### 1 

# Mobile Source Emissions Modeling
for Macon Nonattainment Area
PM2.5 Maintenance Plan Motor Vehicle Emissions Budget

1.0 Overview

The Georgia Environmental Protec tion Division (EPD) worked with the Georgia Department of Transportation (GDOT) and the Macon-Bibb County Planning and Zoning Commission, the Metropolitan Planning Or ganization (MPO) for M acon, to develop mobile 1 

### source emissions inventories for the purpose of establishing mo tor vehicle emissions budgets (MVEB) for the 2023 maintenance year for the Macon PM2.5 Main tenance State Implementation Plan (SIP) revision, hereinafter called the Macon PM2.5 Ma intenance Plan. The 2023 mobile emissions were developed consistent with the single-run, annual-average-conditions approach described in EPA's August 9, 2005, Guidance for Creating Annual On-Road Mobile Source Emission Inventories for PM2.5 Nonattainment Ar eas for Use in SIPs and Conformity

. 2 

### Consistent with this guidance, once this budget is found adequate or approved by EPA, subsequent emissions analyses for transportation c onformity will also use the same annual-average-conditions approach used to establish the MVEB. These inventories reflect the most recent planning assumptions and emission factor model availabl e, and the use of an updated travel demand
model. The GDOT travel demand and emissions estimation modeling process was employed to
estimate mobile source emission inventories to establish the MVEB for the Macon PM2.5
Maintenance Plan in a manner consistent with federal regulations for performing regional emissions analyses used in transportation c onformity determinations. The alignment of methodologies for MVEB and transportation c onformity emissions analyses reduces the possibility of spurious differences between motor vehicle emission budgets and transportation conformity analyses that must conform to those budgets.

Effective April 5, 2005, the U.S. Environmenta l Protection Agency (EPA) designated Floyd County as nonattainment for the annual fine particulate (PM2.5) National Ambient Air Quality Standard. The PM2.5 standard is subject to Subp art 1 of the Clean Air Act, the more general nonattainment area planning and c ontrol requirements of the Act. The designation also defined the year 2010 as the deadline for the Macon area to attain the PM2.5 standard. Based on qualityassured and certified monitoring data for the 2007–2009 monitoring period, EPA determined that
the Macon Area attained the 1997 annual PM2.5 NAAQS by the appli cable attainment date of April 5, 2010, on June 2, 2011.

1 The term "mobile" is used to describe emissions from on-road motor vehicles.

2 http://epa.gov/otaq/stateresources/transconf/policy/420b05008.pdf

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### 4 Based on consultation between representati ves from Monroe County and GDOT, it was
determined that GDOT would al so represent Monroe County on the interagency committee. Monroe County signed a letter authorizing GDOT to represent their transportation interests throughout the conformity process under both ozone and PM2.5 standards. A copy of the signed
letter is in Exhibit 1.



## 1.2 Emissions Analysis – Models and Assumptions

In accordance with Section 93.105(b) of the Tr ansportation Conformity Rule and Sections 106(g) and 106(h) of Georgia's tr ansportation conformity SIP, a ll of which require interagency consultation for SIP development, a detailed listi ng of the procedures an d planning assumptions used for the regional emissions analysis supporting development of the MV EB was distributed to the interagency consultation committee for review on Septem ber 15, 2011. The assumptions used to develop Macon's conforming Long Ra nge Transportation Plan and Transportation Improvement Program were also used to deve lop the network and emissions for the Macon PM2.5 Maintenance Plan MVEB, which requ ired emissions for the year 2023.

The MOVES input files reflect all federal and st ate motor vehicle emissi on control programs. In addition, the input files were customized to refl ect the specific weather conditions and vehicle registration data for the Macon nonattainment area.



## 2.0 Travel Demand Modeling Procedures

Georgia DOT is responsible for the development a nd application of the travel demand models for
the urban areas outside of Atlanta. This se ction summarizes the Macon model’s key travel demand modeling attributes, listed below, as they relate to the most important factors in estimating emissions.

1. Socio-economic data based on best available information
2. Consistency between transportation a lternatives and land use scenarios
3. Modeled volumes validated against observed counts
4. Reasonable agreement between travel time s used for trip-distribution and trip assignment
5. Reasonable sensitivity to time, cost and other factors affecti ng travel choices
6. Capacity-sensitive traffic assignment methodology

Model Attributes 1 & 2 (Socio-Economic Data ) 

### The primary data inputs to tr avel demand models are socio-ec onomic data, such as population and employment, and transportation networks. Mode ling attributes one and two deal specifically with the socio-economic data inputs to the travel demand modeling process.

The first modeling attribute is that the socio- economic data be based on the best available information. In Georgia, each MPO has the responsibility of preparing socio-economic data. Georgia DOT reviews the socio-economic data for reasonableness and accuracy. The data development process and accuracy checks rely on the best available information, such as US

### 5 Census data, aerial photography, land use maps, knowledge of proposed new developments and site visits (local know ledge). Other reasonableness and logi c checks are made for data at the traffic zone level, such as calculating statistics including population per household, population density and employment density. The MPOs a nd GDOT work cooperatively, using the best available data, to insure that the data inputs to travel demand models are accurate and reasonable.

The second modeling attribute is th at socio-economic data reflect the transportati on alternatives being considered. This relates to the fact that improved transportation accessibility can alter land use patterns. However, it is generally accepted th at significant improvements in transportation accessibility are necessary to bring about relative ly small changes in land use. Due to their complexity, land use models are generally utiliz ed in only a few large metropolitan areas in the United States. Georgia’s MPOs, with the excep tion of Atlanta, do not use land use models. Instead, usually a single forecast for future socio-economic data is made that takes into consideration planned major tran sportation improvements. Future forecasts are generally made by first developing regional contro l totals for expected growth. A llocation of expected growth is then done using known development patterns and proposals as the basis, taking into consideration planned infrastructure improvement s (new highways, sewer extensions, etc.). If unanticipated major projects are ev aluated during the plan update process, a revised forecast may be developed with guidance from the MPO’ s Technical Coordinating Committee. The population and employment forecasts for th e MATS area are listed in Table 2.0-1.

Table 2.0-1 Population and Employment Forecasts for MATS Area
2007 and 2023

2007 2023 Total Population 168,747 174,291 Number of Households 67,805 70,196 Employment 107,423 123,249

Model Attribute 3 (Model Validation)
The next attribute involves th e validation of travel demand m odels against observed traffic counts. Model validation is the process of insuri ng travel models produce results that reasonably replicate observed travel patterns. Properly validated models not only replicate observed conditions, but they also use accu rate inputs and apply reasonable calculations to do so.

Georgia DOT applied multiple validation checks to each of the major steps in the Macon travel demand modeling process. In addition to socio- economic data checks, both the inputs to and outputs from the models were checked for accur acy and reasonableness during each step of the process. These inputs and outputs include transportation networ k attributes, trip generation parameters and results, trip distribution parame ters and average trip le ngths by purpose, auto occupancy rates, and speed-volume relationships.

### 6 Highway Networks – Air Quality Attributes Georgia DOT develops and maintains highway ne tworks with MATS review and assistance. Highway network attributes are reviewed for accu racy using the state roadway characteristics database, aerial photography and site visits / loca l knowledge. Network link attributes include the HPMS functional classification, so that modele d and observed Vehicle Miles Traveled (VMT) can be compared by county. Networks also incl ude GDOT traffic count station numbers, so counts for the base year model can be includ ed in output networks for validation purposes.

Highway Networks - Speed Since speeds are important for mobile emissi ons estimation, GDOT uses reasonable inputs and
validates each of the factors that influence speed estimation; particularly the following:

 Roadway capacities

 Free-flow speeds

 Modeled volumes

 Speed-volume relationships

Link Capacities Georgia DOT’s link capacities were developed using the latest Highway Capacity Manual Software with typical parameters for various ro adway classes and area t ypes. The density of population and employment is used to classify the intensity of development patterns throughout the study area. The Macon model uses the follo wing seven area types to classify land use.

 (1) - Central Business District (CBD) / High Density Urban

 (2) - Urban Commercial

 (3) - Urban Residential

 (4) - Suburban Commercial

 (5) - Suburban Residential

 (6) - Exurban

 (7) - Rural

Table 2.0-2 displays the hourly cap acities per lane utilized in the Macon travel demand model.
Table 2.0-2 Macon Model Hourly Per Lane Capacity Matrix

Facility Type Area Type
1 2 3 4 5 6 7

Interstate 1900 1950 2000 2050 2100 2060 2020 Freeway 1600 1660 1730 1790 1850 1820 1780 Expressway 1300 1380 1450 1530 1600 1570 1540 Parkway 1170 1240 1310 1370 1440 1410 1380 Freeway to Freeway Ramp 1400 1530 1650 1780 1900 1860 1820 Freeway Entrance Ramp 900 1030 1150 1280 1400 1370 1340 Freeway Exit Ramp 800 810 810 820 820 810 790 Principal Arterial – Class I 1000 1030 1050 1080 1100 1080 1060 Principal Arterial – Class II 900 900 900 900 900 880 860
Minor Arterial – Class I 800 810 810 820 820 810 790
Minor Arterial – Class II 630 630 640 640 640 630 610

### 7 Facility Type Area Type
1 2 3 4 5 6 7 One Way Arterial 760 760 770 770 770 760 740 Major Collector 520 530 540 550 560 550 540
Minor Collector 380 390 390 400 400 390 380 One Way Collector 460 470 470 480 480 470 460
Local Road 340 350 360 370 380 370 360
Centroid Connector 0 0 0 0 0 0 0



### Free-flow Speeds Assumed free-flow speeds are approximately 5 mp h faster than typical speed limits for the various roadway classes and area types, taking into consideration control for delay (i.e., traffic signals) if applicable. Peak and off-peak free-fl ow speeds were evaluated using observed speeds obtained from a travel time study conducted in the A ugusta area. An analysis of the Augusta data indicated that Augusta ’s characteristics and data results are appropriate for use as a base in the Macon model since the travel dynamics for thes e urban areas are very similar. Through the process of model calibration and validation, the speeds were revi sed slightly for a couple of facilities to more accurately repr esent travel conditions in the Macon area. Table 2.0-3 displays the free-flow speeds utilized in the Macon travel demand model.

Table 2.0-3 Macon Model Free-flow Speed Matrix

Facility Type Area Type
1 2 3 4 5 6 7
Interstate 55 60 60 60 60 70 70 Freeway 50 55 55 55 55 60 60 Expressway 50 50 50 50 55 55 55 Parkway 45 50 50 50 50 55 55 Freeway to Freeway Ramp 55 55 55 55 55 55 55 Freeway Entrance Ramp 45 50 50 50 50 55 55 Freeway Exit Ramp 22 23 30 31 34 40 48 Principal Arterial – Class I 22 28 33 34 37 47 52 Principal Arterial – Class II 23 26 31 32 35 45 49
Minor Arterial – Class I 22 23 30 31 34 40 47
Minor Arterial – Class II 21 22 27 30 32 38 45 One Way Arterial 23 26 30 32 35 42 48 Major Collector 17 18 21 27 29 34 42
Minor Collector 14 15 18 24 26 30 40 One Way Collector 17 18 21 27 29 34 42
Local Road 14 14 17 18 22 28 35
Centroid Connector 14 14 17 18 22 28 35



### Modeled Volumes Output modeled volumes are validated against traffic counts at severa l levels – regional,

### 8 corridors and link-by-link. Regiona l evaluations include VMT, R oot Mean Squared Error and RSquared calculations. Corridor evaluations are primarily screenline and cutline comparisons. Nationally recognized maximum de sirable deviation standards ar e applied to analyze model performance at the link level.

Base year external station volumes are based directly on observed traffic counts at each location. Future year external station volumes are estimated from historical trends in traffic counts at each location. Extrapolated future exte rnal station volumes are refine d to insure use of reasonable annual compounded growth rates.

Speed-Volume Relationships Georgia DOT uses speed-volume relationships that are different for various roadway types and area types. The speed-volume curves are calib rated to accurately reflect observed traffic volumes, while retaining sensible shapes to in sure reasonable congested speeds. Peak-period speed data obtained from the GDOT travel tim e study was used as a r easonableness check in calibrating GDOT speed-volume curves.

Trip Generation The GDOT trip generation process primarily us es parameters from the Augusta household survey, the Quick Response Freight Manual and US Census data. Minor adjustments are made to GDOT standard procedures to reflect unique characteristics in each area being modeled (e.g., port, military bases, etc.). Various validation ch ecks are made to insure that trip generation
results are reasonable. National data sources are used as reasonableness checks for trip generation results.

Trip Distribution Trip distribution parameters are calibrated to produce reasonable average trip lengths. Expected average trip lengths are estimated from Census Journey-to-Work data and the population and geographic size of the modeled area . Travel times from trip assignm ent are used as input to trip distribution (i.e., feedback), which strengthen s the validity of the modeled trip lengths.

Model Attribute 4 (Feedba ck of Travel Times)
The Macon model insures that there is reasonable agreement between travel times used for trip distribution and trip assignment by implementing a feedback loop. Within the feedback loop, all model steps from trip distribution to trip assi gnment are repeated until trip tables and link volumes change very little from one loop to the next. The Macon model includes a closure criterion for determining whether there is “rea sonable agreement” in travel times for trip distribution and trip assignment . Closure is obtained if the following criterion is met:

 Maximum link volume change =< 1,000

The Method of Successive Averages is used to insure that the model reaches stable conditions.

### 9 Model Attribute 5 (Mode Choice) The fifth modeling attribute calls for mode choice models to be reasonably sensitive to changes
in travel times and costs. The Macon travel demand model utilizes a trip-end based procedure that determines transit-oriented person trips be fore the region’s person trips are converted to vehicle trips. This trip-e nd model estimates transit patronage based on socio-economic
characteristics such as income or auto-own ership, rather than transportation system
characteristics.

Model Attribute 6 (Traffic Assignment) The sixth modeling attribute calls for the use of capacity sensitive assignment procedures. The Macon model uses a 24-hour equilibrium assignment algorithm. The traffic assignment algorithm is iterative, running through successive applica tions until equilib rium occurs. Equilibrium occurs when no trip can be made by an alternate path without increasing the total travel time of all trips in the network. The equilibrium assignment is an iterative process that reflects travel demand assigned to minimum time pa ths as well as the effect s of congestion. In each assignment iteration, traffic volumes are lo aded onto network links and travel times are adjusted in response to the volume to capacity re lationships. Final assi gned volumes are derived by summing a percentage of the loadings from each iteration. The percentages reflect congested conditions that usually influence motorists' path selection for a portion of the day, not the entire day.

Georgia DOT requires multiple validation checks to each of the major steps in the travel demand modeling process. Output modeled volumes are valid ated against traffic c ounts at several levels – regional, corridors (s creenlines) and link- by-link. Regional evaluations include VMT, Root Mean Squared Error and R-S quared calculations for volume-count matching. Corridor evaluations are primarily screenline comparis ons. Nationally recognized maximum desirable deviation standards are applied to analyze model performance at the link level. These include
FHWA’s “ Calibration & Adjustment of System Planning Models ”, 1990, and the NCHRP Report
365: “ Travel Estimation Techniques for Urban Planning ”, 1998. The Macon model was also validated using 24-hour counts and modeled volum es. Documentation on the development of the Macon Model is in Appendix A.



