Travel Demand Model - OKI

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OKI/MVRPC Travel Demand Model – Version 6.0Table 3.2. Estimated 1995 County-to-County Daily Single-Unit Truck FlowsDestination CountyOrigin County Boone KY Butler OHCampbellKYClermontOHDearbornIN ExternalGreeneOHHamiltonOHKentonKYMiamiOHMontgomeryOHWarrenOH Grand TotalBoone, KY 4,254 82 465 150 158 545 3 1,118 1,892 - 17 21 8,705Butler, OH 103 9,882 36 110 48 718 39 3,326 102 32 732 1,181 16,309Campbell, KY 384 54 889 75 41 346 2 701 1,621 2 7 19 4,141Clermont, OH 116 121 67 3,633 7 521 18 1,335 124 2 35 103 6,082Dearborn, IN 211 47 29 16 1,031 500 2 489 106 - 4 3 2,438External 581 729 314 534 548 4,795 707 1,844 233 433 1,400 364 12,482Greene, OH 4 50 2 22 1 839 2,509 154 4 162 2,353 153 6,253Hamilton, OH 1,150 3,337 776 1,309 445 1,774 150 27,055 1,685 23 519 1,197 39,420Kenton, KY 1,520 103 1,816 128 149 228 2 1,899 2,454 1 20 36 8,356Miami, OH 3 33 - - - 422 142 18 3 2,596 1,348 35 4,600Montgomery, OH 27 619 10 34 3 1,638 2,236 477 37 1,410 22,177 806 29,474Warren, OH 26 1,266 15 106 5 336 229 1,186 35 33 762 1,446 5,445Grand Total 8,379 16,323 4,419 6,117 2,436 12,662 6,039 39,602 8,296 4,694 29,374 5,364 143,705Table 3.3. Estimated 1995 County-to-County Daily Multi-Unit Truck FlowsDestination CountyOrigin CountyBooneKY Butler OHCampbellKYClermontOHDearbornIN ExternalGreeneOHHamiltonOHKentonKYMiamiOHMontgomeryOHWarrenOH Grand TotalBoone, KY 581 157 312 276 175 1,542 39 1,325 478 30 141 59 5,115Butler, OH 197 2,384 9 259 89 1,605 117 2,994 177 136 802 938 9,707Campbell, KY 319 54 141 112 106 574 16 396 396 9 67 33 2,223Clermont, OH 246 298 114 429 62 878 70 1,438 233 21 228 101 4,118Dearborn, IN 306 92 121 54 12 712 2 659 461 7 48 17 2,491External 1,787 1,666 499 891 750 17,481 1,349 5,454 559 855 3,202 923 35,416Greene, OH 32 124 14 85 8 1,475 911 370 41 128 1,807 167 5,162Hamilton, OH 1,230 3,317 393 1,472 669 5,163 315 8,854 1,253 329 1,845 1,060 25,900Kenton, KY 593 118 497 165 337 550 28 1,041 303 28 162 74 3,896Miami, OH 27 137 2 34 5 933 134 335 35 470 1,409 66 3,587Montgomery, OH 174 690 8 196 53 3,810 1,784 1,743 164 1,592 9,376 529 20,119Warren, OH 41 1,019 30 132 21 837 281 1,033 76 68 517 245 4,300Grand Total 5,533 10,056 2,140 4,105 2,287 35,560 5,046 25,642 4,176 3,673 19,604 4,212 122,034Truck Model - Base-Year Truck Model Results 31
OKI/MVRPC Travel Demand Model – Version 6.03.2 Truck Trip End SummariesTable 3.4, below shows the base-year generation of FAZ SU and MU truck trip ends for the seed matrixand the final adjust trip tables. In addition, the table includes total base-year employment and householdtotals and identifies the FAZ place names for some of the larger generators of truck trips. In general, thistable shows that FAZs with larger employment totals and households will generate more trips, with anumber of significant truck trip generators throughout the region. Zones with large concentrations ofretail and service employment, such those representing the Cincinnati and Dayton CBDs, generate largenumbers of SU truck trips. In contrast, zones with major trucking facilities, such as Sharonville, or a highconcentration of manufacturing employment, such as Moraine, generate large numbers of MU truck trips.Differences between the trip ends initial estimated in forming the seed matrix and the trip ends ultimatelyproduced through SME calibration are apparent for some FAZs. In aggregate, the number of base-yeartrip ends for SU truck trip ends is more than halved, while the number of MU trip ends is reduced byabout eight percent. A local commercial vehicle survey would be needed to determine the meaning ofthese differences. The SME tables have the advantage of having been calibrated to produce O-D flowsthat provide a better fit to the observed count data and are thus more likely reflect local trip patterns.Also, the trip rates use to produce seed matrix productions and attractions are average rates that werederived in another region of the country and may not accurately reflect the truck trip generatingcharacteristics of a particular zone in the Cincinnati-Dayton region.Table 3.5, below, shows the SU and MU truck trip ends at external stations, as derived from theexpanded ODOT external station survey. Stations are identified by their FAZ and Consolidated TAZnumbers, and some of the larger-truck volume facilities are labeled with route designations. These tripends were formed, following the ODOT technical memorandum for survey expansion, as described inSection 2.2 of this document. They were not changed by the SME procedure; however, the use of thebucket rounding procedure to convert floating point trip tables to truck tables with integer values,resulted in some stations gaining or losing a small portion of daily truck trips.Truck Model - Base-Year Truck Model Results 32
