Input data preparation for th e SMOKE-MOVES Integration Tool

1. Source Type Population 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 us ed. This database includes number of vehicles 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, tra ilers, motorcycles, buses and others in each county as explained on the Georgi a Department of Revenue website ( http://motor.etax.dor.ga.gov/ stats/renewalsstats.aspx ). Passenger Vehicles include Ambulances, Convertibles, Coupes, Hearses, Jeeps, Limousines, Mixers, Motor Homes, Multi-Purpose Vehicles, Roadsters, Station Wagons, Touring Cars, Vans, 2 Doors, 3 Doors, and 4 Doors. Tr ucks include Truck Tractors, Trucks, and
Wreckers.

2) Methodology The Polk’s data were summarized by 16 ve hicles types in each county and then grown to 2007 using different growth fact ors by vehicle types (Table 1). The number of HDBS, HDBT and MC in Polk’s data is comparable to Georgia registration data (Table 2 and Table 3). Therefore, the numbers of HDBS and HDBT were grown to 2007 by multiplying ratios of the number of buses in Georgia motor vehicle registration da ta in 2007 and 2003. The number of MC was grown to 2007 by multiplying ratios of the number of motor cycles in Georgia motor vehicle registration data in 2007 and 2003. The number of the rest of vehicle types was grown to 2007 by mu ltiplying ratios of human population in 2007 and 2002. The Georgia motor vehicle re gistration data were not used for these vehicle types due to the difficulty to match the vehicle type used in Georgia motor vehicle registration data to the 16 vehi cle types as used in the Polk's data. Since the ratios of 2007 and 2003 passenger cars and trucks in motor vehicle registration data are comparable to th e ratios 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 2007HDV8B 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 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 Ge orgia, Georgia DO T 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 1.268Transit 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

The projected 2007 vehicle population by 16 ve hicle types in each county were then converted to 32 vehicles types, which we re matched with 28 vehicle types and 12 vehicle types (corresponding to 12 SCC codes) as shown in the EPA MOVES
converter tool. The EPA MOVES converter tool was also used to convert vehicle population in MOVES format by each of the four reference counties. These populations are the sum of popul ations of all counties sharing the same reference
counties.

2. VMT 1) Date sources GADOT445 report: 2007 VMT by 18 road types was obtained from: http://www.dot.state.ga.us/statisti cs/RoadData/Pages/400Series.aspx

. The VMT by 18 road types was converted to the 12 HPMS road types as follows: Rural Interstate + Small Urban Interstate + Small Urban Freeway Rural Principal Arterial + Sm all Urban Principal Arterial
Rural Minor Arterial + Sma ll Urban Minor Arterial
Rural Minor Collector + Small Urban Collector
Rural Local + Small Urban Local VMT mix by 28 vehicle types: Three types of VMT mix were used for three groups of counties respectively, including ATL13, ATL7 and others. These VMT mix were outputs from Mobile6 runs, with different age distribution inputs for each group of counties. 2) Methodology VMT by 12 road types was multiplied by the VMT mix to get VMT by 12 road types and 28 vehicle types, which were matched with SCCs to get VMT by SCC.

The VMT by 12 road types was also summed up for all counties sharing the same representative county. Such VM T by each representative county and corresponding VMT mix was input into th e EPA converter t ool to the MOVES
format.