### INDIANA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT We ProtectHoosiers and Our Environment. Mitchell E. DanielsJr

. 100 North Senate Avenue Governor Indianapolis, Indiana 46204 (317) 232-8603 Thomas W. Easterly Toll Free (800) 451-6027 Commissioner www.idem.IN.gov



### Ms. Susan Hedman Regional Administrator U.S. Environmental Protection Agency Region 5 77 West Jackson Boulevard Chicago, IL 60604-3950
Dear Ms. Hedman: December 13, 2012

Re: Request to Parallel Process the Draft MOBILE6.2 to MOVES MVEB Replacement Update to the Maintenance Plan for the Annual Fine Particles Standard for Lake and Porter Counties, Indiana
The Indiana Department of Environmental Management (IDEM) submits the enclosed MOBILE6

.2 to Motor Vehicle Emissions Simulator (MOVES) Motor Vehicle Emissions Budget (MVEB) replacement update to the maintenance plan for the annual fine particles standard for Lake and Porter counties, Indiana

. The United States Environmental Protection Agency (U

.S

. EPA) approved the Request for Redesignation and Maintenance Plan Underthe Annual NationalAmbientAir Quality Standard forFine Particles for the Indiana Portion ofthe Chicago-Gary-Lake County , /L-IN Nonattainment Area submitted by IDEM on May 26, 2011, with an effective date of February 6, 2012. IDEM requests that U .S

. EPA parallel process this draft MVEB replacement submittal for approval into Indiana's State Implementation Plan

. IDEM is providing an opportunity for a public hearing on the MVEB replacement update to the maintenance plan for the annual fine particles standard for Lake and Porter counties, Indiana, if a public hearing request is received by January 14, 2012. A hearing has been scheduled for January 23, 2013. Ifa request for a public hearing is not received by January 14, 2012, the hearing will be cancelled. IDEM is providing a 36 day comment period on this update, with the public comment period ending on January 25, 2013. The final submittal ofthe MVEB update for the maintenance plan for the annual fine particles standard for Lake and Porter counties, Indiana will document the public review process, including a detailed summary ofand response to substantive comments.

RecycledPaper 

### @ An Equal Opportunity Employer Please R ecy cl

e 

### 0

### Ms. Hedman Page 2
This MOBILE6.2 to MOVES MVEB replacement update incorporates onroad emission estimates and revised MVEBs using U.S. EPA's recently adopted MOVES model. The onroad emission estimates were calculated using the MOVES-based emission factors and data extracted from the Lake and Porter counties, Indiana, area's travel-demand model.
MVEBs are being revised in anticipation of the mandatory use ofthe MOVES model in future transportation conformity determinations. Preliminary use ofthe new model indicates that emission estimates can be considerably different than similar calculations using MOBILE6.2, which was used to create the MVEBs in the original annual fine particles maintenance plan.
Onroad safety margins, established through the interagency consultation process, are included for nitrogen oxides (NOx) and fine particulate matter (PM2s). These onroad safety margins are allocated to onroad emission estimates in order to account for the wide array of assumptions that are factored into the calculation process. With the addition of onroad safety margins applied to mobile sources, the Lake and Porter counties, Indiana, annual fine particles maintenance area will continue to remain well below the overall safety margins for all sources. MVEBs are also constrained to ensure that total NOx and PM2s emissions (i.e., all source categories) do not exceed attainment year emissions to ensure continued maintenance ofthe annual fine particles standard.
This submittal consists of one (1) hard copy ofthe required documentation. An electronic version ofthe submittal in PDF format that is identical to the hard copy has been sent to Pamela Blakley, Chief of U.S. EPA Region 5's Control Strategies Section.
IDEM respectfully requests that U.S. EPA proceed with preliminary review ofthe MOBILE6.2 to MOVES MVEB replacement update and revised transportation conformity budgets and approval into Indiana's State Implementation Plan for the Lake and Porter counties, Indiana, maintenance area under the annual fine particles standard. Ifyou have any questions or need additional information, please contact Scott Deloney, Chief, Air Programs Branch, at (317) 233-5694. Sincerely,

# ;~,_/)-**eD~r** Keith Baugues Assistant Commissioner Office ofAir Quality KB/sad/sms
Enclosures:

RecycledPaper 

### <!)Onroad Emissions MOBILE6.2 to MOVES Replacement Submittal for Lake and Porter Counties, Indiana, Maintenance Plan Under the Annual National Ambient Air Quality Standard for Fine Particles. Electronic MOVES-based modeling input and output data files.

An Equal OpportunityEmployer Please Recycle 

### O

### Ms. Hedman Page 3

cc: Doug Aburano, U.S. EPA Region 5 (w/ enclosures) Ed Doty, U.S. EPA Region 5 (w/ enclosures)

RecycledPaper 

### $ John Summerhays, U.S. EPA Region 5 (w/ enclosures) Steve Rosenthal, U.S. EPA Region 5 (no enclosures) Pamela Blakley, U.S. EPA Region 5 (w/ enclosures) Pat Morris, U.S. EPA Region 5 (no enclosures) John Swanson, NIRPC (w/ enclosures) Bill Brown, NIRPC (w/ enclosures) Keith Baugues, IDEM-OAQ (no enclosures) Scott Deloney, IDEM (no enclosures) Shawn Seals, IDEM (w/ enclosures)

An Equal Opportunity Employer Please Recycle 

### O

# DRAFT Onroad Emissions MOBILE6.2 to

MOVES Replacement Submittal

, ........•

# ,

December 2012

### This page intentionally left blank

### Introduction


### On May 26,2011, the Indiana Department ofEnvironmental Management (IDEM) submitted a Request for Redesignation andMaintenance Plan Under the AnnualNationalAmbientAir Quality Standard for Fine Particles 

### for the Indianaportion ofthe Chicago-Gary-Lake County, IL-IN nonattainment area The United States Environmental Protection Agency (U.S. EPA) subsequently approved the Indiana redesignation ofLake and Porter counties, Indiana, to attainment for the annual standard for fine particles with an effective date ofFebruary 6, 2012 (76 FR 76302). Onroad emissions for the May 26, 2011, submittal were calculated using MOBILE6.2. U.S. EPA has encouraged mobile source stakeholders to transition to the neW;:;&iotor Vehicle Emissions Simulator (MOVES) model as expeditiously as possible.**Ther~f&i'~l';lDEM** 

### is providing this MOBILE6.2 to MOVES replacement update to the

### previou~ly[j~~JJ~itted redesignation and maintenance plan for the Lake and Porter counties,

### Indian~;'i@'fi&~1.:{jne patticles standat·d maintenance areathat incorporates MOVES-based**onrp~;~i'H~fu.issi6tt~h:.** 

### ,.):,:,:.·:;:._:.**':.::~ ':::::~:-.**  

### Emission Inventory**,<:~j~l&~jj)~J};.·** \;;:;.:::::::;. 

### The tables titled, 2008-Lake and Potter Counties,

# ~~·$\1t~;~ls (T.QQ$per

# Year):i:B.i;~,Lake and Po1ter Counties, IN Totals (Tons per Year), 2.9.?Q.;Lake and

### P61¥~t:B~~nties, IN Totals ('t():ps per Year), and 2025-Lake and Porter Counties,**IN'jj'j;'~tf:\l~.(Tons** 

### per**Y~f~J:**

### were included in Appendix E ofthe original Redesignation Petition and**Maifi\~J}l\fi(f** 

### (ln. The c0:nsplidated table titled, 2008,2015, 2020, and 2025 Lake and Potter

### Counties;~~~gia~a ·.

### '~1;1- All

### A'li~JiJ:.gpogenic Sources in Tons Per Year (to be considered a re_pJ\\99J11ent**ofthe~li;isting gifj)'~l:~t~** **2008~~0:15,** 

### 2020, and 2025 tables included inAppendix

## E~g,§i~¥mil~g!Nlove)**has~~~~n ::~;i!l,~~a:tg)~R~orp~¥~te**  updated onroad emission estimates for nitrogen**i)'ii,;~\!es (NO~)(@g**  

### fine**partfqJ:!J~t~•fuattei'(B:M2s)** 

### for the years 2008, 2015, 2020, and 2025 and

### restiR~ls!na**diffet~~!** overall

### ~~'f~Wmargin

### fo~·the area. It 

### should be noted that although sulfur dioxide**(SOl)'~wissi~M.!!rx includ~l;ltn**  

### the Appendix E tables, consistent with the

< ; ::;.**~** • ·-**~-** : :-· '•," •**~-"** • '· " .-, -. ' \" •••**~** 

### federal · . ·•
...**forj~J~~~p~i'ti&I~~);;~B:1ianatg\l.rs** 

### not consider mobile source SOz to be a

· ·••
.....**pal'iis#~** 

### for**thi~'fit~!nt~n'i'illbe** 

### area, as mohile source SOz constitutes

· ..,, ·**ailthl'~npgenic eitll§·~ions.**  

### As such, SOz emissions are not**LVIJ.~)•::?V**

## 1s;:Q"o2P, and 2025 Lake and Porter Counties, Indiana, Area

- 

### Per

# fi\!Jri ,

1

### 2020

-Lake andPorter Counties,INTotals (Tons perYear) AREA NONROAD ONROAD POINT GRAND TOTAL NOx 2,187.09 4,057.84**~.GG4.e8** 

### 27,832

.65**~+,082.~6** 

### so2 664.67 215

.27 n;!-6 

### 38,493.19**~9,445.89** 

### DirectPM2

.s 21.97 185.11**114 ~2**  

### 6,566

.86**6,888.~6**



### 2025-Lake and Porter Counties, IN Totals (Tons perYear) AREA NONROAD ONROAD POINT GRAND TOTAL NOx 2,148.80 3,349

.95**2.~~4.9~ ~** **~-~·· 26,980.09** **~5,013.+9** 

### so2 647.07 175.39**···** -·. • '·**~**..,.**~·** ,,, 

### 35,888.27**~6,+8+ 24**  

### Direct PM2.s 21.29 140

.67**J~ '** **~:::::**

### .. 6 484 75**~.:,;~~~~** 

### '



# . 6,+62.10

•,•;- . _. .**-.~**....

-

## ..

:.>

......... I

-**~** 0 .. 