## 2.1 Travel Demand Modeling Post-Processing Procedures

The Macon regional travel demand model produces daily estimates of travel and vehicle hours traveled (VHT) and a peak hour speed for each link in the highway network. The links from the daily highway assignment contain a variety of attri butes such as the number of distance, lanes, speed, capacities and daily volumes. The daily VMT is determined by multiplying the daily volume by the distance for each link. In order to account for travel conditions throughout the day, VMT estimates, times and speeds by hour were produced. Other refinements to the network link data, discussed below, were performed to produce the files needed for MOVES. The procedures used in estimating emissions for the Macon model area are consistent with the procedures used for emissions modeling (inc luding conformity analyses) in the other nonattainment areas in Georgia.

### 10 HPMS Adjustment of VMT In order to develop the information necessary to perform emissions modeling, post-processing of the output from the travel demand model was required. First, intra-zonal VMT is normally not reflected in the daily network assignment. A pr ocedure was used that multiplied the number of intra-zonal vehicle trips from the vehicle trip ta ble by the zone centroid di stance to calculate the
intra-zonal VMT. This VMT was then added to the network in a new link and summarized in
the model VMT summaries.

Next, the daily VMT from the travel demand mo del was adjusted based on the VMT estimates that GDOT develops for the Highway Performan ce Monitoring System (HPMS). According to Section 3.4.2.4 of EPA's "Volume IV" guidance, 4 

### "[T]he detailed VMT estimates produced by the transportation planning proce ss should be made consistent in the aggregate with HPMS." Consistent with this long-st anding SIP guidance, Section 93.122(b)(3) of the Transportation Conformity Rule, Procedures for Determining Regional Transportation Related Emissions, says:

"Highway Performance Monitoring System (HPMS) estimates of vehicle miles traveled (VMT) shall be considered th e primary measure of VMT within the portion of the nonattainment or maintenan ce area and for the functional classes of roadways included in HPMS.... For area s with network-based travel models, a factor (or factors) may be developed to reconcile and calibrate the network-based travel model estimates of VMT in the base year of its vali dation to the HPMS estimates for the same period. These factors may then be applied to model estimates of future VMT."

The EPA guidance issued in August 2005, Guidance for Creating Annual On-Road Mobile Source Emission Inventories for PM2.5 Nonattainme nt Areas for Use in SIPs and Conformity

, identified several approaches for preparing PM2.5 emi ssions. The guidance also specified that the interagency consultation process should be used to determine which approach is most appropriate for the area. The Macon inte ragency consultation group agreed to the Single-Run Approach recommended by EPD and GDOT for establishing the MVEB and performing subsequent conformity analyses. This methodology involves a single set of modeling runs using MOVES for each scenario year and annual average VMT.

HPMS adjustment factors were developed base d on the average annual daily HPMS VMT for the model calibration year of 2006. The HPMS adjust ment reconciles the travel demand model linkbased VMT to the average annual daily travel cond itions at the aggregate f unctional class level. The aggregate functional classifi cation level was used since FHWA eliminated the urban/rural area type distinction from HPMS functional classifications beginning with the 2009 data, reported in 2010. ( Guidance for the Functional Classifica tion of Highways (updated), Federal Highway Administration, October 14, 2008.)

To determine the “2006 HPMS VMT” adjustme nt factors, the average annual daily Floyd County VMT for the year 2006 was summarized by the HPMS functional classifications from the Georgia Department of Transportation’s Of fice of Transportation Data “445 Report.” The

4 Procedures for Emission Inventory Preparation, Volume IV: Mobile Sources , EPA-420-R-92-009, US EPA, Office of Air and Radiation, Office of Mobile Sour ces, 1992, http://www.epa.gov/otaq/invntory/r92009.pdf.

### 11 data was summarized for the Macon MPO area wh ich consists of all of Bibb County and a portion of Jones County. The 445 report su mmarizes the mileage and VMT by function classification by county. Since only a portion of Jones County was included in the Macon regional travel demand model, adjustments to the HPMS VMT summaries for Jones County had to be performed. The highway mileage for Jones County by functional classification was
summarized for the area within the Macon m odel and compared to the county summary. A factor was developed based on the percent of the highway mileage within the model compared to the total mileage for the county by functional classi fication. This factor was then applied to the average daily HPMS VMT by functional classifi cation to determine th e average annual daily VMT that will be used in the HPMS VMT adjust ment process. Table 2.1-1 lists the highway mileage and average annual daily VMT for the en tire Jones County and for the portion of the county that is included in the regional travel demand model.

Table 2.1-1 Highway Mileage and Average Annual Daily VMT for Jones County

Highway Mileage Average Annual Weekday Adjusted VMT

Functional
Class Name Functional
Class No. Macon
2006
Model GDOT
HPMS Whole County Modeled
Portion
Rural Interstate 1 0.00 0.00 0 0 Rural Principal Arterial 2 2.22 2.39 14,644 13,603
Rural Minor Arterial 6 3.87 57.54 420,328 28,270 Rural Major Collector 7 35.10 68.06 132,779 68,477
Rural Minor Collector 8 20.60 46.32 85,156 37,872 Rural Local 9 77.10 328.39 113,495 26,647
Urbanized
Interstate 11 0.00 0.00 0 0 Urban Freeway 12 0.00 0.00 0 0
Urbanized Principal Arterial 14 13.50 3.00 50,912 229,104
Urbanized Minor Arterial 16 4.40 2.56 11,343 19,496
Urbanized
Collector 17 10.50 4.05 8,141 21,106 Urbanized Local 19 18.90 32.46 39,795 23,171 186.19 544.77 876,593 467,745

### 12 Table 2.1-2 lists the daily VMT for the Macon MPO area from the travel demand model by

county.

Table 2.1-2 Summary of 2006 Daily VMT for Macon MPO Area (from the MATS travel demand model)

Functional Class
Name Functional
Class No. Bibb County Jones County Total Interstates 1,11,12 2,314,061 0 2,314,061 Principal Arterials 2,14 840,422 140,967 981,389 Minor Arterials 6,16 1,258,455 30,931 1,289,386 Collectors 7,8,17 413,748 53,205 466,953 Local 9,19 691,847 98,336 790,183 Total 5,518,532 323,440 5,841,972

Table 2.1-3 lists the adjustment factors based on the comparison between the HPMS average annual daily VMT and the VMT from the regional travel demand model. These factors were applied to the VMT on each link in the highway network based on the functional classification for the years 2007 and 2023.

Table 2.1-3 HPMS VMT Average Annual Daily Adjustment Factors for Macon
MPO Area

Functional Class
Name Functional Class No. 2006 HPMS

VMT 2006 Model
VMT Adjustment Factor



### Interstates 1,11,12 2,381,607 2,314,061 1.03 

### Principal Arterials 2,14 1,012,878 981,389 1.03 

### Minor Arterials 6,16 1,382,813 1,289,386 1.07 

### Collectors 7,8,17 565,481 466,953 1.21 

### Local 9,19 941,331 790,183 1.19 

### Total 6,284,109 5,841,972 1.08



### The HPMS adjustment factors were develope d for the entire Macon MPO which includes a portion of Jones County to reflect th e travel activity for the entire area. However, because Jones County is not part of the nonattainment area, only the travel within Bibb County was used in the preparations of emissions for conformity dete rmination. The following equation was used to calculate the 2006 HPMS adjustment factors:

HPMS Adjustment Factor i 

### =(2006 HPMS VMT i 

### /2006 Model VMT i 

### )

where i 

### =HPMS functional class)

### 13 The 2006 factors were applied to the VMT on each link in the highway network based on the aggregate functional classification for the year 2006. These factors were applied to the model application for 2007 and 2023. Table 2.1-4 lists the adjusted modeled VMT by year for Bibb County which was used in the emissions modeling procedures.

Table 2.1-4 Average Annual Daily Modeled VMT for Bibb County (As adjusted per Table 2.1-1)

Year VMT 2007 5,865,058 2023 7,244,222

VMT Estimation by Hour Factors derived using the me thodology described in the report Speed and Delay Prediction Models for Planning Applications were used to develop VMT estimates by hour from the daily estimates. The methodology is a simplified queu ing-based model (QSIM) which incorporates several key features such as the use of tempor al distribution as a basis for developing hourly traffic estimates and the estimation of “peak spread ing” for both arterials and freeways. Because most analytical methods consider only the effects of p eak hour congestion (s uch as V/C ratio), a new measurement of daily conge stion was used: the Average A nnual Daily Traffic-to-Capacity (AADT/C) ratio, where capacity is the two-way cap acity. Hourly factors were developed based
on the AADT/C ratio and are listed in Table 2.1-5. These factors were applied to the daily traffic assignment to develop hourly volumes and VMT by link. Conical volume-delay curves were then used to develop hourl y times and speeds by link.

Roadtype Classification
The network link data was also classified by MOVES roadtype based on functional classification. The mapping of FHWA highway functional system classifications to the appropriate MOVES roadtypes used for this mode ling is listed in Table 2.1-6. Interstate and freeway ramps are functionally cla ssified as local facilities in Ge orgia. Since these facilities operate with restricted access, the facility type definition variable (a unique variable in the highway network that defines the highway faci lities based on their operation) was used to classify ramps as either rural or urban restrict ed facilities. Off-network activity is calculated within the MOVES process based on the source t ype (vehicle) population and is not an input
from the travel demand model data.

Table 2.1-6 Listing of FHWA Highway Func tional Classifications Mapped to MOVES Road Types

FHWA Highway Functional System MOVES Road Type MOVES Value
Rural interstate Rural restricted access 2 Rural other principal arterial Rural restricted access 2
Rural minor arterial Ru ral unrestricted access 3

### 14 FHWA Highway Functional System MOVES Road Type MOVES Value Rural major collector Rural unrestricted access 3
Rural minor collector Rura l unrestricted access 3
Rural local Rural unrestricted access 3
Urban interstate Urba n restricted access 4 Urban other freeways Urban restricted access 4 Urban other principal arterial Urban unrestricted access 5
Urban minor arterial Urban unrestricted access 5
Urban collector Urban unrestricted access 5
Urban local Urban unrestricted access 515Table 2.1-5Hourly Distribution of Daily Vehicle Miles Travelled (VMT) Source: Speed and Delay Prediction Models for Planning ApplicationsAADT/CRatio123456789101112131415161718192021222324<= 7 1.00 0.60 0.48 0.45 0.67 1.85 5.01 7.73 6.13 4.82 4.79 5.12 5.36 5.47 6.05 7.27 8.28 8.27 5.89 4.18 3.32 3.03 2.44 1.778 1.01 0.61 0.48 0.43 0.64 1.82 5.04 7.67 6.42 4.97 4.82 5.19 5.41 5.53 6.07 7.14 7.97 7.90 5.87 4.21 3.33 3.10 2.53 1.849 1.01 0.61 0.48 0.42 0.63 1.81 5.06 7.64 6.56 5.05 4.84 5.22 5.43 5.56 6.08 7.08 7.81 7.71 5.86 4.22 3.33 3.13 2.58 1.8810 1.01 0.60 0.47 0.40 0.61 1.80 5.05 7.49 6.61 5.19 4.95 5.29 5.46 5.60 6.09 6.99 7.58 7.50 5.92 4.31 3.38 3.18 2.63 1.9111 1.01 0.60 0.45 0.38 0.58 1.79 5.05 7.33 6.65 5.33 5.06 5.35 5.50 5.64 6.11 6.90 7.34 7.28 5.98 4.39 3.43 3.23 2.68 1.9312 1.01 0.59 0.44 0.36 0.56 1.78 5.04 7.17 6.70 5.47 5.17 5.42 5.53 5.68 6.12 6.81 7.10 7.06 6.04 4.48 3.48 3.28 2.73 1.9613 1.27 0.89 0.75 0.68 0.86 1.98 4.97 6.92 6.49 5.36 5.09 5.32 5.42 5.55 5.96 6.59 6.86 6.82 5.88 4.45 3.54 3.35 2.85 2.1414 1.54 1.19 1.06 0.99 1.16 2.18 4.90 6.67 6.28 5.25 5.00 5.21 5.30 5.43 5.80 6.37 6.61 6.58 5.73 4.43 3.60 3.43 2.97 2.3315 1.80 1.48 1.37 1.31 1.46 2.38 4.82 6.42 6.07 5.14 4.92 5.11 5.19 5.30 5.63 6.15 6.37 6.34 5.57 4.40 3.65 3.50 3.09 2.5116 2.06 1.78 1.68 1.63 1.76 2.58 4.75 6.17 5.86 5.04 4.84 5.00 5.08 5.18 5.47 5.93 6.12 6.10 5.42 4.38 3.71 3.58 3.21 2.7017 2.33 2.08 1.99 1.95 2.06 2.77 4.68 5.92 5.65 4.93 4.75 4.90 4.96 5.05 5.31 5.71 5.88 5.86 5.26 4.35 3.77 3.65 3.33 2.8818 2.59 2.38 2.30 2.26 2.36 2.97 4.60 5.67 5.43 4.82 4.67 4.79 4.85 4.92 5.14 5.49 5.63 5.61 5.10 4.32 3.82 3.72 3.45 3.0619 2.85 2.68 2.61 2.58 2.66 3.17 4.53 5.42 5.22 4.71 4.59 4.69 4.74 4.80 4.98 5.27 5.39 5.37 4.95 4.30 3.88 3.80 3.57 3.2520 3.11 2.97 2.92 2.90 2.96 3.37 4.46 5.17 5.01 4.60 4.50 4.58 4.62 4.67 4.82 5.05 5.14 5.13 4.79 4.27 3.94 3.87 3.69 3.4321 3.38 3.27 3.24 3.22 3.27 3.57 4.39 4.92 4.80 4.49 4.42 4.48 4.51 4.55 4.66 4.83 4.90 4.89 4.64 4.25 4.00 3.95 3.81 3.6222 3.64 3.57 3.55 3.53 3.57 3.77 4.31 4.67 4.59 4.38 4.33 4.38 4.39 4.42 4.49 4.61 4.66 4.65 4.48 4.22 4.05 4.02 3.93 3.8023 3.90 3.87 3.86 3.85 3.87 3.97 4.24 4.42 4.38 4.28 4.25 4.27 4.28 4.29 4.33 4.39 4.41 4.41 4.32 4.19 4.11 4.09 4.05 3.9824 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17 4.17Hour of Day

### 16 Speed Bin Classification The network link hourly data was al so stratified by speed bin. As previously mentioned, conical volume-delay curves were used to develop hou rly times and speed by link. MOVES defines 16 "speed bins" which describe the average drivin g speed on a roadtype or highway network link. Table 2.1-7 lists the speed bins and ranges that were assigned to the network link data by hour.