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APPENDIX F • TRAVEL DEMAND MODEL
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OKI/MVRPCTravel Demand ModelVersion
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Table of ContentsPart IPart IIPart
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OKI/MVRPC Travel Demand Model - Ver
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Table A.1 (cont.)Zone System Equiva
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Table A.2Zone System Equivalences -
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Table A.3Zone System Equivalences -
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Table B.1External Stations in the C
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Table B.1External Stations in the C
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User Documentation forAutomated Acc
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[Transit Format][New Link Attribute
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distance for each centroid or node.
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Figure 1Example Control File for th
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LinkType = 99VolumeDelay = 99Lanes
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NetworkScale = 1.0 Scale factor to
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Figure 4Example Output from DRVLINK
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Appendix ASample EMME/2 Transit Lin
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Appendix FTravel Demand ModelingTec
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Index of TablesTable 2-1 Socio-Econ
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Appendix FTravel Demand ModelingTec
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Index of TablesTable 2-1 Trip Lengt
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Table of Contents1. Background ....
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Index of FiguresFigure 2-1 Alternat
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NORTH-SOUTH TRANSPORTATION INITIATI
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Run # 63: Start with 7.17 estimatio
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Run # 67:Split parking cost from ot
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Run # 70a:Include zero-auto segment
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Run # 71c:Repeat #71a with zero aut
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Run # 71g:Repeat #71d with wait tim
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Run # 73:Include residential densit
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Run # 76:Nest: auto vs transitVaria
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Run # 80:Nest: auto vs. all othersV
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Run # 82:(071h) nested: auto vs tra
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Run #3VariableModeDrive Shared Ride
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Run #8VariableModeDrive Shared Ride
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Run #12 test: make aoc=10.5 instead
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Run #29VariableModeDrive Shared Rid
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Run #33VariableModeDrive Shared Rid
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Run #37vot constrained to $7.00Vari
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Run #30bSame as #30a, combine cost
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Run #140b (same as run #40)vot cons
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Run #141avot constrained to $3.00 &
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Run #141cvot constrained to $3.00 &
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Run # 1:Base RunVariablesModesDA Sh
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Run # 5:Base Run with walk time set
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Part VITRIP ASSIGNMENT ANDVALIDATIO
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Index of TablesTable 2-1 Average Ve
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VOBFigure 4-8 Screenline Location -
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