### Sector 2008 NOx 2015 NOx 2020 NOx 2025 NOx

Area 2,264.46 2,226.21 2,187

.09 2,148

.80 Nomoad 6,667.71 4,962. 17 4,057.84 3,349.95 Onroad · 15, 175.43 9,118.33 5,782

.93 4,758

.55

Point 39,945.76 28,883.26 27,832

.65 26,980.09 Total 64,053.36 45,189.97 42,528

.83 37,237.39 Sector 2008 PM2.s 2015 PM2.s 2020 PM2.s 2025 PM2

.s

Area 23.60 22.70 21.97 21.29**Nomo~~ ~-'"**  

### -: 363.91 248.01 185.11 140.67**onro a~r** **~.**

# :
.. = "**~.,. .~**  

## ,, 1,988

.84 325.48 198.5 1 164.12**~6fi;l f'**  

### 6,676.32 6,650

.33 6,566.86 6,484.75**ti> f~l** **:** 

### 9,052.67 7,246.52 7,074.03 6,810.83

.... .**·.** ••
- •• ·9 · ···:·:····· 

## <t_{.;**''{~\ ···=:~~{h-.**  OmoademisstQh estimates in Hfe table tiit-eH, 2008, 2015, 2020, and 2025 Lake and Porter Counties,

## India**~~; ea**  - All

## ARtJ~·opog**enic** Sources inTons PerYear were calculated using \.•

.-..

·"·A·**~** " •' 

### U.S. EPA's**MOVES ~g** **del-pr 5i~** **!lped** 

### emission factors and data extracted from the area's traveldemand model. The**I\1I Q.)'~_§** **fW del**  

### implements a significantly different approachto emissions estimation than the

### prev1**~1t1~~ del**  (MOBILE6.2). Preliminary use ofthe MOVES model indicates that emission estitrt il

tes can be considerably different than similar calculations using MOBILE6

.2, which was used to create the original MVEBs for the Lake and Pmter counties, Indiana, annual fine patticles standard maintenance area. A general summary ofthe MOVES methodology used in this area can be found in Appendix A. 

### In

### addition, MOVES input and outputfiles are beingprovided electronically with this submittal. Growth and control strategy assumptions for non-mobile sources (i.e. area, nonroad, and point) from the original submittal for the years 2008, 2015,2020, and 2025 were developed before the economic challenges ofthe last several years. Because ofthis, the factors included inthe original submittal may project more growththan will actually occur in the future. As a result, the growth and control strategy

2

### assumptions for the non-mobile sources for the years 2008, 2015, 2020, and 2025 continue to be valid and do not affect the overall conclusions ofthe plan.

Onroad safety margins have been included for onroad emission estimates to accommodate the wide array ofassumptions that are factored into the calculation process. Since assumptions change over time, it is necessary to have an onroad safety margin that will accommodate the impact ofrefined assumptions inthe process. The plan continues to meet all applicable Clean Air Act (CAA) requirements as the revised emission inventories clearly illustrate that total NOx and PM2.5 

### emissions in the Lake and Porter counties, Indiana, annual fine patticles standard maintenance area will continue to decline leading to local redl\1\tiQns between 2008 (base year) and 2015 (maintenance plan interim budget year), as well**a~AQQ)l'(base** 

### year) and 2025 (maintenance planhorizon budget year).**,:::~:::tz£g:' ,~::]1~1~~-~~)j~~lj~:;.~:.;;~:;:::~~\"**  

## ,,,

# ~~::s:.~r:::~:c~:dn:::::~::g~;~he**origiqa(t@~~~;~:ation ·~~~i~l~~@p**  Maintenance Plan**'c'"'····>'~'·Y** ·c.•f/",•, 

### for the Lake and Potter counties, Indiana, annmiFfihe particles standard malntenance area. Table 5.1- A (to be considered a replacement ofTable

## s':~'~tf:J:~s**bee9l~:¥ised** to

## int5t~l)~ate U.S. EPA's MOVES model-produced emission

.... and data**ex(f~9t~~::j;f:i)m** 

### the**region's'•tf-~}:el-demand** 

### model. Through the interagency ··· ifWi!S:''ctetermined that including Chicago Area emissions in this replacement

### nece~Wt&:,.f!ue to U.S. EPA's designation of attainment separately for Lake and

### ef.fe~tiY.e February 6, 2012.

Direct

Direct



### Lake and Porter Counties, IN subtotal% 187.09 10,703.81



### 3 

### •' '**"<:::::.~~~tf:::..**

### <:~~~~~)

136.61 132.15 5,723.67 5,179.87 29,102.00 23,687.00

114.32 115.39 3,004.68 2,534.95

### Table 5
.1- A Emission Estimates for On
-Road Mobile Sources (MOVES-based Onroad Emissions)

Lake and Porter Counties, 2008 2015 2020 Indiana 2025


### NOx (tons/year) 15,175.43 9,118.33 5,782.93 4,758.55 PM2.s (tons/year) I,988.84 325.48 198.5 1 164.12

•?. ....-;;·:.**,:**

## . •'< •. 

### Table 5.2 was included on Page 35 ofthe original Redesignatioi't.:Pe tition and Maintenance Plan .•/.•)(·::.i:::Y 

### for the Lake and**P~rter** 

### counties, Indiana, annual fine**pat ~~i** **~~~}~V.W. dard**  

### m.a intenance area. Table 5

.2- A (to be considered a replacement ofTable 5.2)

### ha**~$~ n** **i'e ~~** **d** to mcorporate MVEBs calculated using U.S. EPA's MOVES

### model-produ**tf4 .:** **~mis sion** **f~ fc** **(9):~ .**  and data extracted from theregion' s travel-demand model as detailed in

### J;**~bfk= 1-**  A

.

### Thro**ugft t4~**  interagency consultation process, itwas determined that suh1fi W iing the previous in lelUJ.,, budget year of2015 with a revised interim budget year of2015 was

### 'jjt_li~:**~asonable d** **approp t~_f** **or** transp01tation conformity demonstrations moving forward. .;;:}::..

. ..{:f:::..

### -.;d~::~~-.**"'~:::::. ..::;:,~!:::::·:**  V'**,~~~7.:·** .·'•f.:•**·>.·:=~·. ···~~-..:·~.~·.** **··:;f.~~: ;;s:t::::~:-~~** **~::::;:;~~::~::~:·**..**·~:·;) <~·:,~,,~·~··**  

### ··:·:-:·:·:
...:···**~:!•:·:··~·:······:·, Table**  

### 5 2 ····:·:<:·:,v**·~::;w:~:::=::. ...**  

## .**'.;;:~:::::~** 

### Motor Vehicle

## Emissi**!fa~$- /or** **Lai c<~!~**  Porter Counties

## (MOBILEG**:~ basetl** **{)'** r . oad

## EniiS**~t ons)** **·:~~l~: ,**  

## ·.**·.::·:~tt~~:: ::;..** **'·<ib ·~** **A~:::·~·**

### ~**~.·~:-.** 0 ".J.- ••**:::~ W.** **Ox (tons** **(y~~ r)** 

### :PM.h**(to~ §JY,:e** **ar) -:** **·:~-'· .«~;.:,·.:~** **··:~~.-=-~!** ..**t:O.~(~.r v~** **:;::~''l-'**

### ·~o/ .,,

# .. .. 2016 2025
2,915.19

•, 

## .

.;··: 

### 2015 2025 10,486.08 5,472.34

374.30 188.73

Through the interagency consultationprocess, itwas determined that a revised maintenance plan interim budget year of2015 and a horizonbudget year of2025, would be appropriate. The interagency consultation group approved onroad margins ofsaf ety offifteen percent ( 15%) for both

### NOxand PM2.5 

### omoad emission estimates for the years 2015 and 2025. A summary ofthis interagency consultation discussionca n befound inAppendix B. Theserevised emission inventories clearly illustrate that omoad

### NOxand PM2
.5 

### emissions in the Lake and Porter counties, Indiana, mmual fine particles standard maintenance areawill continue to decline leading to local reductions between 2008 (base year) and 2015 (revised maintenance plan interim budget year), as well as 2008 (base year) and 2025 (maintenance plan horizonbudget year).


### 4

### Furthermore, when compared to the overall safety margin as defined in the Code ofFederal Regulations (CFR) at 40 CFR 93.101, it is evident the onroad safety margin allocation is reasonable and appropriate. More specifically, even with the allocation ofan onroad safety margin to mobile sources, emissions will continue to remain well belowthe overall safety margin for all
sources as detailed in the table titled, 2008, 2015, 2020, and 2025 Lake and Porter Counties, Indiana, Area- All Anthropogenic Sources in Tons Per Year. MVEBs are constrained to ensure that the total emissions (i.e., all source categories) do not exceed the 2008 attainment year emissions ofeitherNO, or PM25 , 

### thereby ensuring continued maintenance ofthe annual fine particles standard.


### Conclusion**/:::::::::~;~~:;;:~~;:,** 

### This MOBILE6.2 to MOVES replacement update to**the,P:t~xroi'@ysubmitted** 

### Request for Redesignation andMaintenance Plan Under the**Annuqf'Ntitional~ntkient**

### Air Quality Standard for Fine Particles for the Indiana portion ofthe

### ClJJ!)~g~'\.Gary-LakeG§1JJ1ty, IL-IN nonattainment
area incorporates onroad emission estimates**am,l,:~X~Vfsed** 

### MVEB using'Ui$,. EPA's recently adopted MOVES model. MVEBs have been

### re'VI~~i.lin anticipation ofthe'rt\,i)Jldatory use ofthe MOVES model infuture transportation

### conformit)iiq~~t:!rminatjQJ,}~. The

### onroa~~Jnission estimates
were calculated using the**MOVES-bas~qemission** 

### faH9t§!l!JQgata extracted fr&i\1,1).e area's travel-demand model. Onroad

### safety'\)i~gjp§for NO,

### ari~)%'@~·.**,** established tlu:oilgh the interagency consultationprocess, are

### irlb)\l.il~Q; in:9rder to a&pl;mt for the wide array of assumptions that are factored into the

### calii#j;Jti8i'i**p)\~~~ss. MV$~~** ..are also constrained to ensure that total NOx and PM2.s**emi.s~ions** 

### (i.e.,**afi~\)wce.2ii't~g(lrjes) do'h&t:~xceed**  

### attainment year (2008) emissions to

### enstg~~g~btJli:\.l~d**maint~~@ce oft4~~t!<tl** **fi~ii'ptirticles** standard. With the addition

### ofMOVES-bl(~~~ 

## 8irroail**~#!:]ty margi#~:1!PPH~H** **to'ffig~U"** sources, the Lake and Pmter counties, Indiana, annliii!Mne

### pmtidMi~tandard**$~!fit'enance** areii'\vill continue to remain well below the overall safety ITllifihvs**for.:~\f~ources inlq~J;!.e**  