Table 2.1-7 Listing of MOVES Speed Bins

Speed Bin Lower Range Upper Range

1 <= 2.4

2 2.5 7.4

3 7.5 12.4

4 12.5 17.4

5 17.5 22.4

6 22.5 27.4

7 27.5 32.4

8 32.5 37.4

9 37.5 42.4

10 42.5 47.4

11 47.5 52.4

12 52.5 57.4

13 57.5 62.4

14 62.5 67.4

15 67.5 72.4

16 => 72.5



## 2.2 Development of MOVES Input Files

The mobile source emissions used for the Macon analysis reflect all federal and state mobile source control rules, including federal tailpipe sta ndards and gasoline sulfur and volatility limits.

Interagency Consultation To prevent transportation conformity problems, the emissions used in preparation of emission inventories for SIP MVEB development and tr ansportation conformity analysis must be consistent. Interagency consulta tion helps to assure consistenc y between the two procedures. The MOVES input parameters for the Macon PM2.5 Maintenance Plan mobile source emissions modeling were established through interage ncy consultation and are listed below:

1) Emission Factor Model: MOVES 2010a - Database: MOVES20100830

### 17 a. Emission Process - using MOVES in Inventory mode for a July day, which was
annualized for 2007 and 2023 Maintenance Plan Inventories, and as the basis for 2023 motor vehicle emissions budgets

2) MOVES Inputs –

a. Temperature and relative humidity
i. 2007 data from National Mobile I nventory Model’s (NMIM) default database (NCD20090531)
b. Fuel
i. Bibb County - MOVES defaults for July
ii. Monroe County - MOVES defaults for July

c. 2002 Regional Fleet Age Distribution
i. Derived from R.L. Polk & Co. registra tion data for the five counties in the Macon metropolitan statistical area: Bibb, Crawford, Jones, Monroe, and Twiggs
ii. Default for HDDV Class 8B

d. Regional Vehicle Population
i. Started with 2002 R.L. Polk & Co. registration data for for the five counties in the Macon MSA,, as well as the Georgia Dept. of Revenue’s registration data for 2003 and 2007
ii. Vehicles by type were grown from 2002 to 2007 using different growth factors by vehicle type based on eith er Census person population estimates or Georgia 2007 registration data. Methodology deve loped by EPD for inputs to the SMOKE-MOVE S Integration Tool.
iii. 2023 data grown from 2007 based on estimated MPO population growth
iv. Vehicle population for MOVES sour ce type 62 revised using MOVES default VMT/VPOP ratios and VMT for HPMS type 60 data

e. MOVES Default VMT fractions by source ty pe, adjusted using GDOT count data

MOVES
MOVES20100830 is the latest data base version for EPA’s motor vehicle emissions model. MOVES requires a variety of input files. The MOVES input data files associated with travel behavior have been developed using the Mac on travel demand model data, Georgia vehicle classification counts, and MOVES national defaults. Other data sources were used to develop the source type population data, me teorology data, and fuel specifica tions. These data files were developed through Interagency Consultation.

MOVES Parameters MOVES was run for 2007 and 2023 using the following parameters listed in Table 2.2-1. The RunSpecs are shown in Exhibit 2 and 3.18Table 2.2-1MOVES Input ParametersParametersInput ValuesScaleDomain: County Calculation Type: Inventory ModeTime SpansTime Aggregation: Weekday –24 hours Month: July Year: 2007 or 2023GeographicalBoundary Bibb CountyVehiclesEquipmentFuels:Diesel FuelGasolineSource Use Types:Combination Long-haul TruckCombination Short-haul TruckIntercity BusLight Commercial TruckMotor HomeMotorcyclePassenger CarPassenger TruckRefuse TruckSchool BusSingle Unit Long-haul TruckSingle Unit Short-haul TruckTransit BusSelections:Diesel Fuel - Combination Long-haul TruckDiesel Fuel - Combination Short-haul TruckDiesel Fuel - Intercity BusDiesel Fuel - Light Commercial TruckDiesel Fuel - Motor HomeDiesel Fuel - Passenger CarDiesel Fuel - Passenger TruckDiesel Fuel - Refuse TruckDiesel Fuel - School BusDiesel Fuel - Single Unit Long-haul TruckDiesel Fuel - Single Unit Short-haul TruckDiesel Fuel - Transit BusGasoline - Combination Short-haul TruckGasoline - Light Commercial TruckGasoline - Motor HomeGasoline - MotorcycleGasoline - Passenger CarGasoline - Passenger TruckGasoline - Refuse TruckGasoline - School BusGasoline - Single Unit Long-haul TruckGasoline - Single Unit Short-haul TruckGasoline - Transit Bus19ParametersInput ValuesRoadType Types: 1-5Off-NetworkRural Restricted AccessRural Unrestricted AccessUrban Restricted AccessUrban Unrestricted AccessPollutants andProcessesPM2.5Primary Exhaust PM2.5 – TotalRunning ExhaustStart ExhaustCrankcase Running ExhaustCrankcase Start ExhaustCrankcase Extended Idle ExhaustExtended Idle ExhaustPrimary PM2.5 – Organic CarbonRunning ExhaustStart ExhaustCrankcase Running ExhaustCrankcase Start ExhaustCrankcase Extended Idle ExhaustExtended Idle ExhaustPrimary PM2.5 – ElementalCarbonRunning ExhaustStart ExhaustCrankcase Running ExhaustCrankcase Start ExhaustCrankcase Extended Idle ExhaustExtended Idle ExhaustPrimary PM 2.5 SulfateParticulateRunning ExhaustStart ExhaustCrankcase Running ExhaustCrankcase Start ExhaustCrankcase Extended Idle ExhaustExtended Idle ExhaustPrimary PM2.5 – BrakewearBreakwear20ParametersInput ValuesParticulatePrimary PM2.5 – TirewearParticulateTirewearTotal Energy ConsumptionRunning ExhaustStart ExhaustNOxOxides of Nitrogen (NOx)Running ExhaustStart ExhaustCrankcase Running ExhaustCrankcase Start ExhaustCrankcase Extended Idle ExhaustExtended Idle ExhaustOutput General OutputUnits:Units: GramsEnergy Units: JoulesDistance Units: MilesActivity:Distance TraveledPopulationMethodology to Develop MOVES Input DataThe data files to run MOVES are entered via the County Data Importer. The methodologiesto prepare the data files are described inTable 2.2-2 with their associatedExcel Workbook and Worksheet names. The input data are shown in Exhibits 2-5 for the years 2007and 2023.21Table 2.2-2Methodology to Prepare MOVES Input Data FilesFor the County Data Importer for Bibb CountyInput Data from Travel Demand ModelCounty DataManager InputsWorksheetMethodologyAverageSpeedDistributionavgSpeedDistributionThe weekday link hourly vehicle hours travelled (VHT) is summarized by roadtype and speed bin. The MOVES defaultsfor the 13 source types by year areused to allocate to vehicle type. Thefraction of time in each speed bin for eachhour based on vehicle type,road type, and average speed is calculated wherethe fractions sum to one for each combination of vehicle type and road type byhour.Ramp Fraction RoadTypeThe weekday link VMT is summarized for interstate/freeway and rampfacilities by urban versus rural area typeclassifications. The percent of rampVMT of the total interstate/freeway and ramp VMT is calculated by area type.RoadTypeDistribution roadTypeDistributionThe weekday link hourly VMT is summarized by roadtype. The MOVESdefaults for the 13 source types by yearare used to allocate to vehicle type.The fraction of VMT by road type andvehicle type is calculated where thefractions sum to one for each vehicle type.Vehicle Type VMTHPMSVtypeYearThe weekday VMT is summarized by MOVES roadtype and then weighted bythe vehicle classification counts5for the Georgia area outside of the Atlanta 20county area by the 6 HPMS vehicle types.The fractions for vehicle type 20and 30 are then re-distributed based onthe MOVES source vehicle defaults forthe year. This is because the vehicleclassification counts are collected usingcounters which count vehicles by the number of axles and as a result, thecounts do not accurately reflect the difference between passenger cars andSUVs. The daily VMT is annualizedusing the EPA AADVMT CalculatorExcel workbook.MonthVMTFractionMOVES National DefaultsDayVMTFractionMOVES National Defaults5(A summary of the vehicle classification counts and description of the methodology used is in Exhibit 5)22County DataManager InputsWorksheetMethodologyHourVMTFractionThe weekday link hourly VMT is summarized by roadtype and hour. TheMOVES defaults for the 13 source types by year are used to allocate to vehicletype. The fraction of VMT by road typeand vehicle type is calculated wherethe fractions sum to one foreach vehicle type by roadtype.ThehourVMTFraction must sum to 1 for each source type-road type-type of daycombination.Input Data from Other SourcesCounty DataManager InputsWorksheetMethodologySource TypePopulationsourceTypeYearVehicle population by source types wasdeveloped using 2002 R.L. Polk & Co.registration data. The 2002 data were grown to 2007 using either census personpopulation estimates or Georgia annualvehicle registration data. Vehiclepopulation for source type 62 (long-haultrucks) was recalculated usingcorresponding VMTfor HPMS type 60 data from theHPMSVtypeYearworksheet and national default ratios ofVMT and vehicle population in orderto account for activity from trucksnot registered but run locally. MPOpopulation projection was used tocalculate 2023 vehicle population.I/M Programs IMCoverageNo I/M ProgramFuel SupplyFuel SupplyMOVES Defaults for Bibb CountyFuel FormulationMOVES Defaults for Bibb CountyMeteorology Data ZoneMonthHour NCD20090531-2007 data for Bibb CountyAge Distribution sourceTypeAgeDistributionAge distributions in MOBILE6 formatwere derived from2002 R.L. Polk &Co. registration data for all vehicle types, except for HDDV Class 8B whereMOBILE6 defaults were used. They wereconverted into MOVES format usingEPA converter.

## 2.3 Pr o

The Mo n Macon M 13.5 squ
modeled

, Transpo r nonattai n transpor t The met h

uses rea s

A combi n Monroe running
emissio n segment s

As Figu r historica l
in Table
shown i n outlier. 

## o cedure s

n roe Count y M PO’s stud y

are miles a n

, emissions

r tation Con f

n ment or m
t ation plann i
h odology to

s onable met h

n ation of te c County. G
emissions w

n s. Figure 2

s that are in c

r e 2.3-1 indi c l traffic cou n 2.3-2, and w

n Table 2.3-
If the 199 

## s for Pro d

y portion o f

y area no r in

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estimates w f

ormity Rul e

m aintenanc e i ng area, a n produce th e h ods.

c hniques w a G eorgia DO T

w hile the p .3-1, displa y

c luded in th e

c ates, VMT

n ts for GD O

w ere based o 2 . The 199 7
7 count w 

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f the Macon

the travel d
2 010 Censu s

w ere produ c

e 93.122(a) (

e area V M

n d on road w

e mobile em i

s used to pr o T historical

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e off-model e

Fi
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forecasts fo r O T count st a

o n a linear e 7 count for s

w ere includ e

23 

## E mission s

PM2.5 No n d emand mo d

s contains a

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i ssions for M

o duce the e m

t r affic cou n
t he populat i

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g ure 2.3-1
Count Stat i

r the segme n

a tion 297. T

e xtrapolatio n

s tation 297 w

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## s Using O

n attainment
d el. The are a

population
f f-model te c

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the urban t
M onroe Cou n

m issions for

n ts were u s i on was us

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n t of State R
T raffic volu m

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w as omitte d

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## O ff Mod e

Area is no t

a

encompass of 98. Sin c

c hniques. A
d s shall be

o adways w
t ransportati o

n ty, describ e

the nonatta i

s ed as the b
ed to esti m

s and the ap p

R oute 18 we r

m es projecti o
t orical coun t d because it
l ation wou l 

## e l Techni

t included i es approxi m

c e the area i
A ccording t
used to est i

w ithin the u

o n planning

e d in this se c

i nment port i
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p licable roa

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appears to b
l d be decl i 

## ques

i n the

m ately

i s not o the
i mate

u rban

area.