### future. As such, the mmual fine particles

### ahq'l,Jqx!#Sil@~\~s,**Indiai'l~,** continues to meet all applicable CAA "", n/.,< ·• ' "<•,<,<•' •• '•::::;:::;;)**··:::;j]jl:i~k::;-**



### 5

# Appendix A

Lake and Porter Counties, Indiana, Maintenance Area MOVES Methodology

### This page left intentionally blank

# Lake and Porter Counties MOVES2010a Input Data and Parameters

INDOT Planning Contract



# Final Report October 2, 2012



# CDMth Sm1Table of Contents Overview

.............................................................................................................................. 1 Vehicle Age Distribution

....................................................................................................... 1 Vehicle Population

................................................................................................................2 Meteorological Data

..............................................................................................................4 Default VMT Distributions

..................................................................................................... 4 Default Hourly Distributions

.................................................................................................. 5 Default Daily and Monthly Distributions

................................................................................ 6 Ramp Fractions

.................................................................................................................... 6

LIST OF TABLES

Table 1: MOVES2010a Source Type Codes

............................................................................. 1 Table 2: MOVES2010a Road Type Codes

................................................................................ 1 Table 3: Distribution of MOBILE 6.2 Light Duty Trucks into MOVES Source Types

................... 3 Table 4: Inventory of Permanent Count Stations

....................................................................... 5

LIST OF APPENDICES
Appendix A- MOVES2010a Input Settings and Assumptions Appendix B- Vehicle Age Distributions for Lake and Porter Counties Appendix C- Vehicle Populations for Lake and Porter Counties Appendix D- Meteorological Data for Lake and Porter Counties Appendix E- Default Statewide Factors Appendix F- Statewide Default Hourly Distribution Factors Appendix G- Statewide Default Daily Distribution Factors Appendix H- Statewide Default Monthly Distribution Factors Appendix I

- Ramp FractionsOverview: This report is being written to document the input parameters for a set of MOVES201Oa runs for the Lake and Porter Counties 8-hour Ozone Maintenance Area and the Lake and Porter Counties PM 2.5 non-attainment area. This report contains a discussion on the intended input settings used in MOVES2010a and the development of the input datasets. These MOVES201 Oa runs are intended to develop a default set of emission rates that can be used for conformity determination and is part of a statewide effort being conducted by the Indiana Department of Transportation (INDOT}. Throughout this report references are made to MOVES 2010a codes for two types of data. The values for the source type codes are shown in Table 1. The values for the road type codes are shown in Table 2. MOVES2010a input settings and assumptions for this effort are shown in Appendix A.
Table 1: MOVES201 Oa Source Type Codes sourcetypeid Description 

### 11 Motorcycles 

### 21 Passenger Car 

### 31 Passenger Truck 

### 32 light Commercial Truck 

### 41 Intercity Bus 

### 42 Transit Bus 

### 43 School Bus 

### 51 Refuse Truck 

### 52 Single Unit Short-haul Truck 

### 53 Single Unit Long-haul Truck 

### 54 Motor Home 

### 61 Combination Short-haul Truck 

### 62 Combination Long-haul Truck
Table 2: MOVES2010a Road Type Codes roadtypeid

Vehicle Age Distribution: 1 2 3 4 5 Description Off Network Rural Restricted Access Rural Unrestricted Access Urban Restricted Access Urban Unrestricted Access

The vehicle age distributions for MOVES source types 21, 31, and 32 (cars, passenger trucks, and light commercial vehicles respectively) were developed through an analysis of Indiana's 2009 vehicle registration data. The analysis was performed by Eastern Research Group (ERG) under contract to the Lake Michigan Air Directors Consortium (LADCO). ERG was provided with vehicle identification numbers (VIN) for vehicles in Indiana.There were approximately 6.37 million VINs in the statewide data set. Out of these, approximately 1.3 million returned errors. Of these, approximately 200,000 errors were deemed non-critical. This means that the model year and vehicle type assigned to the records were most likely correct despite there being an error in the VIN decoding. These records were included in ERG's analysis. The remaining errors were considered critical enough to call into question the accuracy of the model year and vehicle types. These critical errors were excluded from ERG's analysis.
In all, approximately 5.2 million VINs from around the state were used in the analysis. Each VIN was associated to a specific county. ERG then developed age distributions for each county in the state along with seven combination areas comprised of two or more counties each. Additional information on the methodology used to develop the vehicle age distributions can be found in a May 28, 2010 report written by ERG for LADCO titled MOBILE6 and MOVES Registration Distribution Calculations for Indiana Registration Data. Each set of age distributions was provided in both MOBILE6 and MOVES formats. The MOVES formatted data will be used for these MOVES201 Oa runs.
Due to limitations in ERG's VIN decoder, it was not possible to develop vehicle age distributions for any source types other than 21, 31, and 32 from the vehicle registration data. For all other source types, MOVES2010a default vehicle age distributions specific to each source types were used. This includes motorcycles and all heavy vehicles. Vehicle age distributions for all source types were kept constant for all future years. The vehicle age distributions for Lake and Porter Counties as a combined area are shown in Appendix B of this report.
Vehicle Population: The vehicle populations for source types 21, 31, and 32 were developed directly from the vehicle registration data. All valid records that were identified from the vehicle registration data set were used to determine the number of vehicles for each of these three source types. The VIN decoded data provided to INDOT contained vehicle types according to MOBILE6.2 vehicle categories. There is a direct correlation between MOVES source type 21 (cars) and the MOBILE6.2 vehicle type LDV. All valid LDV records (those records not excluded from the vehicle age distribution analysis due to errors as was described in the section on Vehicle Age Distribution in this report) were counted in the vehicle population.
There is not a direct correlation between MOVES source types 31 (passenger trucks) and 32 (light commercial vehicles) and the MOBILE6.2 light truck vehicle types (LDT1, LDT2, LDT3, and LDT4). All valid records from the vehicle registration data set for MOBILE6.2 light duty trucks were counted in the vehicle populations. The light duty trucks were distributed between MOVES source types 31 and 32 as per the Environmental Protection Agency's (EPA) guidance documented in Table A.1 of the appendix of the Technical Guidance on the Use of MOVES2010 for Emission Inventory Preparation in State Implementation Plans and Transportation Conformity. The guidance provides two sets of factors for distributing MOBILE6.2 light trucks between MOVES source types 31 and 32. These are based on fuel type and are shown in Table 3.

2Table 3: Distribution of MOBILES 2 Light Duty Trucks into MOVES Source Types Source Types Fuel 31 32 Gas 78% 22% Diesel 42% 58%
As per ERG's assumption documented in MOBILE6 and MOVES Registration Distribution Calculations for Indiana Registration Data, all light duty trucks that did not have a fuel type identified were counted as diesel trucks. This was to prevent an underestimation of diesel trucks and their related emissions.
Since only valid records from the vehicle registration data were used to calculate vehicle populations for source types 21, 31, and 32, it is reasonable to assume that some ofthe erroneous records that were discarded from the analysis actually belonged to these source types. The nature of these errors is not that the vehicle does not exist. Rather, it is that the vehicle could not be properly identified with any sense of certainty. It was therefore necessary to adjust the vehicle populations calculated from vehicle registration data to compensate for these discarded records. Based on an analysis of the error rate reported by ERG, vehicle populations for source types 21, 31, and 32 were increased by 5.8 percent.
Vehicle populations were not able to be developed directly from the vehicle registration data for some source types. This was due to the limitations in the VIN decoder used by ERG to process the vehicle registration data. Vehicle populations for all other source types (motorcycles and heavy vehicles) were derived by applying the Mileage Accumulation Rate (MAR) method documented in EPA's Technical Guidance on the Use of MOVES2010 for Emission lnventorv Preparation in State Implementation Plans and Transportation Conformity, Section 3.3 Source Type Population.
The default MARs were extracted from MOVES by running MOVES for a single pollutant and a single year for all vehicles, fuels, months, days, and hours. The activity output was set to report both distance and population. A ratio of population to vehicle-miles-traveled (VMT) was calculated from these outputs. The ratios were calculated for each source type.
The Northwestern Indiana Regional Planning Commission (NIRPC), which is the metropolitan planning organization (MPO) for Lake and Porter Counties, provided VMT by MOVES road types extracted from their travel demand model's base year. Since the default MARs in MOVES vary by year (but not by location), the MOVES run that was executed to extract the MARs was run for a year consistent with the travel demand model's base year. This resulted in MARs that could be applied directly to the validated VMTs reported by the travel demand model. The travel demand model VMTs were converted into annual VMT and distributed by vehicle types using statewide default VMT distribution factors documented in this report in the section on Default VMT Distributions. The MARs were then applied to the annual vehicle type VMTs. The result was an estimated vehicle population for each source type for the travel demand model's base year. Since the vehicle populations for source types 21, 31, and 32 were developed directly from the vehicle registration data, the population estimates derived for those

3source types using the MAR method were discarded and the observed data were used instead.
Future year vehicle populations were developed base on socioeconomic growth rates for the maintenance area. The MPO provided base year and horizon year population and employment data for the area. Annual growth rates were calculated for population growth and employment growth individually. Population growth rates were then used to grow the light vehicle populations (source types 11, 21, 31, and 32). Employment growth rates were used to grow the heavy vehicle populations (source types 41, 42, 43, 51, 52, 53, 54, 61, and 62). Vehicle populations were calculated for every year from 2008 to 2040. These vehicle populations for Lake and Porter Counties as a combined area are shown in Appendix C. Meteorological Data: The default set of hourly temperatures and hourly relative humidity was developed using EPA's data converters for changing MOBILE6.2 minimum 

### I maximum temperatures and absolute humidity to the MOVES equivalent formats. The values for the MOBILE6.2 inputs were taken from the Air Quality Conformity Determination Between the 2040 Regional Transportation Plan, the Fiscal Year 2012 to 2015 Transportation Improvement Program, and the Indiana State Implementation Plan for Air Quality, Appendix E, developed by NIRPC in June, 2011. Meteorological data reflect average annual conditions for the PM 2.5 runs. The MOBILE6.2 meteorological input data for each of the twelve months of the years were averaged together to create average annual temperatures and humidity. These were then passed through the data converters. The data reflect summer conditions for ozone using MOBILE6.2 inputs for July. The MOVES formatted meteorological data for Lake and Porter Counties as a combined area are presented in Appendix D ofthis report.
Default VMT Distributions: As part of this effort, INDOT developed a default set of VMT distribution factors by Highway Performance Monitoring System (HPMS) vehicle type and by MOVES road type. These distribution factors were developed by analyzing four consecutive years of continuous traffic count data ending in 2010 for twenty permanent traffic count stations throughout Indiana. The stations were selected to provide a spread of locations corresponding to each of the four MOVES road types. Furthermore, these stations were selected from among sites that were concentrated in nonattainment and maintenance areas. In some cases, data from the requested site were either partially or completely unavailable. An inventory of the sites used to develop the distributions is shown in Table 

### 4.
The vehicle counts reported at each station were provided by vehicle class. These were aggregated into the six basic HPMS vehicle types: motorcycle, passenger car, light truck, bus, single-unit heavy truck, and combination heavy truck. The distribution of VMT by vehicle type was calculated for each road type by taking each vehicle type's percentage oftotal traffic. These default statewide factors are shown in Appendix E.

4Table 4 Inventory of Permanent Count Stations SiteiD City County Location Road Type Data Quality
3000 MUNCIE DELAWARE HAMILTON MARION LAKE LAPORTE SR 332 RM 0.5 

### 3 Closed since 9/26/2006. No data. 3200 CARMEL US 31 RM 125.7 5 Good 3300 INDY WEST 1465 MM 10.0 4 Closed since 9/1/10 4000 GARY I 80 /I 94 MM 6.0 4 Only 2010 data passed QC Good 4500 LAPORTE SR2 RM 65.2 3 5600 SELLERSBURG CLARK 165 MM 8.0 

### 4 2 Bad sensors. Not usable. Good 6100 EVANSVILLE GIBSON 164 MM27.9 0105 TERRE HAUTE VIGO US 41 RM 104.2 

### 3 Good-closed 5/13/09 11/13/08-
0201 0210 0303 0327 0403 0501 0502 0507 0602 MIDDLEBURY FORT WAYNE MUNCIE DALEVILLE SOUTH BEND INDY SOUTH MARTINSVILLE SEYMOUR HAZLETON ELKHART ALLEN DELAWARE DELAWARE ST. JOSEPH MARION MORGAN JACKSON GIBSON SR 120 RM 13.9 3 1-69 0.53 mi N of 4 SR3 US 35 RM 44.5 5 169MM31.4 2 US 20RM 77.1 4 SR 37 RM 143.5 5 SR 67 RM 80.6 3 165 MM 47.0 2 SR 56 RM0.6 3 Good- closed 8/3/1 0-12/6/1 0 Good Good Good-built in 12/10/2007 Good Good-closed 5/22/09-6/1/09 Good Good Good 0603 DUBOIS DUBOIS SR 56 RM 53.3 

### 3 

### 5 4 Good- closed 1 0/16/08- 3/20/09 0608 EVANSVILLE VANDERBURGH SR 66 RM 23.5 Good 1315 I 70 MARION I 70 MM 83.5 Closed 5/17/06-3/24/08
Default Hourly Distributions: The same set of twenty permanent traffic count locations discussed in the section on Default VMT Distributions was analyzed to develop a set of hourly distribution factors. These factors were calculated by road type, by HPMS vehicle type. Hourly factors were only calculated for the average weekday. The hourly distribution pattern for each traffic count location was reviewed. Any data that appeared to reflect either an error in the data or an outlier of behavior were removed to prevent bias in the data. The following data were excluded from the analysis:

• Bus data from count stations 0105 and 0603 were excluded due to abnormal midnight peaks in the data; • An abnormal relationship between passenger cars and light duty trucks at count station 4500 prompted the exclusion of all data from this location due to questions of reliability; • Peak spreading behavior observed at count station 4000 from traffic related to Chicago was considered to be too unique to be included in a default statewide data set; and, • Combination truck traffic from station 3200 was excluded due to too much overnight traffic when compared to other vehicles and other stations.

5Furthermore, traffic patterns reported by those count stations corresponding to road type 3 (3000, 4500, 0105, 0201, 0502, 0602, and 0603) had a tendency to over represent long distance travel. This was most likely the result of statewide permanent count stations focusing primarily on higher order facilities. Rural collectors and local streets are less likely to reflect long distance travel. The hourly distributions for road type 3 (rural unrestricted access) were adjusted to better account for traffic behavior on lower order facilities in rural areas. A sample of traffic count data from Morgan County, IN was used to introduce more local traffic behavior in the road type 3 hourly distributions. An analysis of the Morgan County data showed a pattern more consistent with AM and PM peaking characteristics reflecting local commuting traffic on collectors and local streets for passenger cars and light duty trucks. The Morgan County data for passenger cars and light duty trucks on collectors and local streets were weighted and added to the road type 3 data set. This analysis assumed that rural collectors and local streets accounted for 20 percent of all VMT for road type 3.
The statewide default hourly distribution factors are presented in Appendix F.
Default Daily and Monthly Distributions: Default daily and monthly distribution factors were calculated from INDOT's official count adjustment factors which are more commonly used to develop AADT from raw traffic counts. These factors are based on the set of daily traffic counts collected from all permanent count stations throughout the state. The daily distribution factors determine what percentage of VMT is occurring on weekdays and what percentage is occurring on weekends. The monthly distribution factors determine what percentage of annual VMT is occurring in each month of the year. The statewide default daily distribution factors are shown in Appendix G. The statewide default monthly distribution factors are shown in Appendix H. Ramp Fractions: The ramp fractions represent the percentage of vehicle-hours-traveled (VHT) for road types 2 (rural restricted access) and 4 (urban restricted access) occurring on the ramps associated with those road types. These fractions were calculated based on the percentage of VHT occurring on ramps reported by the base year travel demand model. These ramp fractions are reported in Appendix I.

6

### Appendix A
NumberofRuns:

Input Item Ozone PM 2

.5 Years 2006, 2010, 2008, 2010, 2015,2020, 2015, 2020, 2025,2030, 2025,2030, 2035,2040 2035,2040 Pollutants/ Volatile PM 2.5 with all Processes Organic subspecies; Compound NOx (VOC), NOx, and supporting Meteorology Summer Average Annual #of MOVES 8 8 runsGeneral Parameters: MOVES Input Item Screen Ozone PM 2

.5 Description Description User Choice Scale Domain/Scale County Calculation Type Emission Rate Time Spans Time Hour Hour Aggregation Level Year 2004, 2010, 2008, 2010, 2015, 2020, 2015, 2020, 2025, 2030, 2025, 2030, 2035,2040 2035,2040 Months July April Days Weekday Weekday Hours Select All SelectAll Geographic Geographic Lake County* Lake County* Bounds Bounds Vehicles Vehicles All Gas and Diesel Combinations

Road Type Road Type Select All Pollutants/ Pollutants/ VOC, NOx, and PM 2.5 with all Processes Processes supporting subspecies; NOx General Database Name LakePorter LakePorter PM Output Ozone Units Select "Grams" and "Miles" and "Million BTU"
Activity Distance, Population Output On Road Select "Source Use Type" and "Road Emissions Type" Detail *Represents both Lake and Porter Counties

.

### C 

### t 0 

### t M 

# • County Data Excel Sheet Tab Manager Input Name Ozone PM 2

.5 Source (Vehicle) source Type Year Local Registration for Source Types 21, 31 , and 32; Type Population Estimated population using default MOVES mileage accumulation rates and local VMT for all other source types

. Future year vehicle populations based on population growth rates for sourcetypes 11 , 21, 31, and 32

. Employment growth used for all other source types.

Vehicle Type HPMSVTypeYear Statewide default vehicle distributions across road types VMT (by 13 developed by INDOT using an analysis ofpermanent count MOVES Vehicle station data from a statewide data set. Types) MonthVMTFraction Statewide default monthly fractions developed by INDOT using an analysis of permanent count station data from a statewide data set. DayVMTFraction Statewide default daily fractions developed by IN DOT using an analysis of permanent count station data from a statewide data set. HourVMTFraction Statewide default hourly fractions developed by IN DOT using an analysis of permanent count station data from a statewide data set. Average Speed avgSpeed National defaults

. Distribution (% Distribution ofVHT in each 5 mph speed bin) Road Type roadType Calculated from local VMT data. Use travel demand model Distribution Distribution base year distributions for all years

. (VMT by 5 MOVES Road Types) Age Distribution sourceTypeAge Local age distributions developed from vehicle registration (Vehicle Distribution data for source types 21, 31 , and 32

. Default MOVES age Population by distributions for all other source types

. Age ofVehicle) Ramp Fraction RoadType Based on local travel demand model.