c tion,

i on of
i mate

n ning dway

u sing layed

e also
b e an i ning.24Table 2.3-2Historical Traffic CountsMacon, Georgia - Off ModelEmission EstimationMonroe CountyPortion for PMRelevant GDOTCount StationsAADT Projected TrafficStation # 1997 1998 1999 2000 2001 2002 2003 2005 2006 2007 2008 2010 2015 2020 2023 2030208 5128 5467 5836 6660 5701 6560 6930 5400 6150 5990 6310 7084 7697 8311 8679 9538210 3800 3828 4086 4769 4325 5443 5300 5010 4870 5320 5300 6221 7135 8049 8597 9877212 2893 3005 3208 3737 3325 4269 4080 4330 4200 4200 3890 4945 5692 6439 6887 7933295 2021 1901 1942 1960 2103 2383 2410 2450 2510 2460 2340 2724 3039 3355 3544 398629725031411 1373 1400 1500 1514 1470 1250 1400 1500 1400 1492 1530 1568 1591 1644Average208 + 210 6,002 6,115 5,2055,510 5,655 5,805 6,653 7,416 8,180 8,638 9,708Difference 1,117 1,630 390 1,280 670 1,010 863 562 262 82 -33927% ofvolume 1,620 1,651 1,4051,488 1,527 1,567 1,796 2,002 2,209 2,332 2,621MOVES was run twice for Monroe County foreach year. First MOVES was run in Emission Rate mode to produce emissions byroadtype and speed. The output from the Rateper Vehicle and Rate per Distance were used to estimatethe running emissions. ThenMOVES was run in Inventory mode. The percentage of the county population within the nonattainment area was applied to producethe non-running emissions. Table 2.3-3 lists the input files to theCounty Data Importer. The input data are shown in Exhibits7-10 forthe years 2007 and 2023.25Table 2.3-3Methodology to Prepare MOVES Input Data FilesFor the County Data Importer for Monroe CountyInput Data from Travel Demand ModelCounty DataManager InputsWorksheetMethodologyAverageSpeedDistributionavgSpeedDistribution MOVES National DefaultsRamp Fraction RoadType MOVES National DefaultsRoadTypeDistribution roadTypeDistribution MOVES National DefaultsVehicle Type VMTHPMSVtypeYearGDOT 445 Report was used to determine annual average DVMT. MOVESNational Default vehicle type fractions wereused to allocate to vehicle type.The daily VMT was annualized usingthe EPA AADVMT Calculator Excelworkbook. (Future year DVMT was grown using past VMT from 445 Reports)MonthVMTFractionMOVES National DefaultsDayVMTFractionMOVES National DefaultsHourVMTFractionMOVES National DefaultsInput Data from Other SourcesCounty DataManager InputsWorksheetMethodologySource TypePopulationsourceTypeYearVehicle population by source types was developed using 2002 R.L. Polk & Co.registration data. The 2002 data weregrown to 2007 using either census personpopulation estimates or Georgia annualvehicle registration data. Censuspopulation projection was used tocalculate 2023 vehicle population.I/M Programs IMCoverageNo I/M ProgramFuel SupplyFuel SupplyMOVES Defaults for Monroe County26County DataManager InputsWorksheetMethodologyFuel FormulationMOVES Defaults for Monroe CountyMeteorology Data ZoneMonthHour NCD20090531-2007 data for Monroe CountyAge Distribution sourceTypeAgeDistributionAge distributions in MOBILE6 formatwere derived from2002 R.L. Polk &Co. registration data for all vehicle types, except for HDDV Class 8B whereMOBILE6 defaults were used. They wereconverted into MOVES format usingEPA converter.Tables 2.3-4 and 2.3-5 list the summary of the emission calculations for the nonattainment area of Monroe County for 2007 and 2023.The spreadsheets are available upon request.27Table 2.3-3Emissions for Nonattainment portion of Monroe County for 2007YearHPMSCodeMOVESRoadTypeVolumeMileageVMTNo AdjFinalVMTSpeedMOVESSpeed BinRunningEmissionFactorRunningEmissions (ingrams)RunningEmissionFactorRunningEmissions (ingrams)2007 9 3 1,527 0.25 381.7 1.0000 381.7 10 3 10.3917 3,966.6607 175.8768 67,134.3903YearStationHPMSCodeVolumeMileageVMTNo AdjFinalVMTSpeedMOVESSpeed BinRunningEmissionFactorRunningEmissions (ingrams)RunningEmissionFactorRunningEmissions (ingrams)2007 297 7 3 1,500 0.25 375.0 1.0000 375.0 35 8 5.7922 2,172.0656 109.6572 41,121.4667Total Running Emissions6,138.7263 108,255.8569YearTotalVehiclePopulationPartialCountyFactor*Total CountyLevel NonRunningEmissions (ingrams)**Non-RunningEmissions prorated by partialcounty factor(ingrams)Total CountyLevel NonRunningEmissions (ingrams)**Non-RunningEmissions prorated by partialcounty factor(ingrams)2007 24,426 0.00426,933.9456 107.7358 1,547,382.3222 6,189.5293YearTotal Emissions(in grams)Total Emissions(in grams)20076,246.4621 114,445.3862YearTotal DailyEmissions (intons)Total DailyEmissions (in tons)20070.0069 0.1262YearTotal DailyEmissions (intons)Total DailyEmissions (in tons)20072.3549 43.1448Note:*Partial county factor is based on percent of the population within the non-attainment area - using 2010 CensusTotal Annual Emissions in TonsPM2.5NOxRunning EmissionsPM2.5NOxPM2.5NOxNon-Running EmissionsEntry/Exit RoadsBased on Stations 208 & 210SR 18 FacilityPro-rated to one stationTotal Daily Emissions in GramsTotalDaily Emissions in TonsPM2.5NOxPM2.5NOx28Table 2.3-4Emissions for Nonattainment portion of Monroe County for 2023YearHPMSCodeMOVESRoadTypeVolumeMileageVMTNo AdjFinalVMTSpeedMOVESSpeed BinRunningEmissionFactorRunningEmissions (ingrams)RunningEmissionFactorRunningEmissions (ingrams)2023 9 3 2,332 0.25 583.1 1.0000 583.1 10 3 1.3428 782.9165 17.2226 10,041.8787YearStationHPMSCodeVolumeMileageVMTNo AdjFinalVMTSpeedMOVESSpeed BinRunningEmissionFactorRunningEmissions (ingrams)RunningEmissionFactorRunningEmissions (ingrams)2023 297 7 3 1,591 0.25 397.8 1.0000 397.8 35 8 0.5214 207.3872 10.5117 4,181.0321Total Running Emissions990.3037 14,222.9109YearTotalVehiclePopulationPartialCountyFactor*Total CountyLevel NonRunningEmissions (ingrams)Non-RunningEmissions prorated by partialcounty factor(ingrams)Total CountyLevel NonRunningEmissions (ingrams)Non-RunningEmissions prorated by partialcounty factor(ingrams)2023 34,441 0.0043,054.5299 12.2181 368,397.9249 1,473.5917YearTotal Emissions(in grams)Total Emissions(in grams)20231,002.5219 15,696.5026YearTotal DailyEmissions (intons)Total DailyEmissions (intons)20230.0011 0.0173YearTotal DailyEmissions (intons)Total DailyEmissions (intons)20230.3779 5.9174Note:*Partial county factor is based on percent of the population within the non-attainment area - using 2010 CensusTotal Annual Emissions in TonsPM2.5NOxTotal Daily Emissions in GramsTotal Daily Emissions in TonsPM2.5NOxPM2.5NOxPM2.5NOxNon-RunningEmissionsEntry/Exit RoadsBased on Stations 208 & 210SR 18 FacilityPro-rated to one stationRunning EmissionsPM2.5NOx

### 29 

## 2.4 Nonattainment Area Emissions Analysis Summary

A factor was developed to annualize the weekda y emissions to include weekend activity. The factor was based on the MOVES defaults for DayV MTFractions which is being used as part of the MOVES inputs. The following formula was used:

Number of weekday equivalents in a year = 365*(5/7)+365*(2/7)*MOVES Urban Weekend Adjustment Factor(.7793) = 341.9809 (rounded to 342)

This is shown in cell D34 of tab "Impor t HPMS AADVMT and Factors" in the EPA AADVMTCalculator Excel workbook. The daily emissions are produced in grams and are converted to tons by dividing by 907,184.74. The daily emissions in tons are then multiplied by 342 to get annual emissions. Table 2.4-1 lists the results from the regiona l emissions analysis produced using the travel dema nd model in daily grams by count y while Table 2.4-2 lists the
emissions in annual tons.

Table 2.4-1 Summary of Mobile Source Emissions for Macon Nonattainment Area (Daily Grams)


## PM2.5 Nox

Year County Running Nonrunning Total Running Nonrunning Total

2007 Bibb 661,868.7737 38,192.5713 700,061.3450 17,386 ,111.1673 2,498,616.5412 19,884,727.7085



### Monroe 6,138.7263 107.7358 6,246.4621 108,255.8569 6,189.5293 114,445.3862



### Total 668,007.5000 38,300.3071 706,307.8071 17, 494,367.0242 2,504,806.0705 1,999,173.0947



## PM2.5 Nox

Year County Running Nonrunning Total Running Nonrunning Total

2023 Bibb 172,857.1837 12,328.0220 185,185.2057 3,7 43,833.9585 1,522,244.4094 1,534,572.4314



### Monroe 990.3037 12.2181 1,002.5218 14,222.9109 1,473.5917 15,696.5026



### Total 173,847.4874 12,340.2401 186,187.7275 3,7 58,056.8694 1,523,718.0011 1,550,268.9340



### Table 2.4-2 Summary of Mobile Source Emissions for Macon Nonattainment Area (Annual Tons)


## PM2.5 Nox

Year County Running Nonrunning Total Running Nonrunning Total

2007 Bibb 249.5183 14.3983 263.9166 6,554.3982 941.9546 7,496.3528

### 30 

## PM2.5 Nox

Year County Running Nonrunning Total Running Nonrunning Total

Monroe 2.3142 0.0406 2.3548 40.8114 2.3334 43.1448



### Total 251.8325 14.4389 266.2714 6,595.2096 944.2880 7,539.4976



## PM2.5 Nox

Year County Running Nonrunning Total Running Nonrunning Total

2023 Bibb 65.1655 4.6476 69.8131 1,411.3897 573.8717 1,985.2614



### Monroe 0.3733 0.0046 0.3779 5.3619 0.5555 5.9174



### Total 65.5388 4.6522 70.1910 1,416.7516 574.4272 1,991.1788



### A series of sensitivity tests were performe d for the future years 2023, 2035 and 2040. These tests assumed different growth scenarios in the nonattainment ar ea and were used to develop safety margins. The last major Regional Tr ansportation Plan was developed in 2009. The update of the Regional Transportation Plan for 2040 is underway and is due in 2013. Model runs were performed for 2040 with vari ous growth assumptions. The estimated growth rate between
2023 and 2040 is less than 10%. An alternative scen ario was tested where the growth increased by 30% for the years 2023 and 2040 to account fo r uncertainty in the future of growth projections and implementation of transportation improvements. The test for 2023 was to account for the potential impact the Transportation Investment Act may have on travel patterns and growth for 2023.

## E xhibit 1: Monroe C

31 

## ount y / G DOT A gr eement32Exhibit 2: 2007 RunSpec for Bibb County<runspec><description><![CDATA[Bibb County 2007 PM2.5 maintenance plan InventoryReadjust HPMS factors based 2006 modelWeight vmt by type by the model vmt by road type071411 - Run #1091211 - Run #5 -Used Cube roadtype dstrb]]></description><modelscale value="Inv"/><modeldomain value="SINGLE"/><geographicselections><geographicselection type="COUNTY" key="13021" description="GEORGIA - Bibb County"/></geographicselections><timespan><year key="2007"/><month id="7"/><day id="5"/><beginhour id="1"/><endhour id="24"/><aggregateBy key="Hour"/></timespan><onroadvehicleselections><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="62" sourcetypename="Combination Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="41" sourcetypename="Intercity Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="42"sourcetypename="Transit Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="11" sourcetypename="Motorcycle"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/>33<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="42" sourcetypename="Transit Bus"/></onroadvehicleselections><offroadvehicleselections></offroadvehicleselections><offroadvehiclesccs></offroadvehiclesccs><roadtypes><roadtype roadtypeid="1" roadtypename="Off-Network"/><roadtype roadtypeid="2" roadtypename="Rural Restricted Access"/><roadtype roadtypeid="3" roadtypename="Rural Unrestricted Access"/><roadtype roadtypeid="4" roadtypename="Urban Restricted Access"/><roadtype roadtypeid="5" roadtypename="Urban Unrestricted Access"/></roadtypes><pollutantprocessassociations><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="15" processname="CrankcaseRunning Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="16" processname="CrankcaseStart Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="17" processname="CrankcaseExtended IdleExhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="90" processname="ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="116" pollutantname="Primary PM2.5 - Brakewear Particulate" processkey="9" processname="Brakewear"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="2" processname="Start Exhaust"/>34<pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="17" processname="Crankcase ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="117" pollutantname="Primary PM2.5 - Tirewear Particulate" processkey="10" processname="Tirewear"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="15" processname="Crankcase Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="17" processname="Crankcase Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="90" processname="ExtendedIdle Exhaust"/></pollutantprocessassociations><databaseselections><databaseselection servername="" databasename="bibb_2007_pm_inventory_input5" description=""/></databaseselections><internalcontrolstrategies><internalcontrolstrategy classname="gov.epa.otaq.moves.master.implementation.ghg.internalcontrolstrategies.rateofprogress.RateOfProgressStrategy"><![CDATA[useParameters No]]></internalcontrolstrategy></internalcontrolstrategies><inputdatabase servername="" databasename="" description=""/><uncertaintyparameters uncertaintymodeenabled="false" numberofrunspersimulation="0" numberofsimulations="0"/><geographicoutputdetail description="COUNTY"/><outputemissionsbreakdownselection><modelyear selected="false"/><fueltype selected="false"/>35<emissionprocess selected="true"/><onroadoffroad selected="true"/><roadtype selected="true"/><sourceusetype selected="false"/><movesvehicletype selected="false"/><onroadscc selected="false"/><offroadscc selected="false"/><estimateuncertainty selected="false" numberOfIterations="2" keepSampledData="false" keepIterations="false"/><sector selected="false"/><engtechid selected="false"/><hpclass selected="false"/></outputemissionsbreakdownselection><outputdatabase servername="" databasename="bibb_2007_pm_SO2_output5" description=""/><outputtimestep value="Hour"/><outputvmtdata value="true"/><outputsho value="false"/><outputsh value="false"/><outputshp value="false"/><outputshidling value="false"/><outputstarts value="false"/><outputpopulation value="true"/><scaleinputdatabase servername="localhost" databasename="bibb_2007_pm_inventory_input5" description=""/><pmsize value="0"/><outputfactors><timefactors selected="true" units="Hours"/><distancefactors selected="true" units="Miles"/><massfactors selected="true" units="Grams" energyunits="Joules"/></outputfactors><savedata></savedata><donotexecute></donotexecute><generatordatabase shouldsave="false" servername="" databasename="" description=""/><donotperformfinalaggregation selected="false"/><lookuptableflags scenarioid="bibb_2007" truncateoutput="false" truncateactivity="false"/></runspec>

### 36 

## Exhibit 2: MOVES Input Data for Bibb County Emissions for PM2.5 SIP Budget – 2007

Ramp Fraction

roadTypeID RampFraction

2 0

4 0.0400

Sample Average Speed Distribution

sourceTypeid roadTypeID hourDayID AvgSpeedBinID AvgSpeedFraction

11 3 115 8 0.29629

21 3 115 8 0.29629

31 3 115 8 0.29629

32 3 115 8 0.29629

41 3 115 8 0.29629

42 3 115 8 0.29629

43 3 115 8 0.29629

51 3 115 8 0.29629

52 3 115 8 0.29629

53 3 115 8 0.29629

54 3 115 8 0.29629

61 3 115 8 0.29629

62 3 115 8 0.29629

11 3 115 9 0.20783

21 3 115 9 0.20783

31 3 115 9 0.20783

32 3 115 9 0.20783

41 3 115 9 0.20783

42 3 115 9 0.20783

43 3 115 9 0.20783

51 3 115 9 0.20783

52 3 115 9 0.20783

53 3 115 9 0.20783

54 3 115 9 0.20783

61 3 115 9 0.20783

62 3 115 9 0.20783

11 3 115 10 0.26139

21 3 115 10 0.26139

31 3 115 10 0.26139

### 37 sourceTypeid roadTypeID hourDayID AvgSpeedBinID AvgSpeedFraction

32 3 115 10 0.26139

41 3 115 10 0.26139

42 3 115 10 0.26139

43 3 115 10 0.26139

51 3 115 10 0.26139

52 3 115 10 0.26139

53 3 115 10 0.26139

54 3 115 10 0.26139

61 3 115 10 0.26139

62 3 115 10 0.26139
Note: File contains19,969 records and is available on request



### Road Type Distribution

sourceTypeid roadTypeID RoadTypeVMTFraction

11 1 0.00000

11 2 0.00192

11 3 0.08081

11 4 0.42909

11 5 0.48818

21 1 0.00000

21 2 0.00192

21 3 0.08081

21 4 0.42909

21 5 0.48818

31 1 0.00000

31 2 0.00192

31 3 0.08081

31 4 0.42909

31 5 0.48818

32 1 0.00000

32 2 0.00192

32 3 0.08081

32 4 0.42909

32 5 0.48818

41 1 0.00000

41 2 0.00192

41 3 0.08081

41 4 0.42909

41 5 0.48818

42 1 0.00000

### 38 sourceTypeid roadTypeID RoadTypeVMTFraction

42 2 0.00192

42 3 0.08081

42 4 0.42909

42 5 0.48818

43 1 0.00000

43 2 0.00192

43 3 0.08081

43 4 0.42909

43 5 0.48818

51 1 0.00000

51 2 0.00192

51 3 0.08081

51 4 0.42909

51 5 0.48818

52 1 0.00000

52 2 0.00192

52 3 0.08081

52 4 0.42909

52 5 0.48818

53 1 0.00000

53 2 0.00192

53 3 0.08081

53 4 0.42909

53 5 0.48818

54 1 0.00000

54 2 0.00192

54 3 0.08081

54 4 0.42909

Source Type Population

yearID sourceTypeID sourceTypePopulation
2007 11 2256
2007 21 74020
2007 31 39305
2007 32 12921
2007 41 46
2007 42 28
2007 43 455
2007 51 65