Meteorology ZoneMonthHour MOBILE6 Summer Met Data MOBILE6 12 month Met Data Converted to MOVES format Data Converted to MOVES format and averaged to annual meteorology Fuel(% of FueiFormulation MOVES Defaults Market Share by FueiSupply Lake County MOVES Lake County MOVES Fuel Type) Defaults for Summer (check Defaults for annual (check if ifvaries among counties) varies among counties) 1/M Program IMCoverage Consistent with current locaii/M ProgramAppendix B
Vehicle Aoe Distributions for Lake andP otter Counties: Source Types aaeid 11 21 31 32 41 42 43 51 52 53 54 61 62 0

..... 0,2.1_09690540**.Q.0_26_7.~70941**__, 0.0145061143 0.0355122377 _0.0643023355 0.0545743076 0.()_62222_06:43_ 0.0494240(90

. 0_,0588526,168 0.0787544027 0.0615095870

.. 0.0535634660 0.0670845256 1 0.1921154969 0.0530181832 0.0500664299 0.0734065149 0.0626728412 0.0531913309 0.0606452875 0.0481716155 0.0573612230 0.0767586735 0.0599508636 0.0535634660 0.0670845256 2

. 0.1573471585 0.0665539321

__**0.058207~781** 0.0786470016 0,0624853859 0,0530322328 0,0604638952 0.0480275345 0.0571896519 0.0765290827- 0.0597715492 0,0541045093 0,087762:1447 3 0.1359771581 0.0610324714 0.0519847618 0.0656648868 0.0624229593 0.0529792497 0.0604034894 0.0479795509 0.0571325186 0.0764526251 0.0597118340 0.0575579884 0.0720873878 4

.. 0.1058454735 0:0659801258 0.0780550961 0.0793616134 0.0617369906 _0.0523970560 0.0597397140. 0,047.4523026 0.0565046834 0.0756124785 0.0590556596 0.0564182312 0.0706599203 5 0.0750909142 0.0645627102 0.0733914482 0.0732874129 0.0559170498 0.0474575929 0.0541080614 0.0429789769 0.0511779950 0.0684845018 0.0534884926 0.0489290859 0.0612802835 6 0.0476805323 0.0608386692 0.0747132670 0.0647716220 0.0468365056 0.0397508123 0.0453212873 0.0359994879 0.0428670388 0.0573630896 0.0448023279 0.0366034411 0.0458432683 7 0.0331026886 0.06493891_43

__ 0.0806648410 0.0721559442 0.0425786431 0.0361370941 0.0412011709 0.0327268079 0.0389700355 0.0521482660 0.0407293873 0.0340742206 0.0426755959 8 0.0197278356 0.0649997150 0.0643827445 0.0597693392 o:0468268516 0,0397_426124 0.0453119367 0.0359920640 0.0428582007 0,0573512681. 0.0447930981 0.0358093100 ·o.o44S486759 9 0.0118473747 0.0677129448 0.0689108213 0.0689004903 0.0534377006 0.0453533365 0.0517089150 0.0410733035 0.0489087688 0.0654479137 0.0511168252 0.0526288382 0.0659139597 10 0.0053251777 0.0607512683 0.0648030151 0.0588165234 0.0532712252 0.0452120443 0.0515478328 0.0409453420 0;0487584067 0.0652440247 0.0509575859 0.0624520143 0.0782168041 11 0.0025378610 0.0524367768 0.0558146471 0.0510748953 0.0407951886 0.0536203440 0.0411075833 0.0313560350 0.0391491717 0.0523881239 0.0302.729398 0.0478258601 0.0598985955 12 0.001301.1470 0.0529801828 0.0501138798 0.0424003017 _-D.033192.4560 0.0489936472 _0.0382933197 0.0255124310 O.-D294483131 0.0394065607_ -_0.0466101866 0.0389128550 0.0487354179 13 0.0006124019 0.0425262678 0.0386377810 0.0326140898 0.0277347637 0.0456089741 0.0333751020 0.0545980574 0.0316399801 0.0194774783 0.0291673253 0.0325145854 0.0462990441 14 0.0002476898 0.0448138930**0.039003823~** 0.03305_D7970 0.0364294706 o.o3m45681 0.0430863640 0.0632656498 0.0364439725 0,0194691525 0:0347804437 0.0;427077419 0.04620-y:2388 15 0.0001527705 0.0327297600 0.0357704509 0.0282867181 0.028351_1969 0.0332950401 0.0210164622 0.0395649332 0.0357887614 0.0311848083 0.0335202065 0.0332372597 0.0300444032 16

.. 0.0000668536 0.0270600977 0.02440958(6,

.. _O,Q_1967}6756 0,0235884296 0.0279132162 0.0253671498

.. _0.0341"566540 0.0259987277 0,0230196849 0.02331,51075 0.0276536739 0.0230524492 17 0.0000299603 0.0197450172 0.0162482037 0.0135180737 0.0175637044 0.0244970846 0.0206833627 0.0146346390 0.0197956396 0.0052258132 _0.0206748599 0.0205906442 0.0138452217 18 0.0000127409 0.0_157_20_7729 {).0129944958 0.0106794767 0,0201,192241 0.0250480695 0.0266888558 0.0401958334

-0.01937_40288 0,00372121,59 ' _0.0155464816 0.0235865809" .0.0100066460 19 0.0000055369 0.0109327203 0.0097340094 0.0083371380 0.0225790392 0.0366610768 0.0301447753 0.0342277190 0.0227335396 0.0175775477_ 0.0203628520 0.0264703224 0.0098603738 20 0.0000022027 0.0097167069 0.0096594452 0.0078607301 0.0226407923 0.0281971934 0.0173882093 0,0270081845 .0.0289395633 0.0183874556 0.0265944575 0.0265427135 0.0095755112 21 0.000001DO} 5 0.0060838669 0.0075445351

..0.0053595887_ 0.0212965445 0.0224413685

__0.0209032932 0.0367430589 0.0255089927 0.0121624816

..0.0238465850 0.0249667984**0.00834025~.1** 22 0.0000005320 0.0047196519 0.0043586128 0.0031760526 0.0221366577 0.0207614938 0.0211741003

__ 0.0294241579 0.0211707159 0.0029207200 0.0232916866 0,0259516972 0.0021970287 23 0.0000002372 0.0034656381 0.0032604864 0.0028187467 0.0187753208 0.0176845935 0.0186862600 0.0367365508 0.0255742899 0.0006595597 0.0173635700 0.0220110680 0.0022815392 24 0.0000001072 0.0034048375 0,0028063230 0.0021239852 0.0165801584 0.0153441343 0.0162223474 0.0195371739 0.0181341022 0.0013228019 0.0186391363**0.019437588~** 0,0028947085 25 0.0000000515 0.0020672227 0.0018979963 0.0014292237 0.0130484803 0.0119613578 0.0125269842 0.0202862884 0.0101534224 0.0013255722 0.0189070434 0.0152949162 0.0014963357 26 0.0000000201, 0.0015238168 o:oo101ooo52 0.000913115_1 0.0052066606 0.0114707358 0.0046276161 0.0058785937 0.0158244798 _0.0000000000 0.0123859355 0.0061039775**0.000305~544** 27 0.0000000084 0.0007410082 0.0008269841 0.0008535641 0.0044375500 0.0062552616 0.0034269422 0.0066192300 0.0082431519 0.0005853113 0.0073123264 0.0052023202 0.0002365920 28 0.0000000046 0.0008208090 0,.0006507416 0.0006550608 0.0038534093 0.0027153367 0.0040227141 0.0058648852 0.0078447522 0.0004224309 _.0.00401_991_56

__ 0.0045175071 0.0007539156 29 0.0000000027 0.0007486082 0.0002846994 0.0002382039 0.0050202650 0.0073813428 0.0039557847 0.0014702211 0.0082910352 0.0000000000 0.0005297244 0.0058854602 0.0002483418 30 0.0000000060 0.0106363170 0.0052872753 0.0046449769 0.0041641999 0.0025473919 0.0046291194 0.0021486392 0.0093642209 0.0005969550 0.0069720059 0.0048818593 0.0002641374

Source: Quality assured vehicle registration data for the combined Lake County and Porter County area for source types 21, 32, and 32, MOVES2010a default distributions for all other source types.Appendix C Lake and PorterCounties Vehicle Po utations: Vehicle Populations

AnnualPopulations 2008 2009 2010 2011 2012 2013 2014 2015 2016 11

12,247 12,330 12,414 12,499 12,584 12,670**12,75~** 278,418 280,318

- 282,231 284,156 286,095 288,048 _290,013

__ 291_,992 31 32

"159,21,4 48,746

160,301 -49,078 161,395 49,413 162,496 49,"(51 163,605 50,090 164,721 50,432 165,845 50,7,76 _166,977

- 51,122 J_68,n6___

_ ___5JA?.t._ 41

296_., 298 301, 303 306 308 311 314 2017 _,,J2,8¥

... 12,931 13,020, 293,984 169,263 51,822 316 2018 _,295,£190_ ''

- ..J?:0.-4t8.'_- "'" ,52,,1_!:6

___ .**_:_3~_9,** 2019 _13,108**------------·298,0~0_._** ,_. ____ ,1!_1.581

__, __ "' 52,532

__ 2020 13,198-

__ 300,044, ''''"'' .J72,752**"''_52,89~** 2021" '''''- ""' "'-'-**~13,288 '-'-302,09~,**  173,931 53,25_1

- 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 ,13,379
v '_304,152_

------- .. _,___306,228 13,562 308,317 13,654 310,421 13,748 13,841 ,13,936, !4,031 14,127 14,223 14,320 ' 14,418 1:4,5.16 14,615 14,715 14,815 14,916 15,018 15,121 312,539

...314,672

316,819 318,981 321.•158 323,349 325,556, 327,777_ 330,01.4 332,265, 334,533 336,815 339,11:4. 341,428 343,757 17_5,1)7 """'-'-'53,61,5"" _176,312

____________53,_981

__ 177,516.'._ 178,727 179,946 181,174 182,410 183,655. ' _184,908

_186,170- 187,440_" _1_88,719

__ 190,007 ' 191,304 192,609 54,349 54,720 55,093 55,469 55,848 56,229 56,612 56,999 57,388 57,779 '58,1?:4

58,571 58,9,70 ,1,93,923,

-- ----- 59,373 195,247 59,778**196,5~9** 197,920 322 324, 327 330 ._332, 305 338 341 344 346 349 352 355 "358 361 364 367 370 373

.. 376 159 160 161 163' 164 166 167

... 1.68,,

170 _171_ 173

_ 17:4_ _175 Jn:. 178 180 181 183 184 186 187 _189, 191 192

.. 194 195 197 199 200 202 204 205 2,005 2,021 2,038 2,055 2,072 2,089 2,107 2,124 2,142 2,160

__2,178 '

2,_:196_-

_2,21.4

.._

2.233 2,251 2.270

__ 2,289 2,308 2,327 2,347 2,366 2,386 2,406 2,426 2,446 ' 2,467 2,487 2,508 2,529 2,550 2,571 2,593 2,614 58 58 59 59 60 60 61 61 62 62 63 63



### ____:64

____ 64

_,_,___ 65_

__66

66 67 67 "68 68 69 69 70 .71. 71

-7,2 72 73 74 74 75 75 3,634 3,664 3,694 3,725 3,756 3,788 3,819 3,851

-- 3,883

____ 3,915

4,048
'-

.

.:4.08_1 _4,_1_1_5

--**4,~50** 4,184 _4,219' 4,254 4,290 4,325 4,36_1 4,398 _4,434: 4,471 "' _4,509

4,546 _4,584 4,622 _4,661 4,700 4,739 53

434 437 441

__ 445 448 452 456 460 _A6_3

..

483 487 491 485 499 504 508 512 516 521 525 529 534 538,, 543 547 _552 556 561 566 -- _83_1 838 "345 852 859 867 874 881 888, 896

926 '934_, "942

,949 957 965 973 982 990 998 1,006 1,01,5 1,023 1,032 1,040 1,049 1,058"' 1,066 1,075 1,084 6,485, 6,539 6,593 6,648 6,703 6,759 6,816 6,872- .,6,93_0

..

6,987 62

7,399 7,461 7,523 7,586 7;649 7,713 7,777 7,842 7,£107_ 7,973 8,03_9, 8,106 8,)74 7,223''**"""'""8,2~2** ...

. '

. " ,7,283.,,,

..,8,311 7,344 7,405 7,467 (,529_ 7,592 7,655 7,719 7,783 7,848 (,91_3 7,979 8,0:¢.6, 8,113 8,181 "8,249 8,317 8,387 8,457 .,,..**,8.38~-** 8,450 8,520 _8,591

.. 8,663 8,735 8,808 8,881 8,955 9,030 9,105 9,181 9.257 9,334 9,412 9,490 9,570 9,649 Source: Quality assured vehicle registration data for the combined Lake County and PorterCounty area for source types 21, 32, and 32, MOVES2010a default mileage accumulation rates for all other source types. Population growth factors are taken from local socioeconomic data forecasts.Appendix D
Lake and Porter Counties Meteorological Data: Ozone PM2.5 monthiD zoneiD HouriD temperature reiHumidity monthiD zoneiD HouriD temperature reiHumidity 7 180890 1 67.0 88.0 4 180890 1 43.7 100.0 7 180890 2 65.8 91.8 4 180890 2 42.5 100.0 7 180890 3 64.9 94.9 4 180890 3 41.6 100.0 7 180890 4 64.2 97.2 4 180890 4 41.0 100.0 7 180890 5 63.6 99.0 4 180890 5 40.5 100.0 7 180890 6 63.0 100.0 4 180890 6 39.9 100.0 7 180890 7 62.5 100.0 4 180890 7 39.4 100.0 7 180890 8 62.9 100.0 4 180890 8 39.8 100.0 7 180890 9 65.5 92.6 4 180890 9 42.3 100.0 7 180890 10 69.7 80.2 4 180890 10 46.2 97.2 7 180890 11 74.0 69.4 4 180890 11 50.3 83.5 7 180890 12 77.7 61.4 4 180890 12 53.8 73.5 7 180890 13 80.9 55.3 4 180890 13 56.8 65.8 7 180890 14 82.6 52.2 4 180890 14 58.5 62.0 7 180890 15 83.2 51.2 4 180890 15 59.0 60.7 7 180890 16 83.4 50.9 4 180890 16 59.2 60.3 7 180890 17 83.0 51.6 4 180890 17 58.8 61.2 7 180890 18 81.7 53.7 4 180890 18 57.6 63.8 7 180890 19 79.7 57.5 4 180890 19 55.7 68.6 7 180890 20 77.0 62.9 4 180890 20 53.1 75.3 7 180890 21 74.3 68.8 4 180890 21 50.5 82.7 7 180890 22 71.9 74.5 4 180890 22 48.3 89.9 7 180890 23 70.3 78.8 4 180890 23 46.7 95.4 7 180890 24 68.6 83.4 4 180890 24 45.2 100.0
Source: Mobile 6.2 reported meteorological data from Air Quality Conformity Determination Between the 2040 Regional Transportation Plan. the Fiscal Year2012 to 2015 Transportation Improvement Program. and the Indiana State Implementation Plan forAir Quality. Appendix E. developed by NIRPC in June. 2011 converted using EPA data converter.Appendix E
Indiana Default VMTDistributions by Vehicle Type and Road Type:

Road Light Duty Single Unit Combination Type Motorcycle Passenger Car Truck Bus Truck Truck 2 0.007033832 0.506408086 0.163786651 0.004174166 0.007773053 0.310824213 3 0.001733929 0.659751199 0.225767175 0.000793168 0.010963315 0.100991214 4 0.004429643 0.424581084 0.299243052 0.005271096 0.008735204 0.257739921 5 0.002785022 0.702754695 0.245240087 0.001402085 0.009764356 0.038053756

Source: Statewide averages developed from Indiana Department ofTransportation traffic count data for all road types except for Road Type 4. Distributions for Road Type 4 taken specifically from 1-80 in Gary (count station 4000) as per ICG consensus to represent higher than average truck traffic in Gary.Appendix F
Indiana Default Hourlv Distribution Factors for Road Tvoe 2- RuralRestrictedAccess: Source Types Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 1 0.0125903247 0.0101219844 0.0084967341

.. 0.0084967341

. .. 0.0254913340 0.0254913340 0.0254913340 0.0126607"(89 0.0126607789 0.0126607789 0.0126607789 0.0197906895 0.0197906895 2 0.0104070951 0.0069241973 0.0066421955 0.0066421955 0.0269500431 0.0269500431 0.0269500431 0.0114617645 0.0114617645 0.0114617645 0.0114617645 0.0212124099 0.0212124099 3 0.0098043179 0.0056567534 0.0061275627 0.0061275627 0.0231103443 0.0231103443 0.0231103443 0.0107741941**~** 0.0107741941 0,0107741941 0.0107741941 0.020_1_622890**~** .0.0201622890 4 0.0140329469 0.0069658232 0.0084286563 0.0084286563 0.0234460042 0.0234460042 0.0234460042 0.0128724692 0.0128724692 0.0128724692 0._012872_4:692 0.0213065902 0.0213065902 5

.... 0.0165212405 0.0100941552 0.0134026652**.0.0~34026652** 0.0244090660 0.0244090660 0.0244090660 0.0174195788 0.0174195788 0.0174195788 0.0174195788 0.0250478552

..0.025047_8552 6 0.0312047458 0.0241732202 0.0316551315 0.0316551315 0.0322923692 0.0322923692 0.0322923692 0.0261005783 0.0261005783 0.0261005783 0.0261005783 0.0304976568 0.0304976568 7 0,0399082603 0.0390974746 0.0481531313 0.0481531313 0,0302344914 0.0302344914 0.0302344914 0.0420450985 0.0420450985 0.0420450985 0.0420450985 0.0339947725 0.0339947725 8 0.0482864956 0.0528758381 0.0535145983 0.0535145983

... 0.038607_1_681 0.0386071681 0.03860?1681

____ 0.0556119122 0.0556119122 0.0556119122 0.0556119122 0.0383435322 0.0383435322 9 0.0472316355 0.0493101459 0.0541442978 0.0541442978 0.045414477.3 0.0454144773 0.0454144773 0.0647383083 0.0647383083 0.0647383083 0.0647383083 0.0447350945

- 0,0447350945 10 0.0521292001 0.0488627065 0.0570682751 0.0570682751 0.0533197396 0.0533197396 0.0533197396 0.0711110358 0.0711110358 0.0711110358 0.0711110358 0.0517738130 0.0517738130 11 0.0559204481 0.0513700269 0.0575854739 0.0575854739 0.0576707709 0.0576707709 0.0576707709 0.0730230234 0.0730230234 0.0730230234 0.0730230234 0.05577_12484 0.0557712484 12 0.0572822100 0.0533048469 0.0582753930 0.0582753930 0.0549541212 0.0549541212 0.0549541212 0.0731872952 0.0731872952 0.0731872952 0.0731872952 0.0571435296 0.0571435296 13 0.0592008057 0.0551586141 0.0599414146 0.0599414146 0.0541541840 0.0541541840 0.0541541840 0.0739324454 0.0739324454 0.0739324454 0.0739324454 0.0567014536 0,0567014536 14 0.0615145144 0.0595500442 0.0635019874 0.0635019874 0.0570747392 0.0570747392 0.0570747392 0.0746488056 0.0746488056 0.0746488056 0.0746488056 0.0567500887 0.0567500887 15 0.0647783324 0.0662712693 0.0683897966 0.0683897966 0.0551925339 0.0551925339 0.0551925339 0.0704234655 0.0704234655 0.0704234655 0.0704234655 0.0578234055

.. 0,0578234055 16 0.0713500739 0.0764876319 0.0772110428 0.0772110428 0.0551956709 0.0551956709 0.0551956709 0.0628601912 0.0628601912 0.0628601912 0.0628601912 0.0577540296 0.0577540296 17 0.0754978425 0.0847_160034 0.0792545794 0.0792545794 0.0557979766

.. 0.0557979766

..0.0557979766 0.0534712990 0.0534712990 0.0534712990 0,0534712990 0.0562910814 0,0562910814 18 0.0693763461 0.0821220539 0.0693254052 0.0693254052 0.0501011685 0.0501011685 0.0501011685 0.0436895095 0.0436895095 0.0436895095 0.0436895095 0.0527021980 0.0527021980 19 0.0542187052 0.0620082513 0.0521045300 0.0521045300**~** 0.0459665909 0.0459665909 0.0459665909 0.0363413126 0.0363413126 0.0363413126 0,0363413126 0.0502215100 0.0502215100 20 0.0432143461 0.0459015588 0.0390794599 0.0390794599 0.0462959768 0.0462959768 0.046295_9768_ 0.0312048570 0.0312048570 0.0312048570 0.0312048570 0.0467116534 0.0467116534 21 0.0358137860 0.0372595462

.. 0.0311015284 0.0311015284 0.0418602463 0.0418602463 0.0418602483 0.0261242877 0.0261242877 0.0261242877 0.0261242877 0.0421311043 0.0421311043 22 ········· 0.0294294934 0.0312744978.. 0.0249803003 0.0249803003 0.0366496745 0.0366496745 0.0366496745 0.0215822587 0.0215822587 0.0215822587 0.0215822587 0.0381387483

.. 0.0381387483 23 0.0223450238 0.0235734666 0.0182964081 0.0182964081 0.0347517842 0.0347517842 0.0347517842 0.0189759266 0.0189759266 0.0189759266 0.0189759266 0,0342326572 0.0342326572 24 0.0179418099 0.0169198902 0.0133194323 0.0133194323 0.0310595247 0.0310595247 0.0310595247 0.0157396039 0.0157396039 0.0157396039 0.0157396039 0.0307625891 0.0307625891