### 39 yearID sourceTypeID sourceTypePopulation
2007 52 2434
2007 53 174
2007 54 269
2007 61 1031
2007 62 1142

Vehicle Type VMT – HPMSVtypeYear Worksheet

HPMSVtypeID yearID HPMSBa seYearVMT baseYearOffNetVMT
10 2007 6089363.468 0
20 2007 1131933964 0
30 2007 671602403.6 0
40 2007 10356630.66 0
50 2007 62908806.1 0
60 2007 122846433.9 0

Vehicle Type VMT – Sample HourVMTFraction

sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 2 5 1 0.01000

11 2 5 2 0.00600

11 2 5 3 0.00480

11 2 5 4 0.00450

11 2 5 5 0.00670

11 2 5 6 0.01850

11 2 5 7 0.05011

11 2 5 8 0.07732

11 2 5 9 0.06131

11 2 5 10 0.04821

11 2 5 11 0.04791

11 2 5 12 0.05121

11 2 5 13 0.05361

11 2 5 14 0.05471

11 2 5 15 0.06051

11 2 5 16 0.07271

11 2 5 17 0.08282

11 2 5 18 0.08272

11 2 5 19 0.05891

11 2 5 20 0.04181

11 2 5 21 0.03321

11 2 5 22 0.03031

11 2 5 23 0.02440

### 40 sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 2 5 24 0.01771

11 3 5 1 0.01000

11 3 5 2 0.00600

11 3 5 3 0.00480

11 3 5 4 0.00450

11 3 5 5 0.00670

11 3 5 6 0.01850

11 3 5 7 0.05011

11 3 5 8 0.07730

11 3 5 9 0.06136

11 3 5 10 0.04824

11 3 5 11 0.04791

11 3 5 12 0.05122

11 3 5 13 0.05362

11 3 5 14 0.05472

11 3 5 15 0.06052

11 3 5 16 0.07269

11 3 5 17 0.08276

11 3 5 18 0.08265

11 3 5 19 0.05891

11 3 5 20 0.04181

11 3 5 21 0.03321

11 3 5 22 0.03032

11 3 5 23 0.02442

11 3 5 24 0.01773

11 4 5 1 0.01009

11 4 5 2 0.00609

11 4 5 3 0.00487

11 4 5 4 0.00453

11 4 5 5 0.00671

11 4 5 6 0.01849

11 4 5 7 0.05014

11 4 5 8 0.07698

11 4 5 9 0.06182

11 4 5 10 0.04859

11 4 5 11 0.04805

11 4 5 12 0.05137

11 4 5 13 0.05370

11 4 5 14 0.05482

11 4 5 15 0.06052

### 41 sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 4 5 16 0.07234

11 4 5 17 0.08196

11 4 5 18 0.08177

11 4 5 19 0.05889

11 4 5 20 0.04194

11 4 5 21 0.03329

11 4 5 22 0.03050

11 4 5 23 0.02465

11 4 5 24 0.01789
Note: File contains 1,561 records and is available on request



### Meteorology Data

monthID zoneID HourID temperature relHumidity
7 130210 1 57.417 76.100
7 130210 2 56.317 78.308
7 130210 3 55.308 79.892
7 130210 4 54.308 81.383
7 130210 5 53.467 82.650
7 130210 6 52.692 83.733
7 130210 7 52.117 84.350
7 130210 8 52.833 83.592
7 130210 9 55.942 79.233
7 130210 10 60.933 70.883
7 130210 11 65.750 61.967
7 130210 12 69.800 54.733
7 130210 13 72.967 49.625
7 130210 14 75.108 46.183
7 130210 15 76.467 44.058
7 130210 16 77.117 42.958
7 130210 17 77.017 42.900
7 130210 18 75.733 44.617
7 130210 19 72.508 49.658
7 130210 20 68.200 57.167
7 130210 21 64.433 64.017
7 130210 22 61.942 68.467
7 130210 23 60.175 71.458
7 130210 24 58.633 74.117

### 42 Age Distribution - Sample

sourceTypeID yearID ageID ageFraction
21 2007 0 0.01120
21 2007 1 0.04500
21 2007 2 0.04950
21 2007 3 0.06050
21 2007 4 0.05960
21 2007 5 0.05660
21 2007 6 0.06200
21 2007 7 0.06170
21 2007 8 0.07150
21 2007 9 0.06340
21 2007 10 0.05760
21 2007 11 0.05230
21 2007 12 0.04650
21 2007 13 0.04440
21 2007 14 0.04280
21 2007 15 0.03620
21 2007 16 0.03170
21 2007 17 0.02650
21 2007 18 0.02350
21 2007 19 0.01910
21 2007 20 0.01140
21 2007 21 0.00690
21 2007 22 0.00670
21 2007 23 0.00530
21 2007 24 0.00419
21 2007 25 0.00332
21 2007 26 0.00262
21 2007 27 0.00208
21 2007 28 0.00164
21 2007 29 0.00130
21 2007 30 0.03295
31 2007 0 0.01547
31 2007 1 0.03961
31 2007 2 0.04477
31 2007 3 0.04793
31 2007 4 0.04774
31 2007 5 0.05304
31 2007 6 0.06438
31 2007 7 0.02946
31 2007 8 0.03986
31 2007 9 0.04598
31 2007 10 0.04906

### 43 sourceTypeID yearID ageID ageFraction
31 2007 11 0.04226
31 2007 12 0.03997
31 2007 13 0.05252
31 2007 14 0.05539
31 2007 15 0.05388
31 2007 16 0.04229
31 2007 17 0.05027
31 2007 18 0.04733
31 2007 19 0.04471
31 2007 20 0.03223
31 2007 21 0.02617
31 2007 22 0.02961
31 2007 23 0.00046
31 2007 24 0.00039
31 2007 25 0.00036
31 2007 26 0.00032
31 2007 27 0.00028
31 2007 28 0.00025
31 2007 29 0.00023
31 2007 30 0.00378
Note: File contains 373 records and is available on request44Exhibit 3: 2023 RunSpec<runspec><description><![CDATA[Bibb County 2023 PM2.5 maintenance plan InventoryReadjust HPMS factors based 2006 modelRerun using scripts similar to ARC'sWeight vmt by type by the model vmt by road typeRun#5 - Used Cube scripts - 091211]]></description><modelscale value="Inv"/><modeldomain value="SINGLE"/><geographicselections><geographicselection type="COUNTY" key="13021" description="GEORGIA - Bibb County"/></geographicselections><timespan><year key="2023"/><month id="7"/><day id="5"/><beginhour id="1"/><endhour id="24"/><aggregateBy key="Hour"/></timespan><onroadvehicleselections><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="62" sourcetypename="Combination Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="41" sourcetypename="Intercity Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="42"sourcetypename="Transit Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="11" sourcetypename="Motorcycle"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="43" sourcetypename="School Bus"/>45<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="42" sourcetypename="Transit Bus"/></onroadvehicleselections><offroadvehicleselections></offroadvehicleselections><offroadvehiclesccs></offroadvehiclesccs><roadtypes><roadtype roadtypeid="1" roadtypename="Off-Network"/><roadtype roadtypeid="2" roadtypename="Rural Restricted Access"/><roadtype roadtypeid="3" roadtypename="Rural Unrestricted Access"/><roadtype roadtypeid="4" roadtypename="Urban Restricted Access"/><roadtype roadtypeid="5" roadtypename="Urban Unrestricted Access"/></roadtypes><pollutantprocessassociations><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="15" processname="CrankcaseRunning Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="16" processname="CrankcaseStart Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="17" processname="CrankcaseExtended IdleExhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="90" processname="ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="116" pollutantname="Primary PM2.5 - Brakewear Particulate" processkey="9" processname="Brakewear"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="1" processname="Running Exhaust"/>46<pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="17" processname="Crankcase ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="117" pollutantname="Primary PM2.5 - Tirewear Particulate" processkey="10" processname="Tirewear"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="15" processname="Crankcase Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="17" processname="Crankcase Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="90" processname="ExtendedIdle Exhaust"/></pollutantprocessassociations><databaseselections><databaseselection servername="" databasename="bibb_2023_pm_inventory_input5" description=""/></databaseselections><internalcontrolstrategies><internalcontrolstrategy classname="gov.epa.otaq.moves.master.implementation.ghg.internalcontrolstrategies.rateofprogress.RateOfProgressStrategy"><![CDATA[useParameters No]]></internalcontrolstrategy></internalcontrolstrategies><inputdatabase servername="" databasename="" description=""/><uncertaintyparameters uncertaintymodeenabled="false" numberofrunspersimulation="0" numberofsimulations="0"/><geographicoutputdetail description="NATION"/><outputemissionsbreakdownselection><modelyear selected="false"/>47<fueltype selected="false"/><emissionprocess selected="true"/><onroadoffroad selected="true"/><roadtype selected="true"/><sourceusetype selected="false"/><movesvehicletype selected="false"/><onroadscc selected="false"/><offroadscc selected="false"/><estimateuncertainty selected="false" numberOfIterations="2" keepSampledData="false" keepIterations="false"/><sector selected="false"/><engtechid selected="false"/><hpclass selected="false"/></outputemissionsbreakdownselection><outputdatabase servername="" databasename="bibb_2023_pm_inventory_output5" description=""/><outputtimestep value="Hour"/><outputvmtdata value="true"/><outputsho value="false"/><outputsh value="false"/><outputshp value="false"/><outputshidling value="false"/><outputstarts value="false"/><outputpopulation value="true"/><scaleinputdatabase servername="localhost" databasename="bibb_2023_pm_inventory_input5" description=""/><pmsize value="0"/><outputfactors><timefactors selected="true" units="Hours"/><distancefactors selected="true" units="Miles"/><massfactors selected="true" units="Grams" energyunits="Joules"/></outputfactors><savedata></savedata><donotexecute></donotexecute><generatordatabase shouldsave="false" servername="" databasename="" description=""/><donotperformfinalaggregation selected="false"/><lookuptableflags scenarioid="bibb_2023" truncateoutput="false" truncateactivity="false"/></runspec>

### 48 

## Exhibit 4: MOVES Input Data for Bibb County Emissions for PM2.5 SIP Budget – 2023

Ramp Fraction

roadTypeID RampFraction

2 0

4 0.0800

Sample Average Speed Distribution

sourceTypeid roadTypeID hourDayID AvgSpeedBinID AvgSpeedFraction

11 3 15 8 0.23614

21 3 15 8 0.23614

31 3 15 8 0.23614

32 3 15 8 0.23614

41 3 15 8 0.23614

42 3 15 8 0.23614

43 3 15 8 0.23614

51 3 15 8 0.23614

52 3 15 8 0.23614

53 3 15 8 0.23614

54 3 15 8 0.23614

61 3 15 8 0.23614

62 3 15 8 0.23614

11 3 15 9 0.30415

21 3 15 9 0.30415

31 3 15 9 0.30415

32 3 15 9 0.30415

41 3 15 9 0.30415

42 3 15 9 0.30415

43 3 15 9 0.30415

51 3 15 9 0.30415

52 3 15 9 0.30415

53 3 15 9 0.30415

54 3 15 9 0.30415

61 3 15 9 0.30415

62 3 15 9 0.30415

11 3 15 10 0.14167

21 3 15 10 0.14167

31 3 15 10 0.14167

32 3 15 10 0.14167

41 3 15 10 0.14167

### 49 sourceTypeid roadTypeID hourDayID AvgSpeedBinID AvgSpeedFraction

42 3 15 10 0.14167

43 3 15 10 0.14167

51 3 15 10 0.14167

52 3 15 10 0.14167

53 3 15 10 0.14167

54 3 15 10 0.14167

61 3 15 10 0.14167

62 3 15 10 0.14167
Note: File contains19,969 records and is available on request



### Road Type Distribution

sourceTypeid roadTypeID RoadTypeVMTFraction

11 1 0.00000

11 2 0.00216

11 3 0.08445

11 4 0.47367

11 5 0.43971

21 1 0.00000

21 2 0.00216

21 3 0.08445

21 4 0.47367

21 5 0.43971

31 1 0.00000

31 2 0.00216

31 3 0.08445

31 4 0.47367

31 5 0.43971

32 1 0.00000

32 2 0.00216

32 3 0.08445

32 4 0.47367

32 5 0.43971

41 1 0.00000

41 2 0.00216

41 3 0.08445

41 4 0.47367

41 5 0.43971

42 1 0.00000

42 2 0.00216

42 3 0.08445

42 4 0.47367

### 50 sourceTypeid roadTypeID RoadTypeVMTFraction

42 5 0.43971

43 1 0.00000

43 2 0.00216

43 3 0.08445

43 4 0.47367

43 5 0.43971

51 1 0.00000

51 2 0.00216

51 3 0.08445

51 4 0.47367

51 5 0.43971

52 1 0.00000

52 2 0.00216

52 3 0.08445

52 4 0.47367

52 5 0.43971

53 1 0.00000

53 2 0.00216

53 3 0.08445

53 4 0.47367

53 5 0.43971

54 1 0.00000

54 2 0.00216

54 3 0.08445

54 4 0.47367

54 5 0.43971

61 1 0.00000

61 2 0.00216

61 3 0.08445

61 4 0.47367

61 5 0.43971

62 1 0.00000

62 2 0.00216

62 3 0.08445

62 4 0.47367

62 5 0.43971

### 51 Source Type Population

yearID sourceTypeID sourceTypePopulation
2023 11 2347
2023 21 76988
2023 31 40881
2023 32 13439
2023 41 48
2023 42 29
2023 43 474
2023 51 68
2023 52 2531
2023 53 181
2023 54 279
2023 61 1073
2023 62 1454

Vehicle Type VMT – HPMSVtypeYear Worksheet

HPMSVtypeID yearID HPMSBa seYearVMT baseYearOffNetVMT 10 2023 7,569,538.22 0.00 20 2023 1,442,340,512.78 0.00 30 2023 774,433,109.86 0.00 40 2023 13,120,109.04 0.00 50 2023 78,086,337.55 0.00 60 2023 161,836,266.26 0.00