Source: Statewide averages developed from Indiana Department ofTransportation traffic count data.Indiana DefaultHourlv Distribution Factors for Road Tvoe 3- Rural UnrestrictedAccess: Source Types Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 1 0.0040299464 0.0073183989 0.0054636028 0.0054636028 0.0036998387 0.0036998387 0.0036998387 0.0043986387 0.0043986387, 0,0043986387 0.0043988387 0.0164160879 0.0164160879 2 0.0040299464 0.0041131835 0.0034619242 0.0034619242 0.0045536477 0.0045536477 0.0045536477 0.0041872686 0.0041872686 0.0041872686 0.0041872686 0.0167510731 0.0167510731 3 0.0041817017 0.0032797517 0.0030691885 0.0030691885 0.0046485153 0.0046485153 0.00464851_53

____ 0.0073497934 0.0073497934 .-.0.0073497934 0.0073497934 0.0165479051 0.0165479051 4 0.0053114356 0.0057247729 0.0048082254 0.0048082254 0.0039844417 0.0039844417 0.0039844417 0.0084039684. 0.0084039684 0.0084039684 0.0084039684 0.0195836328 0.0195836328 5 0.0140963815 0.0151258840 _0.0143177758 0.0143177758 0.0082534864 0.0082534864 0.0082534864

... O.Q153176438 0.0153176438

.. 0.0153176438 0.0153176438 0.0258467673 0.0258467673

__,_ 6 0.0292719118 0.0316782840 0.0354335195 0.0354335195 0.0293141068 0.0293141068 0.0293141068 0.0299744215 0.0299744215 0.0299744215 0.0299744215 0.0344245647 0.0344245647

.... 7 0.0397598894 0.0468485516 0.051,6314034 0.0516314034 0.0496157860 0.0496157860 0.04961_5(860

__ . 0.0557776279 0.0557776279 0.05577_76279 0.0557776279 0.0440469233 0.0440469233 8 0.0448183995 0.0633910409 0.0636260878 0.0636260878 0.0768428043 0.0768428043 0.0768428043 0.0778885464 0.0778885464 0.0778885464 0.0778885464 0.0512793380 0.0512793380 9 0.0370114322 0.0460357746 0.0558633273 0.0558633273 0.1049236315 0.1049236315 0.1049236315 0.0853025536 0.0853025536 0.0853025536 0.0853025536 o:o566238265 0.0568238265 10

___ --------- 0.0416989849 0.0427840868 0.0547852386 0.0547852386 0.1065363817 0.1065363817 0.1065363817**0.08797277~** 0.0879727734 0.0879727734 0.0879_72_7_73_4:

___ 0.0599756501 0.0599756501 11

..... _0.0509391967 0.0444183487

__ 0.0568454275 0.0568454275 0.1186794422 0.1186794422 0.1186794422 0.0886336394 0.0886338394 0.0886336394 0.0886336394 0.0633505956 0.0633505956 12

.... 0.0563855259 0.0512966366 0.0618918527**0.06~8918527** 0.1154539418 0.1154539418 0.1154539418 0.0859045570 0.0859045570 0.0859045570 0.0859045570 0.0635864154 0.0635864154 13 ,0.0638721209 .0.0537246907 0.0610818211 0.061081821_1 0.0999905132 0.0999905132 0.0999905132 0.0858537212 0.0858537212 0.0858537212 0.0858537212 0.0644099711 0.0644099711 14 0.0708697265 0.0545001954 0.0632013074 0.0632013074 0.0864244379 0.0864244379 0.0864244379 0.0852196109 0.0852196109 0.0852196109 0.0852196109 0.0637040231 0.0637040231 15
····· 0.0774626513 0.0656899700:

___ 0.0681384267

...**0.06813~267** 0.0592922873**0,05_92922873:_~** 0.0592922873' 0.0774551039 0.07,74551039

. ...0.0774551039' 0.077_4551_039

____ _o_.0_6_096579_13

.. 0.0609657913 16 0.0849155229 0.0775959037 0.0765115831 0.0765115831 0.0295038421 0.0295038421 0.0295038421 0.0663381066 0.0663381066 0.0663381066 0.0663381066 0.0570058311 0.0570058311 1;: 0.0916096179 o:os71890696**0.079601~_()5** ___ 0.07960,1;4405 0,0317806660

__ 0.0317806660 0.0317806660 0.0433522764,_ 0.0433522764 0.0433522J64 0.0433522764

. :0.0517440242 o.65:t?44o242:" 18 0.0855899909 0.0856725476 0.0737419189 0.0737419189 0.0184043260 0.0184043260 0.0184043260 0.0290727541 0.0290727541 0.0290727541 0.0290727541 0.0467760851**0.046~7_60851"'** 19 0.0685259502 0.0656330958 _0.0545272751. 0.0545272751 0.0120481928

- 0.0120481_928

...**0.012048~_928** 0.0187744B15 0.0187744815 0.0187.?:44815

..O.OW1:744815_ 0.0413186688 0.0413186686 20 0.0503658989 0.0457301992 0.0390975413 0.0390975413 0.01_1_858<1-575. 0.0_118584575 0.0118584575 0.0129711680**0.012_971168~** 0.0129711680 0.0129711680 0.0364_127:07.8. 0.0364127078 ,21,. 0.0353421239 0.0400621944 0.0294058171 0.0294058171 ,0.00967_65Q13 "_0.00967S5013 0.0096785013 o:o106166S56 _0.0106_1_66656,. 0.0.1061,66656**0.0106~66656 "0.03188829~,5** **~** 0.03)8882915 22

...**0.0217853~68** 0.0289018238 0.0218457686 0.0218457686 0.006_1663979 0.0061663979 0.0061663979 0.0079972816 0.0079972816 0.0079972816

.. 0.0079972816 0.0290264055 0.0290264055 23 0.0119380838 0.0205028665 0.013'6731866**0.0~36731866** 0.0048382506 0.0048382506 0.0048382506 0.0061564888. 0.0061564888 0.0061564888 0.0061564888 0.0255574344 0.0255574344. 24 0.0061882440 0.0127827290 0.0079763402 0.0079763402 0.0035101034 0.0035101034 0.0035101034 0.0050809093 0.0050809093 0.0050809093 0.0050809093 0.0225579868 0.0225579868

Source: Statewide averages developed from Indiana Department ofTransportation traffic count data.Indiana Default Hourly Distribution Factors for Road Type 4 -Urban RestrictedAccess: Source Types Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 1 0.0114836630 0.0104500369 0.0090397680 0.0090397680 0.0186488577 0.0186488577 0.0186488577 0.0090968023 0.0090968023 0.0090968023 0.0090968023 0.01941731_19 0.0194173119 2 0.0071800855 0.0062500477 0.0056304309 0.0056304309 0.0163411454 0.0163411464 0.0163411464 0.0080102618 0.0080102618 0.0080102618 0.0080102618 0.0198708197 0.0198708197 3

....... 0.0063691205 0.0049689741 0.0046493622 0.0046493622 0.0157775876 0.0157775876 0.0157775876 0.0078361983 0.0078361983 0.0078361983 0.0078361983 0.0186489893 0.0186489893 4 0.0073777516 0.0058427101 0.0058801326 0.0058801326 0.0161766037 0.0161766037 0.0161766037 0.0086827231 0.0086827231 0.0086827231 0.0086827231 0.0198231326 0.0198231326 5 0.0108139353 0.0098545059 0.0108999000 0.010&199000 0.0221330492 0.0221330492 0.0221330492 0.0117453229 0.0117453229 0.0117453229 0.0117453229 0.0232515449 0.0232515449

.... .. 6 0.0235457656 0.0231603609 0.0263517526 0.0263517526 0.0299755654 0.0299755654 0.0299755654 0.0204013312 0.0204013312 0.0204013312 0.0204013312 0.0294638153 0.0294638153

...... 7

.... 0.0461747881 0.0495085217 0.0542414568 .0.0542414568

. 0.0393812372 _. 0.0393812372 0.0393812372 0.0435263184 0.0435263184 0.0435263184 0.0435263184 0.0375553768 0.0375553768 8 0.0567226756 0.0788353145 0.0674512195 0.0674512195 0.0503870867 0.0503870867 0.0503870867 0.0659533819 0.0659533819 0.0659533819 0.0659533819 0.0446175773 0.0446175773 9 0.0493171440 0.0638279223 0.0614111771 0.0614111771 0.0589556475 0.0589556475 0.0589556475 0.0756333178 0.0756333178 0.0756333178 0.0756333178 0.0515843704 0.0515843704 10 0.0406144957 0.0466481655 0.0536303211 0.0536303211 0.0581555587 0.0581555587 0.0581555587 0.0790728466 0.0790728466 0.0790728466 0.0790728466 0.0553194565 0.0553194565

..... .. 11 0.0415130748 0.0428102606 0.0512594850 0.0512594850 0.0616027281 0.0616027281 0.0616027281 0.0824723032 0.0824723032 0.0824723032 0.0824723032 0.0583081277 0.0583081277 12 0.0465166969 0.0452333632 0.0529793024 0.0529793024 0.0644246353 0.0644246353 0.0644246353 0.0820640679 0.0820540679 0.0820540679 0.0820540679 0.0589378233 0.0589378233

. 13 0.0517959830 0.0478487216 0.0547982766 0.0547982766 0.0637644078 0.0637644078 0.0637644078 0.0808088903 0.0808088903 0.0808088903 o:oso8os8eos 0.0575925555 0.0575925555 14 0.0566713893 0.0502151226 0.0576880799 0.0576880799 0.0625591325 0.0625591325 0.0625591325 0.0811795580 0.0811795580 0.0811795580 0.0811795580 0.0571667797 0.0571667797
.·· 15 .0.0671_882913 0.0580384620 0.0656779676 0.0656779676 _D,06.19482678

... 0,0619482678

.**_D,06~"9482678,**.. 0.0?95090490 0.0795090490 0.0795090490 0.0795090490 0.0573429674 0.0573429674 16 0.0810035452 0.0715596945 0.0786905659 0.0786905659 0.0609466141 0.0609466141 0.0609466141 0.0727723312 0.0727723312 0.0727723312 0.0727723312 0.0567213465 0.0567213465 17**0,08638~724** 0.0838541123 0.0821371575 0,0821371575 :0.0577256909

-- 0.0577256909 _D.0577256909 0,0563364761 0.0563364761 0.0563354761 0.0563364761 0.0551911545 0,0551911545 18 0.0843254717 0.0874512168 0.0756929494 0.0756929494 0.0510164625 0.0510164625 0.0510164625 0.0371719560 0.0371719560 0.0371719560 0.0371719560 0.0531125437 0.0531125437 19

.**0.06_4595~265_**.. 0.0604364374 0.0543673700 0.0543613700 0.0450990958 0.0450990958, 0,0450990958

.0.0249336618 0.0249336618 0.0249336618 0.0249336618 0.04871_9,9307**0.~87~99307** .. 20 0.0469536991 0.0424749554 0.0373951308 0.0373951308 0.0384927066 0.0384927066 0.0384927066 0.0188134711 0.0188134711 0.0188134711 0.0188134711 0.0432101938 0.0432101938 21

.... 0.0373781148 0.03532806SO 0.0293181427 0.0293181'427 0.0322318571 0.0322318571 0.0322318571**.·.o.o~_6244677_4** 0.016244677:4 0.0162446774. 0.016244677:4 0.0390319248 0.0390319248 22 0.0316564842 0.0313403787 0.0249971308 0.0249971308 0.0282046747 0.0282046747 0.0282046747 0.0142456600 0.0142456600 0.0142456600 0.0142456600 0.0355118446 0.0355118446 23 0.0245992722 0.0251562568 0.0203505544 0.0203505544 o:o242700475 0.0242700475 0.0242700475 {1,0124474209 0.0124474209 0.0124474209 0.0124474209 0.0317711657.

- 0,0317711657 24 0.0198157539 0.0189063955 0.0154623663 0.0154623663 0.0217813392 0.0217813392 0.0217813392 0.0110419727 0.0110419727 0.0110419727 0.0110419727 0.0278292477 0.0278292477
Source: Statewide averages developed from Indiana Department ofTransportation traffic count data.I d" D fa H I D" "b n 1ana 

# • U// ounv J 1stn ut10n F ct n b 

### u a ors orRoad Tvoe 5 -Ur. an nrestrictedAccess: Source Types Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 1 0.0092279794 0.0085268711 0.0060669694 0.0060669694 0.0126828270 0.0126828270 0.0126828270 0.0037158531 0.0037158531 0.0037158531 0.0037158531 0.0106396358 0.0106396358 2 0.0055316691 0.0048527626 0.0037675180 0.0037675180 0.0099485186 0.0099485186 0.0099485186 0.0038117041 0.0038117041 0.0038117041 0.0038117041 0.0124309233 0.0124309233 3 0.0047273286 0.0037895145 0.0033129405 0.0033129405 0.0069482800 0.0069482800 0.0069482800 0.0044165887 0.0044165887 0.0044165887 0.0044165887 0.0121505035 0.0121505035 4 0.0047017359 0.0044201159 0.0042394230 0.0042394230 0.0113599945 0.0113599945 0.0113599945 0.0056282193 0.0056282193 0.0056282193 0.0056282193 0.0144699998 0.0144699998 5 0.0081859928 0.0079416389

.... 0.0087215410 0.0087215410 0.0153898606 0.0153898606 0.0153898606 0.0086545038 0.0086545038 0.0086545038 0.0086545038_- 0.0210508569 0.0210508569 6

. 0.0225361588 0.0203863353 0.0238668712 0.0238668712 0.0256929528 0.0256929528 0.0256929528 0.0191822890 0.0191822890 _0.01_91822890 0.0191822890 0.0299165403 0.0299165403 7 0.0435184779 0.0478282898 0.0541952158 0.0541952158 0.0448331117 0.04483311_17 0.0448331117 0.0418068371 0.0418068371 0.041806837_1_ 0.0418068371 0.0436775030 0.0436775030 8 0.0602121997**0.0~21456866** 0.0675347974 0.0675347974 0.0691895946 0.0691895946 0.0691895946 0.0731482386 0.0731482386 0.0731482386 0.0731482386 0.0588646976 0.0588646976 9

.. 0.0556311148 0.0567013667 0.0643660182 0.0643660182 0.0747059425 0.0747059425 0.0747059425 0.0880926125 0.0880926125 0.0880926125 0.0880926125 0.0640862836 0.0640862836 10 0.048582167_0_ 0.0466493163 0.0603283916 0.0603283916 0.0803995772 0.0803995772 0.0803995772 0.0921313810 0.0921313810 0.0921313810 0.0921313810 0.0680944168 0.0680944168 11

.. 0.0495985610 0.0468148434 0.0590657789 0.0590657789 0.0774061573 0.0774061573 0.07_74061573 0.0943973720 0.0943973720 0.0943973720 0.0943973720 0.0703404942 0.0703404942 12 0.0573056055 0.0516032787 0.0615645883 0.0615645883 0.0753332651 0.0753332651 0.0753332651 0.0911430924 0.0911430924 0.0911430924 0.0911430924 0.0698309800 0.0698309800 13 0.0607752380 0.0555323143 0.0626732860 0.0626732860 0.0739763390 0.0739763390 0.0739763390 0.0895629476 0.0895629476 0.0895629476 0.0895629476 0.0685413889 0.0685413889 14 0.0609214817 0.0562211160 0.0629887267 0.0629887267 0.0779993863 0.0779993863 0.0779993863 0.0912650000 0.0912650000 0.0912650000 0.0912650000 0.0671175363 0.0671175363 15 0.0649907135 0.0607579027 ''0.0667909366 0.0667909366 0.0761037810 0.0761037810 0.0761037810, 0.0905726397 0.0905726397 0.090572639( 0.0905726397 0.0651260461

.. 0.0651260461 16 0.0724418316 0.0715477952 0.0751790074 0.0751790074 0.0728035185 0.0728035185 0.0728035185 0.0775387708 0.0775387708 0.0775387708 0.0775387708 0.0605241028 0.0605241028 17 0.0773519648 o:o803647101

.. 0.0757034489 0.0757034489 0.0526405510' 0.0526405510 0.0526405510 0.0464337395 0.0464337395 0.0464337395 0.0464337395 0.0557685235 0.0557685235 18 0.0770777578 0.0832250581 0.0684911688 0.0684911688 0.0347686748 0.0347686748 0.0347686748 0.0260342365 0.0260342365 0.0260342365 0.0260342365 0.0506461891 0.0506461891 .19 0.0635977420 0.0637849687

- _0.0526386278 0.0526386278 0.0285090860 0.0285090860 0.0285090860 O.OF3341336 0.017334J336 0.0173341336 0.01}3341336 0.0402747366 0.0402747366 20 0.0483079600 0.0462284324 0.0372839274 0.0372839274 0.0220585728 0.0220585728 0.0220585728 0.0112536468 0.0112536468 0.0112536468 0.0112536468 0.0310667712 0.0310667712 21 0.0383158572 0.0386568197 0.0292289942 0.0292289942 0.0174082029 0.0174082029 0.0174082029 0.0076615624 0.0076615624 0.00(6615624 0.00"?_661_5624 ,, '0.0268533367 0.0268533367 22 0.0305027859 0.0325107827 0.0236169348 0.0236169348 0.0137124544 0.0137124544 0.0137124544 0.0062358957 0.0062358957

..... 0.0062358957 0.0062358957 0.0231915644 0.023191564:--

.. 23

... 0.0214502991 0.0236017051 0.0170601049 0.0170601049 0.0139442910 0.0139442910 0.0139442910 0.0053276381 0.0053276381_

. 0.0053276381 o:oo53276381 0.0193751364 0.0193751364 24 0.0145073780 0.0159083752 0.0113147831 0.0113147631 0.0121850602 0.0121850602 0.0121850602 0.0046510979 0.0046510979 0.0046510979 0.0046510979 0.0159618330 0.0159618330
Source: Statewide averages developed from Indiana Department ofTransportation traffic count data.AppendixG


### I d' D f. 

### It D 'I 

### 0' t 'b 

### I' F n**~ana** e au auv IS rJ U JOn actors: dayiD monthiD 2 5 1 0.2325411725 0.7674588275 2 0.2380547378 0.7619452622 3 0.2393402049 0.7606597951 4 0.2396052454 0.7603947546 5 0.2484757701 0.7515242299 6 0.2489743665 0.7510256335 7 0.2481153021 0.7518846979 8 0.2527028648 0.7472971352 9 0.2496078420 0.7503921580 10 0.2462808693 0.7537191307 11 0.2439742406 0.7560257594 12 0.2258784720 0.7741215280
Source: Statewide averages developed from Indiana Department of Transportation traffic count data.Appendix H
Indiana Default Monthlv Distribution Factors: monthiD monthVMTFraction 1 0.0733424010 2 0.0693661929 3 0.0827036024 4 0.0831789580 5 0.0891346903 6 0.0888150873 7 0.0907968617 8 0.0918542094 9 0.0854175366 10 0.0875162272 11 0.0812354405 12 0.0766387926
Source: Statewide averages developed from Indiana Department ofTransportation traffic count data.Appendix I
Lake and Porter Counties Ramp Fractions:

Road Tvpe 2 4 Ramp Fraction 0.79% 6.66%
Source: Analysis of VHT from the CMAP travel demand model.

# AppendixB

Lake and Porter Counties, Indiana, Maintenance Area Interagency Consultation Group Meeting Minutes/Summary

### This page left intentionally blank

### Interagency Consultation Group (ICG) Conference Call Minutes

For the MOBILE6.2 to MOVES MVEB Replacement Update Related to the Maintenance Plan for the Annual Fine Particles Standard for Lake and Porter Counties, Indiana ICG Conference Call Date and Time

• September 25, 2012 at IOam Eastern



### ICG Attendees

• Shawn Seals (IDEM), Linda McClure (IDEM), Patricia Morris (EPA), Steve Smith (INDOT), Greg Kalter (INDOT), Larry Heil (FHWA), and Bill Brown (NIRPC)



### ICG Discussion Topics and Conclusions I. For the Ozone MVEB Replacement submittal, various mobile source margins of safety were discussed. 

### A. After discussion, the consensus ofthe ICG was that as long as the a 15% mobile source margin ofsafety for VOC and NOx emissions does not result in
an exceedance ofthe all sources margins ofsafety, it was reasonable and appropriate for inclusion in MVEB replacement submittal.

2. For the PM2.s MVEB Replacement submittal, various mobile source margins of safety were discussed. 

### A. After discussion, the consensus ofthe ICG was that as long as the a 15% mobile source margin ofsafety for NOx and PM2

.5 

### emissions does not result in
an exceedance ofthe all sources margins ofsafety, it was reasonable and appropriate for inclusion in MVEB replacement submittal.



### B-1