Vehicle Type VMT – Sample HourVMTFraction

sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 2 5 1 0.01004

11 2 5 2 0.00603

11 2 5 3 0.00479

11 2 5 4 0.00437

11 2 5 5 0.00653

11 2 5 6 0.01834

11 2 5 7 0.05030

11 2 5 8 0.07686

11 2 5 9 0.06306

11 2 5 10 0.04921

11 2 5 11 0.04817

11 2 5 12 0.05165

11 2 5 13 0.05390

### 52 sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 2 5 14 0.05509

11 2 5 15 0.06063

11 2 5 16 0.07190

11 2 5 17 0.08080

11 2 5 18 0.08035

11 2 5 19 0.05882

11 2 5 20 0.04202

11 2 5 21 0.03327

11 2 5 22 0.03073

11 2 5 23 0.02499

11 2 5 24 0.01815

11 3 5 1 0.01002

11 3 5 2 0.00601

11 3 5 3 0.00481

11 3 5 4 0.00449

11 3 5 5 0.00668

11 3 5 6 0.01848

11 3 5 7 0.05013

11 3 5 8 0.07720

11 3 5 9 0.06154

11 3 5 10 0.04837

11 3 5 11 0.04797

11 3 5 12 0.05128

11 3 5 13 0.05365

11 3 5 14 0.05477

11 3 5 15 0.06053

11 3 5 16 0.07258

11 3 5 17 0.08249

11 3 5 18 0.08235

11 3 5 19 0.05891

11 3 5 20 0.04186

11 3 5 21 0.03323

11 3 5 22 0.03038

11 3 5 23 0.02450

11 3 5 24 0.01777

11 4 5 1 0.01005

11 4 5 2 0.00604

11 4 5 3 0.00482

11 4 5 4 0.00447

11 4 5 5 0.00665

### 53 sourceTypeid roadTypeID dayID hourID HourVMTFraction

11 4 5 6 0.01845

11 4 5 7 0.05016

11 4 5 8 0.07702

11 4 5 9 0.06196

11 4 5 10 0.04865

11 4 5 11 0.04806

11 4 5 12 0.05141

11 4 5 13 0.05373

11 4 5 14 0.05486

11 4 5 15 0.06055

11 4 5 16 0.07233

11 4 5 17 0.08190

11 4 5 18 0.08169

11 4 5 19 0.05890

11 4 5 20 0.04194

11 4 5 21 0.03327

11 4 5 22 0.03050

11 4 5 23 0.02466

11 4 5 24 0.01793
Note: File contains 1,561 records and is available on request



### Meteorology Data

monthID zoneID HourID temperature relHumidity
7 130210 1 57.417 76.100
7 130210 2 56.317 78.308
7 130210 3 55.308 79.892
7 130210 4 54.308 81.383
7 130210 5 53.467 82.650
7 130210 6 52.692 83.733
7 130210 7 52.117 84.350
7 130210 8 52.833 83.592
7 130210 9 55.942 79.233
7 130210 10 60.933 70.883
7 130210 11 65.750 61.967
7 130210 12 69.800 54.733
7 130210 13 72.967 49.625
7 130210 14 75.108 46.183
7 130210 15 76.467 44.058
7 130210 16 77.117 42.958
7 130210 17 77.017 42.900
7 130210 18 75.733 44.617
7 130210 19 72.508 49.658

### 54 monthID zoneID HourID temperature relHumidity
7 130210 20 68.200 57.167
7 130210 21 64.433 64.017
7 130210 22 61.942 68.467
7 130210 23 60.175 71.458
7 130210 24 58.633 74.117

Age Distribution - Sample

sourceTypeID yearID ageID ageFraction
21 2023 0 0.01120
21 2023 1 0.04500
21 2023 2 0.04950
21 2023 3 0.06050
21 2023 4 0.05960
21 2023 5 0.05660
21 2023 6 0.06200
21 2023 7 0.06170
21 2023 8 0.07150
21 2023 9 0.06340
21 2023 10 0.05760
21 2023 11 0.05230
21 2023 12 0.04650
21 2023 13 0.04440
21 2023 14 0.04280
21 2023 15 0.03620
21 2023 16 0.03170
21 2023 17 0.02650
21 2023 18 0.02350
21 2023 19 0.01910
21 2023 20 0.01140
21 2023 21 0.00690
21 2023 22 0.00670
21 2023 23 0.00530
21 2023 24 0.00419
21 2023 25 0.00332
21 2023 26 0.00262
21 2023 27 0.00208
21 2023 28 0.00164
21 2023 29 0.00130
21 2023 30 0.03295
31 2023 0 0.01547
31 2023 1 0.03961
31 2023 2 0.04477
31 2023 3 0.04793

### 55 sourceTypeID yearID ageID ageFraction
31 2023 4 0.04774
31 2023 5 0.05304
31 2023 6 0.06438
31 2023 7 0.02946
31 2023 8 0.03986
31 2023 9 0.04598
31 2023 10 0.04906
31 2023 11 0.04226
31 2023 12 0.03997
31 2023 13 0.05252
31 2023 14 0.05539
31 2023 15 0.05388
31 2023 16 0.04229
31 2023 17 0.05027
31 2023 18 0.04733
31 2023 19 0.04471
31 2023 20 0.03223
31 2023 21 0.02617
31 2023 22 0.02961
31 2023 23 0.00046
31 2023 24 0.00039
31 2023 25 0.00036
31 2023 26 0.00032
31 2023 27 0.00028
31 2023 28 0.00025
31 2023 29 0.00023
31 2023 30 0.00378
Note: File contains 373 records and is available on request

### 56 

## Exhibit 5: Vehicle Classification Counts

Weekday vehicle classification counts from GDOT were obtained for the years 2008 through 2010 for the entire state of Georgia. The counts for the 13 county nona ttainment Atlanta MPO area were eliminated from the
calculations. The vehicle classification counts collected were stratified based on the FHWA vehicle
classifications. The counts were then summarized into the 6 HPMS vehicle type categories based the FHWA vehicle classifications. The percent by vehicle type by road type based on functional classification was calculated by year and then averaged for the three years. Table1 list the counts by year

. Table 2 lists the final factors for VMT by vehicle type by road type ba sed on the counts. These values we re used to weight the VMT from the travel demand model by road type by vehicle type for input into AADVMT worksheet..57Table 1GDOT Vehicle Classification Counts2008StatewideminusARC13CountyMPOAreaRuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)RuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)10 Motorcycles Class1 415,477 276,557 703,762 273,810 0.3% 0.4% 0.3% 0.3%20 PassengerCars Class2 78,146,859 45,813,738 134,370,835 70,721,022 55.0% 64.5% 65.4% 74.5%30 Other2axle‐4tirevehicles Class3 23,048,320 16,181,222 37,536,241 19,040,830 16.2% 22.8% 18.3% 20.1%40 Buses Class4 1,348,962 412,115 1,464,298 372,563 0.9% 0.6% 0.7% 0.4%50 SingleUnitTrucks Class5‐7 5,177,758 3,054,596 6,643,091 2,735,728 3.6% 4.3% 3.2% 2.9%60 CombinationTrucks Class8‐13 33,983,937 5,320,479 24,746,197 1,724,995 23.9% 7.5% 12.0% 1.8%142,121,313 71,058,707 205,464,424 94,868,948 100% 100% 100% 100%2009StatewideminusARC13CountyMPOAreaRuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)RuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)10 Motorcycles Class1 543,569 380,461 552,296 334,712 0.3% 0.3% 0.3% 0.3%20 PassengerCars Class2 99,860,922 74,033,369 123,617,071 92,974,090 57.6% 65.0% 66.5% 73.4%30 Other2axle‐4tirevehicles Class3 29,013,174 25,257,242 35,153,989 26,580,997 16.7% 22.2% 18.9% 21.0%40 Buses Class4 1,445,231 636,498 1,260,763 480,718 0.8% 0.6% 0.7% 0.4%50 SingleUnitTrucks Class5‐7 5,931,816 4,577,695 5,977,298 3,774,967 3.4% 4.0% 3.2% 3.0%60 CombinationTrucks Class8‐13 36,572,792 9,058,107 19,363,526 2,566,080 21.1% 7.9% 10.4% 2.0%173,367,504 113,943,372 185,924,943 126,711,564 100% 100% 100% 100%Code HPMSVehicleTypeFHWAVehClassWeekdayCounts PercentbyRoadTypeWeekdayCounts PercentbyRoadTypeCode HPMSVehicleTypeFHWAVehClass58Table 1GDOT Vehicle Classification Counts (continued)2010StatewideminusARC13CountyMPOAreaRuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)RuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)10 Motorcycles Class1 531,781 465,637 767,240 413,477 0.3% 0.3% 0.3% 0.3%20 PassengerCars Class2 115,785,383 90,783,273 163,511,794 103,655,999 58.1% 64.4% 68.1% 73.3%30 Other2axle‐4tirevehicles Class3 33,029,619 31,077,060 45,607,435 29,985,205 16.6% 22.1% 19.0% 21.2%40 Buses Class4 1,648,242 837,435 1,403,597 520,635 0.8% 0.6% 0.6% 0.4%50 SingleUnitTrucks Class5‐7 6,527,272 5,527,587 7,477,099 4,162,187 3.3% 3.9% 3.1% 2.9%60 CombinationTrucks Class8‐13 41,728,831 12,222,357 21,492,738 2,746,397 20.9% 8.7% 8.9% 1.9%Total 199,251,128 140,913,349 240,259,903 141,483,900 100% 100% 100% 100%2008‐2010StatewideminusARC13CountyMPOAreaSummaryRuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)RuralRestrictedAccess(FC=1)RuralUnrestrictedAccess(FC=2‐7)UrbanRestrictedAccess(FC=11‐12)UrbanUnrestrictedAccess(FC=14‐19)10 Motorcycles Class1 1,490,827 1,122,655 2,023,298 1,021,999 0.3% 0.3% 0.2% 0.2%20 PassengerCars Class2 293,793,164 210,630,380 421,499,700 267,351,111 57.7% 67.7% 73.5% 76.6%30 Other2axle‐4tirevehicles Class3 85,091,113 72,515,524 118,297,665 75,607,032 16.7% 20.7% 16.5% 18.6%40 Buses Class4 4,442,435 1,886,048 4,128,658 1,373,916 0.9% 0.6% 0.7% 0.5%50 SingleUnitTrucks Class5‐7 17,636,846 13,159,878 20,097,488 10,672,882 3.4% 3.8% 3.0% 2.7%60 CombinationTrucks Class8‐13 112,285,560 26,600,943 65,602,461 7,037,472 21.0% 6.9% 6.2% 1.4%Total 514,739,945 325,915,428 631,649,270 363,064,412 100% 100% 100% 100%Code HPMSVehicleTypeFHWAVehClassWeekdayCounts PercentbyRoadTypeCode HPMSVehicleTypeFHWAVehClassWeekdayCounts PercentbyRoadType

### 59 Table 2 Final Factors for VMT by Vehicle Type by Road Type

Code HPMS Vehicle Type FHWA
Veh
Class Rural
Restricted
Access
Factor Rural Unrestricted
Access
Factor Urban
Restricted
Access
Factor Urban Unrestricte
d Access

Factor 10 Motorcycles Class 1 0.002909 0.003512 0.003196 0.002817 20 Passenger Cars Class 2 0.568990 0.646239 0.666475 0.737280

30 Other 2 axle-4 tire
vehicles Class 3 0.165098 0.223307 0.187197 0.207472

40 Buses Class 4 0.008700 0.005776 0.006583 0.003800

50 Single Unit Trucks Class 5-
7 0.034469 0.040796 0.031867 0.029349

60 Combination Trucks Class 8-
13 0.219834 0.080369 0.104681 0.019282

Total 1.000000 1.000000 1.000000 1.000000

Since the vehicle classification counts are coll ected using counters that do not adequately distinguish between passenger cars and SUVs, the MOVES defaults for vehicle types 20 and 30 by road type were used to redistribute the VMT. The MOVES Defaults are listed in Table 3.



### Table 3
MOVES Defaults Percent VMT by Vehicle Type

Vehicle Type

Year 10 20 30 40 50 60

1999 0.00390 0.58310 0.33480 0.00280 0.02610 0.04920

2000 0.00380 0.58250 0.33600 0.00280 0.02570 0.04920

2001 0.00340 0.58240 0.33740 0.00250 0.02590 0.04850

2002 0.00330 0.58110 0.33850 0.00240 0.02660 0.04820

2003 0.00330 0.57880 0.34060 0.00230 0.02690 0.04810

2004 0.00340 0.57260 0.34600 0.00220 0.02730 0.04850

2005 0.00360 0.57060 0.34770 0.00220 0.02710 0.04870

2006 0.00400 0.55990 0.35850 0.00220 0.02750 0.04780

2007 0.00450 0.55070 0.36630 0.00220 0.02790 0.04840

2008 0.00510 0.54610 0.36980 0.00230 0.02870 0.04800

2009 0.00530 0.54760 0.37480 0.00210 0.02660 0.04370

2010 0.00530 0.54360 0.37770 0.00220 0.02770 0.04350

2011 0.00530 0.53940 0.37830 0.00240 0.02970 0.04500

2012 0.00530 0.53700 0.37740 0.00250 0.03140 0.04640

### 60 Vehicle Type

Year 10 20 30 40 50 60

2013 0.00520 0.53640 0.37610 0.00260 0.03240 0.04730

2014 0.00520 0.53780 0.37370 0.00260 0.03310 0.04760

2015 0.00511 0.54185 0.36926 0.00266 0.03358 0.04754

2016 0.00505 0.54655 0.36414 0.00270 0.03413 0.04743

2017 0.00500 0.55148 0.35868 0.00274 0.03465 0.04744

2018 0.00495 0.55719 0.35240 0.00278 0.03509 0.04759

2019 0.00490 0.56346 0.34559 0.00281 0.03548 0.04777

2020 0.00484 0.57033 0.33840 0.00283 0.03581 0.04779

2021 0.00479 0.57743 0.33138 0.00285 0.03599 0.04755

2022 0.00475 0.58459 0.32444 0.00286 0.03613 0.04723

2023 0.00471 0.59142 0.31755 0.00288 0.03639 0.04705

2024 0.00466 0.59782 0.31089 0.00291 0.03674 0.04698

2025 0.00462 0.60374 0.30470 0.00294 0.03709 0.04692

2026 0.00458 0.60921 0.29896 0.00296 0.03745 0.04684

2027 0.00455 0.61410 0.29377 0.00300 0.03784 0.04674

2028 0.00452 0.61852 0.28903 0.00303 0.03828 0.04662

2029 0.00450 0.62265 0.28449 0.00307 0.03876 0.04652

2030 0.00448 0.62625 0.28038 0.00311 0.03930 0.04648

2031 0.00444 0.62984 0.27688 0.00313 0.03959 0.04611

2032 0.00440 0.63303 0.27380 0.00316 0.03987 0.04574

2033 0.00436 0.63573 0.27104 0.00319 0.04023 0.04545

2034 0.00432 0.63812 0.26857 0.00321 0.04058 0.04519

2035 0.00429 0.64015 0.26636 0.00324 0.04096 0.04501

2036 0.00425 0.64184 0.26447 0.00327 0.04134 0.04483

2037 0.00421 0.64323 0.26287 0.00330 0.04173 0.04465

2038 0.00418 0.64417 0.26173 0.00333 0.04211 0.04447

2039 0.00414 0.64476 0.26096 0.00336 0.04249 0.04428

2040 0.00411 0.64532 0.26017 0.00340 0.04289 0.04411

2041 0.00407 0.64586 0.25937 0.00343 0.04331 0.04396

2042 0.00404 0.64630 0.25864 0.00346 0.04374 0.04381

2043 0.00401 0.64666 0.25799 0.00350 0.04418 0.04366

2044 0.00398 0.64693 0.25741 0.00353 0.04462 0.04352

2045 0.00395 0.64711 0.25692 0.00357 0.04507 0.04338

2046 0.00392 0.64719 0.25653 0.00360 0.04552 0.04324

2047 0.00389 0.64720 0.25620 0.00364 0.04598 0.04310

2048 0.00386 0.64715 0.25593 0.00368 0.04643 0.04295

2049 0.00383 0.64704 0.25572 0.00371 0.04690 0.04281

2050 0.00380 0.64689 0.25554 0.00375 0.04736 0.04266

### 61 

## Exhibit 5: Vehicle Registration Data

Georgia's Revised Registra tion Distribution by Age

Overview

R.L. Polk & Co. (Polk) maintains databa ses encompassing all registered vehicles in operation by state. Polk acquires the source registration data from the states and then processes and enha nces the data. Key data elements Polk used for grouping vehicle registered in Georgia by their appropriate composite (i.e., gasoline and diesel) vehicle types were: vehicle make, vehicle model, engine make, engine model, fuel type, cab type, bed length, wheel configuration, vehicle type, gross vehicle weight rating (GVWR) 6 

### class, model year, and registration geography (i.e., county).

Vehicle characteristic data elements used by Polk are derived from the unique 17 position vehicle identification number (VIN) assigned to every vehicle. Vehicle geography is assigned based on the regist ration address linked to each VIN.

In order to assign a MOBILE6 category to all registered vehicles, Polk
constructed a master vehicle workfile us ing data from Polk’s TIPNet and NVPP
databases. This master vehicle workf ile accounts for all registered vehicles, including: cars, vans, sport utility ve hicles, trucks, buses, school buses, and motorcycles (GVWR classes 1-8 + moto rcycle). The GV WR classes are:

Class 1 0 - 6,000 lbs. Class 2 6,001 - 10,000 lbs. Class 3 10,001 - 14,000 lbs. Class 4 14,001 - 16,000 lbs. Class 5 16,001 - 19,500 lbs. Class 6 19,501 - 26,000 lbs. Class 7 26,001 - 33,000 lbs. Class 8 33,001 - 150,000 lbs.

The TIPNet database contains vehicles from full-size pickups/vans through class 8 (GVWR classes 1c-8), and is structured to serve the commercial vehicle market. The
NVPP database contains vehi cles GVWR classes 1-3 and is designed to serve the car, light truck/van, and motorc ycle aftermarket.

6 The GVWR is the maximum weight of the vehicle when it is fully loaded , as specified by the
manufacturer.

### 62 Using the data elements listed above, Polk assigned one of the 16 MOBILE6 categories to each of the vehicles in the wo rkfile. Care was taken to assure that no makes and models are duplicated between the two databases. Note that the unit
volume for same make/model vehicles can be divided among two or more MOBILE6 categories due to varying vehicle types and GVWR classes within a specific make/model. TIPNet data supplies GVWR classes 1c-8 (full-size pickups/vans & heavier), while NVPP data prov ides passenger car, motorcyc le, light truck, and light
vans from GVWR class 1.

The 16 composite MOBILE6 vehicle types are listed and defined below, with examples of the types of vehicles they include.

Number Abbreviation Description 1 LDV Light-Duty (LD) Vehicles (Passenger Cars)

- Class 1 GVWR

- Include: Passenger Cars

- Fuel: All Types

- Source: R.L. Polk NVPP as of October 2002

2 LDT1 LD Trucks 1 (0-6,000 lb s. GVWR, 0- 3,750 lbs.
LVW 7 

### )

- Class 1 GVWR

- Trucks, SUVs, & Vans

- Exclude Full-Size Pickups & Vans

- Fuel: All Types

- Source: R.L. Polk NVPP as of October 2002

3 LDT2 LD Trucks 2 (0-6,000 lbs. GVWR, 3,751-5,750 lbs. LVW)

- Class 1 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Include all Full-Size Pickups & Vans (e.g. 150/1500 series vehicles: F150, C/K 1500, E150, Ram 1500 etc.)

- Include Vehicle Types: Inco mplete Pickup + Cab Chassis

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003 & NVPP as of October 2002

4 LDT3 LD Trucks 3 (6,001-8,500 lbs. GVWR, 0-5,750 lbs. ALVW 8 

### )

- Class 2 GVWR

- Trucks, SUVs, & Vans

- GVWR: 6,001-8,000 for Ford, Chevy, Dodge, plus all Toyota Tundra
Models

7 Loaded vehicle weight, the weight of vehicle sitting empty (curb weight) plus 300 pounds.

8 Adjusted loaded vehicle weight, average of th e gross vehicle weight and the curb weight.

### 63 Number Abbreviation Description

- Fuel: All Types

- Exclude: Pickups with Long Bed or Vans with Extended Length (Except Tundra)

- Exclude Vehicle Types: Incomplete Pickup + Cab Chassis + Incomplete Vehicle + Straight Truck + School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003 & NVPP as of October 2002

5 LDT4 Light-Duty Trucks 4 (6,001-8,500 lbs. GVWR, >5,750 lbs. ALVW)

- Class 2 GVWR

- Trucks, SUVs, & Vans

- GVWR: 6,001-8,000 for Ford, Chevy, & Dodge

- Exclude: all Toyota Tundra Models

- Fuel: All Types

- Include: Pickups with Long Bed or Vans with Extended Length

- Include Vehicle Types: Incomplete Pickup + Cab Chassis + Incomplete Vehicle + Straight Truck

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

6 HDV2B Class 2b Heavy-Duty Vehicles (8,501-10,000 lbs. GVWR)

- Class 2 GVWR

- Trucks, SUVs, & Vans

- GVWR: 8,001-10,000 for Ford, Chevy, & Dodge

- Exclude: All Toyota Tundra Models

- Fuel: All Types

- Include: Pickups with Long Bed or Vans with Extended Length

- Include Vehicle Types: Incomplete Pickup + Cab Chassis + Incomplete Vehicle + Straight Truck

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

7 HDV3 Class 3 Heavy-Duty Vehicles (10,001-14,000 lbs. GVWR)

- Class 3 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

### 64 Number Abbreviation Description

8 HDV4 Class 4 Heavy-Duty Vehicles (14,001-16,000 lbs. GVWR)

- Class 4 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

9 HDV5 Class 5 Heavy-Duty Gasoline Vehicles (16,001-19,500 lbs. GVWR)

- Class 5 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

10 HDV6 Class 6 Heavy-Duty Vehicles (19,501-26,000 lbs. GVWR)

- Class 6 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

11 HDV7 Class 7 Heavy-Duty Vehicles (26,001-33,000 lbs. GVWR)

- Class 7 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Source: R.L. Polk TIPNet as of March 2003

12 HDV8A Class 8a Heavy-Duty Vehicles (33,001-60,000 lbs. GVWR)

- Class 8 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: School Bus + Bus Non-School (Coach)

- Include Vehicle Types: 4x2 Non-Tractor Vehicles + All Tractors + Motor
Home Chassis

- Source: R.L. Polk TIPNet as of March 2003

### 65 13 HDV8B Class 8b Heavy-Duty Vehicles (>60,000 lbs. GVWR)

- Class 8 GVWR

- Trucks, SUVs, & Vans

- Fuel: All Types

- Exclude Vehicle Types: All Tracto rs + School Bus + Bus Non-School (Coach)

- Exclude Wheels: 4x2

- Source: R.L. Polk TIPNet as of March 2003

14 HDBS School Buses

- Include Vehicle Type: School Bus

- Fuel: All Types

- Source: R.L. Polk TIPNet as of March 2003

Number Abbreviation Description

15 HDBT Transit & Urban Buses

- Include Vehicle Type: Bus Non-School (Coach)

- Fuel: All Types

- Source: R.L. Polk TIPNet as of March 2003

16 MC Motorcycles (All)

- Fuel: All Types

- Source: R.L. Polk NVPP as of October 2002

The data acquired from Polk was queried to determine the number of vehicles registered in the Macon-Floyd metropolitan st atistical area by age and vehicle type. Results of this query were used to deve lop Registration distribution by age inputs. For each of the 16 composite vehicle types, th e fraction of all vehicles of that type which are zero-to-one model year old, tw o model years old, three model years old, etc., up to the oldest category, 25-model- years-and-older, was determined. The resulting input data is shown on the following two pages. Note that the Polk-derived distribution for Class 8b vehicles (vehicle type 13) is commented out; in accordance with EPA guidance, defaults were used for this vehicle type.

### 66 

## Exhibit 6: Source Type Population Input Data Preparation

1) Date sources 2002-2003 Polk’s data: Registration data from R. L. Polk & Co.'s National Vehicle Population Profile ® (current as of October 2002) and R. L. Polk & Co.'s TIPNet ® (current as of March 2003)
are used. This database includes number of vehi cles by age and 16 vehicle types in each Georgia county, and has been used to develop age distribution.

Georgia registration data (2003 and 2007): These registration data were obtained from www.georgiastats.uga.edu. This database includes number of vehicles by passenger vehicles, trucks, trailers, motorcycles, buses and others in each county as explai ned on the Georgia Department of Revenue website (http://motor.eta x.dor.ga.gov/stats/renewalsstats.aspx) . Passenger Vehicles include Ambulances, Convertibles, Coupes, Hearses, Jeep s, Limousines, Mixers, Motor Homes, MultiPurpose Vehicles, Roadsters, Station Wagons, Touri ng Cars, Vans, 2 Doors, 3 Doors, and 4 Doors. Trucks include Truck Tractors, Trucks, and Wreckers.

2) Methodology The Polk’s data were summarized by 16 vehicles t ypes in each county and then grown to 2007 using different growth factors by vehicl e types (Table 1). The number of HDBS, HDBT and MC in Polk’s data is comparable to Georgia registration data (T able 2 and Table 3). Therefore, the numbers of HDBS and HDBT were grown to 2007 by multiplying ratio s of the number of buses in Georgia motor vehicle registration data in 2007 and 2003. The number of MC was grown to 2007 by multiplying ratios of the number of motor cycles in Georgi a motor vehicle registrati on data in 2007 and 2003. The number of the rest of vehicle types was gr own to 2007 by multiplying ratios of human population in 2007 and 2002. The Georgia motor vehicle registrati on data were not used for these vehicle types due to the difficulty to match the vehicle type used in Georgia motor vehicle re gistration data to the 16 vehicle types as used in the Polk's data. Since the ratios of 2007 a nd 2003 passenger cars and trucks in motor vehicle registrati on data are comparable to the rati os of population data (Table 4), population data were used as the growth indicator.

Table 1. List of different growth factors used by vehicle types Vehicle types Growth factor HDBS Georgia registration dat a (2003 and 2007), Buses HDBT Georgia registration dat a (2003 and 2007), Buses HDV2B Population 2002 and 2007 HDV3 Population 2002 and 2007 HDV4 Population 2002 and 2007 HDV5 Population 2002 and 2007 HDV6 Population 2002 and 2007 HDV7 Population 2002 and 2007 HDV8A Population 2002 and 2007 HDV8B Population 2002 and 2007 LDT1 Population 2002 and 2007 LDT2 Population 2002 and 2007 LDT3 Population 2002 and 2007 LDT4 Population 2002 and 2007 LDV Population 2002 and 2007

### 67 MC Georgia registration data (2003 and 2007), Motor cycles

Table 2. Summary of 2002-2003 Polk’s data by 16 mobile vehicle types in four Georgia regions

Vehicle types ATL13 ATL7 GAGAS GAOTHER Total HDBS 7,854 1,333 2,032 8,221 19,440
HDBT 1,362 102 139 540 2,143 HDV2B 56,809 11,761 15,405 49,039 133,014 HDV3 27,628 5,996 7,822 23,797 65,243 HDV4 13,623 2,262 2,850 10,351 29,086 HDV5 6,005 1,162 1,550 5,577 14,294 HDV6 19,294 4,088 5,932 21,688 51,002 HDV7 16,380 2,528 3,838 15,309 38,055 HDV8A 37,555 4,307 6,619 31,883 80,364 HDV8B 14,449 2,201 3,061 10,926 30,637 LDT1 722,044 131,873 181,393 607,189 1,642,499 LDT2 95,101 28,933 37,692 156,187 317,913 LDT3 302,139 62,530 75,409 284,851 724,929 LDT4 43,616 8,019 9,721 39,432 100,788
LDV 1,723,769 255,647 346,907 1,383,696 3,710,019 MC 50,081 10,657 13,767 41,123 115,628

Table 3. Summary of 2003 Georgia registration data by 4 mobile vehicle types Vehicle types ATL13 ATL7 GAGAS GAOTHER Total
Buses 10,676 1,559 2,434 9,797 21,237
Trucks 558,496 168,930 237,022 823,867 1,788,315 Passenger Cars 2,259,027 339,456 449,177 1,744,474 4,792,134 Motorcycles 46,836 10,203 13,124 38,561 108,724

Table 4. Comparison between different growth factors
Ratios 2002 2003 2007 2007/2002 2007/2003 Motor vehicle registration Passenger Car 4,792,134 5,330,256 1.112 Trucks 1,788,315 1,952,470 1.092 Motor Cycle 108,724 174,617 1.606 Bus 21,237 35,124 1.654 Population in Georgia, U.S. Census Population 8,585,535 8,735,25 9 9,533,761 1.110 1.091 Total Average Annual Daily VMT in Georgia, Georgia DOT 445 report, miles VMT 292,562,380 296,810,994 305,327,543 1.044 1.029 MOVES national SALESGROWTH factor defaults Motorcycle 1.383 1.311 Passenger Car 0.940 1.001 Passenger Truck 0.972 0.948 Light Commercial Truck 0.972 0.948 Intercity Bus 1.353 1.268
Transit Bus 1.353 1.268 School Bus 1.353 1.268
Refuse Truck 1.353 1.268 Single Unit Short-haul Truck 1.353 1.268 Single Unit Long-haul Truck 1.353 1.268
Motor Home 1.353 1.268 Combination Short-haul Truck 1.464 1.405 Combination Long-haul Truck 1.464 1.405

### 68 The projected 2007 vehicle population by 16 vehicle types in each count y were then converted to 32 vehicles types, which were matched with 28 vehi cle types and 12 vehicle types (corresponding to 12 SCC codes) as shown in the EPA MOVES converter tool. The EPA MOVES c onverter tool was also used to convert vehicle population in MOVES form at by each of the four reference counties. These populations are the sum of popula tions of all counties sharing the same reference counties.69Exhibit 7: 2007 RunSpec for Monroe County<runspec><description><![CDATA[Monroe County 2007 PM2.5 maintenance plan lookupsUsing HPMS vmt factored by road typeDefaults for average speed distribution and vmt by hourRun #3 - Use 2007 yearly average meterology data - 090911Run#4 - Revised vmtby type using HPMS data in spreadsheet - 090911- LookupsRun for SO2 in inventory mode]]></description><modelscale value="Inv"/><modeldomain value="SINGLE"/><geographicselections><geographicselection type="COUNTY" key="13207" description="GEORGIA - Monroe County"/></geographicselections><timespan><year key="2007"/><month id="7"/><day id="5"/><beginhour id="1"/><endhour id="24"/><aggregateBy key="Hour"/></timespan><onroadvehicleselections><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="62" sourcetypename="Combination Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="41" sourcetypename="Intercity Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="42"sourcetypename="Transit Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="11" sourcetypename="Motorcycle"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="43" sourcetypename="School Bus"/>70<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="42" sourcetypename="Transit Bus"/></onroadvehicleselections><offroadvehicleselections></offroadvehicleselections><offroadvehiclesccs></offroadvehiclesccs><roadtypes><roadtype roadtypeid="1" roadtypename="Off-Network"/><roadtype roadtypeid="2" roadtypename="Rural Restricted Access"/><roadtype roadtypeid="3" roadtypename="Rural Unrestricted Access"/><roadtype roadtypeid="4" roadtypename="Urban Restricted Access"/><roadtype roadtypeid="5" roadtypename="Urban Unrestricted Access"/></roadtypes><pollutantprocessassociations><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="15" processname="CrankcaseRunning Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="16" processname="CrankcaseStart Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="17" processname="CrankcaseExtended IdleExhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="90" processname="ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="116" pollutantname="Primary PM2.5 - Brakewear Particulate" processkey="9" processname="Brakewear"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="1" processname="Running Exhaust"/>71<pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="17" processname="Crankcase ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="117" pollutantname="Primary PM2.5 - Tirewear Particulate" processkey="10" processname="Tirewear"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="15" processname="Crankcase Running Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="17" processname="Crankcase Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="90" processname="ExtendedIdle Exhaust"/></pollutantprocessassociations><databaseselections><databaseselection servername="" databasename="monroe_2007_pm25_lookups_input1" description=""/></databaseselections><internalcontrolstrategies><internalcontrolstrategy classname="gov.epa.otaq.moves.master.implementation.ghg.internalcontrolstrategies.rateofprogress.RateOfProgressStrategy"><![CDATA[useParameters No]]></internalcontrolstrategy></internalcontrolstrategies><inputdatabase servername="" databasename="" description=""/><uncertaintyparameters uncertaintymodeenabled="false" numberofrunspersimulation="0" numberofsimulations="0"/><geographicoutputdetail description="NATION"/><outputemissionsbreakdownselection><modelyear selected="false"/>72<fueltype selected="false"/><emissionprocess selected="true"/><onroadoffroad selected="true"/><roadtype selected="true"/><sourceusetype selected="true"/><movesvehicletype selected="false"/><onroadscc selected="false"/><offroadscc selected="false"/><estimateuncertainty selected="false" numberOfIterations="2" keepSampledData="false" keepIterations="false"/><sector selected="false"/><engtechid selected="false"/><hpclass selected="false"/></outputemissionsbreakdownselection><outputdatabase servername="" databasename="monroe_2007_pm25_SO2_output4" description=""/><outputtimestep value="Hour"/><outputvmtdata value="true"/><outputsho value="false"/><outputsh value="false"/><outputshp value="false"/><outputshidling value="false"/><outputstarts value="false"/><outputpopulation value="true"/><scaleinputdatabase servername="localhost" databasename="monroe_2007_pm25_lookups_input1"description=""/><pmsize value="0"/><outputfactors><timefactors selected="true" units="Hours"/><distancefactors selected="true" units="Miles"/><massfactors selected="true" units="Grams" energyunits="Joules"/></outputfactors><savedata></savedata><donotexecute></donotexecute><generatordatabase shouldsave="false" servername="" databasename="" description=""/><donotperformfinalaggregation selected="false"/><lookuptableflags scenarioid="Monroe_2007" truncateoutput="false" truncateactivity="false"/></runspec>73Exhibit 8: MOVES Input Datafor Monroe County Emissionsfor PM2.5 SIP Budget – 2007Source Type PopulationyearID sourceTypeID sourceTypePopulation2007 11 7002007 21 123842007 31 77172007 32 24942007 41 02007 42 02007 43 782007 51 112007 52 3452007 53 242007 54 352007 61 1722007 62 466Vehicle Type VMT – HPMSVtypeYear WorksheetHPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT10 2007 2,783,976.15 0.0020 2007 433,560,565.63 0.0030 2007 265,025,409.86 0.0040 2007 7,214,859.49 0.0050 2007 32,794,066.07 0.0060 2007 166,893,725.63 0.00Meteorology DatamonthID zoneID HourID temperature relHumidity7 132070 1 56.458 75.36774monthID zoneID HourID temperature relHumidity7 132070 2 55.400 77.3587 132070 3 54.325 79.1177 132070 4 53.358 80.6007 132070 5 52.542 81.7507 132070 6 51.775 82.8507 132070 7 51.267 83.3427 132070 8 51.958 82.6337 132070 9 55.083 78.3087 132070 10 59.967 70.3427 132070 11 64.742 61.8757 132070 12 68.775 54.9337 132070 13 71.908 49.9177 132070 14 74.092 46.5507 132070 15 75.533 44.3177 132070 16 76.242 43.1757 132070 17 76.033 43.2427 132070 18 74.758 44.8007 132070 19 71.625 49.5587 132070 20 67.333 56.7587 132070 21 63.600 63.3007 132070 22 61.025 67.7587 132070 23 59.250 70.7177 132070 24 57.742 73.283Age Distribution - SamplesourceTypeID yearID ageID ageFraction21 2007 0 0.0112021 2007 1 0.0450021 2007 2 0.0495021 2007 3 0.0605021 2007 4 0.0596021 2007 5 0.0566075sourceTypeID yearID ageID ageFraction21 2007 6 0.0620021 2007 7 0.0617021 2007 8 0.0715021 2007 9 0.0634021 2007 10 0.0576021 2007 11 0.0523021 2007 12 0.0465021 2007 13 0.0444021 2007 14 0.0428021 2007 15 0.0362021 2007 16 0.0317021 2007 17 0.0265021 2007 18 0.0235021 2007 19 0.0191021 2007 20 0.0114021 2007 21 0.0069021 2007 22 0.0067021 2007 23 0.0053021 2007 24 0.0041921 2007 25 0.0033221 2007 26 0.0026221 2007 27 0.0020821 2007 28 0.0016421 2007 29 0.0013021 2007 30 0.0329531 2007 0 0.0154731 2007 1 0.0396131 2007 2 0.0447731 2007 3 0.0479331 2007 4 0.0477431 2007 5 0.0530431 2007 6 0.0643831 2007 7 0.0294676sourceTypeID yearID ageID ageFraction31 2007 8 0.0398631 2007 9 0.0459831 2007 10 0.0490631 2007 11 0.0422631 2007 12 0.0399731 2007 13 0.0525231 2007 14 0.0553931 2007 15 0.0538831 2007 16 0.0422931 2007 17 0.0502731 2007 18 0.0473331 2007 19 0.0447131 2007 20 0.0322331 2007 21 0.0261731 2007 22 0.0296131 2007 23 0.0004631 2007 24 0.0003931 2007 25 0.0003631 2007 26 0.0003231 2007 27 0.0002831 2007 28 0.0002531 2007 29 0.0002331 2007 30 0.00378Note: File contains 373 records and is available on request77Exhibit 9: 2023 RunSpec for Monroe County<runspec><description><![CDATA[Monroe County - PM2.5 Lookup for Maintenance SIP - -Run #4 - Re run with new weather - 091211 - plus re-run with MOVESdefault files and revised source population]]></description><modelscale value="Rates"/><modeldomain value="SINGLE"/><geographicselections><geographicselection type="COUNTY" key="13207" description="GEORGIA - Monroe County"/></geographicselections><timespan><year key="2023"/><month id="7"/><day id="5"/><beginhour id="1"/><endhour id="24"/><aggregateBy key="Hour"/></timespan><onroadvehicleselections><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="62" sourcetypename="Combination Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="DieselFuel" sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="41" sourcetypename="Intercity Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="42"sourcetypename="Transit Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="32" sourcetypename="Light Commercial Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="54" sourcetypename="Motor Home"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="11" sourcetypename="Motorcycle"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="21" sourcetypename="Passenger Car"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="31" sourcetypename="Passenger Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="51" sourcetypename="Refuse Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="43" sourcetypename="School Bus"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline"sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/><onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="42" sourcetypename="Transit Bus"/></onroadvehicleselections>78<offroadvehicleselections></offroadvehicleselections><offroadvehiclesccs></offroadvehiclesccs><roadtypes><roadtype roadtypeid="1" roadtypename="Off-Network"/><roadtype roadtypeid="2" roadtypename="Rural Restricted Access"/><roadtype roadtypeid="3" roadtypename="Rural Unrestricted Access"/><roadtype roadtypeid="4" roadtypename="Urban Restricted Access"/><roadtype roadtypeid="5" roadtypename="Urban Unrestricted Access"/></roadtypes><pollutantprocessassociations><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="15" processname="CrankcaseRunning Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="16" processname="CrankcaseStart Exhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="17" processname="CrankcaseExtended IdleExhaust"/><pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="90" processname="ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="16" processname="Crankcase Start Exhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="116" pollutantname="Primary PM2.5 - Brakewear Particulate" processkey="9" processname="Brakewear"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="112" pollutantname="Primary PM2.5 - Elemental Carbon" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="15" processname="Crankcase RunningExhaust"/>79<pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="17" processname="Crankcase Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="111" pollutantname="Primary PM2.5 - Organic Carbon" processkey="90" processname="Extended Idle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="15" processname="Crankcase RunningExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="16" processname="Crankcase StartExhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="17" processname="Crankcase ExtendedIdle Exhaust"/><pollutantprocessassociation pollutantkey="115" pollutantname="Primary PM2.5 - Sulfate Particulate" processkey="90" processname="Extended IdleExhaust"/><pollutantprocessassociation pollutantkey="117" pollutantname="Primary PM2.5 - Tirewear Particulate" processkey="10" processname="Tirewear"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="1" processname="Running Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="2" processname="Start Exhaust"/><pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="90" processname="ExtendedIdle Exhaust"/></pollutantprocessassociations><databaseselections><databaseselection servername="" databasename="monroe_2023_pm_input4" description=""/></databaseselections><internalcontrolstrategies><internalcontrolstrategy classname="gov.epa.otaq.moves.master.implementation.ghg.internalcontrolstrategies.rateofprogress.RateOfProgressStrategy"><![CDATA[useParameters No]]></internalcontrolstrategy></internalcontrolstrategies><inputdatabase servername="" databasename="" description=""/><uncertaintyparameters uncertaintymodeenabled="false" numberofrunspersimulation="0" numberofsimulations="0"/><geographicoutputdetail description="LINK"/><outputemissionsbreakdownselection><modelyear selected="false"/><fueltype selected="false"/><emissionprocess selected="true"/><onroadoffroad selected="true"/><roadtype selected="true"/><sourceusetype selected="true"/><movesvehicletype selected="false"/><onroadscc selected="false"/><offroadscc selected="false"/><estimateuncertainty selected="false" numberOfIterations="2" keepSampledData="false" keepIterations="false"/>80<sector selected="false"/><engtechid selected="false"/><hpclass selected="false"/></outputemissionsbreakdownselection><outputdatabase servername="" databasename="monroe_2023_pm25_lookups_output4" description=""/><outputtimestep value="Hour"/><outputvmtdata value="true"/><outputsho value="false"/><outputsh value="false"/><outputshp value="false"/><outputshidling value="false"/><outputstarts value="false"/><outputpopulation value="true"/><scaleinputdatabase servername="localhost" databasename="Monroe_2023_pm_input4" description=""/><pmsize value="0"/><outputfactors><timefactors selected="true" units="Hours"/><distancefactors selected="true" units="Miles"/><massfactors selected="true" units="Grams" energyunits="Joules"/></outputfactors><savedata></savedata><donotexecute></donotexecute><generatordatabase shouldsave="false" servername="" databasename="" description=""/><donotperformfinalaggregation selected="false"/><lookuptableflags scenarioid="monroe_2023_1" truncateoutput="false" truncateactivity="false"/></runspec>

### 81 

## Exhibit 10: MOVES Input Data for Monroe County Emissions for PM2.5 SIP Budget – 2023

Source Type Population

yearID sourceTypeID sourceTypePopulation
2023 11 987
2023 21 17461
2023 31 10881
2023 32 3516
2023 41 0
2023 42 0
2023 43 111
2023 51 15
2023 52 486
2023 53 34
2023 54 50
2023 61 243
2023 62 657

Vehicle Type VMT – HPMSVtypeYear Worksheet

HPMSVtypeID yearID HPMSBa seYearVMT baseYearOffNetVMT 10 2023 3,273,420.87 0.00 20 2023 411,263,213.35 0.00 30 2023 220,821,301.48 0.00 40 2023 2,003,423.42 0.00 50 2023 25,306,731.87 0.00 60 2023 32,714,715.77 0.00

Meteorology Data

monthID zoneID HourID temperature relHumidity
7 132070 1 56.458 75.367
7 132070 2 55.400 77.358
7 132070 3 54.325 79.117
7 132070 4 53.358 80.600
7 132070 5 52.542 81.750
7 132070 6 51.775 82.850
7 132070 7 51.267 83.342
7 132070 8 51.958 82.633
7 132070 9 55.083 78.308
7 132070 10 59.967 70.342
7 132070 11 64.742 61.875

### 82 monthID zoneID HourID temperature relHumidity
7 132070 12 68.775 54.933
7 132070 13 71.908 49.917
7 132070 14 74.092 46.550
7 132070 15 75.533 44.317
7 132070 16 76.242 43.175
7 132070 17 76.033 43.242
7 132070 18 74.758 44.800
7 132070 19 71.625 49.558
7 132070 20 67.333 56.758
7 132070 21 63.600 63.300
7 132070 22 61.025 67.758
7 132070 23 59.250 70.717
7 132070 24 57.742 73.283

Age Distribution - Sample

sourceTypeID yearID ageID ageFraction
21 2023 0 0.01120
21 2023 1 0.04500
21 2023 2 0.04950
21 2023 3 0.06050
21 2023 4 0.05960
21 2023 5 0.05660
21 2023 6 0.06200
21 2023 7 0.06170
21 2023 8 0.07150
21 2023 9 0.06340
21 2023 10 0.05760
21 2023 11 0.05230
21 2023 12 0.04650
21 2023 13 0.04440
21 2023 14 0.04280
21 2023 15 0.03620
21 2023 16 0.03170
21 2023 17 0.02650
21 2023 18 0.02350
21 2023 19 0.01910
21 2023 20 0.01140
21 2023 21 0.00690
21 2023 22 0.00670
21 2023 23 0.00530
21 2023 24 0.00419
21 2023 25 0.00332

### 83 sourceTypeID yearID ageID ageFraction
21 2023 26 0.00262
21 2023 27 0.00208
21 2023 28 0.00164
21 2023 29 0.00130
21 2023 30 0.03295
31 2023 0 0.01547
31 2023 1 0.03961
31 2023 2 0.04477
31 2023 3 0.04793
31 2023 4 0.04774
31 2023 5 0.05304
31 2023 6 0.06438
31 2023 7 0.02946
31 2023 8 0.03986
31 2023 9 0.04598
31 2023 10 0.04906
31 2023 11 0.04226
31 2023 12 0.03997
31 2023 13 0.05252
31 2023 14 0.05539
31 2023 15 0.05388
31 2023 16 0.04229
31 2023 17 0.05027
31 2023 18 0.04733
31 2023 19 0.04471
31 2023 20 0.03223
31 2023 21 0.02617
31 2023 22 0.02961
31 2023 23 0.00046
31 2023 24 0.00039
31 2023 25 0.00036
31 2023 26 0.00032
31 2023 27 0.00028
31 2023 28 0.00025
31 2023 29 0.00023
31 2023 30 0.00378
Note: File contains 373 records and is available on request

### 84