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OKI/MVRPC Travel Demand Model – Version 6.01. IntroductionThis report describes the truck trip modeling component of the consolidated travel demand modelingsystem for the Miami Valley Regional Planning Commission (MVRPC) and the Ohio-Kentucky-IndianaCouncil of Governments (OKI). The consolidated regional travel model was developed for the North-South Transportation Initiative (NSTI), a major investment study focusing on the Interstate-75 corridor.The development of a truck model recognizes the substantial impact of commercial vehicle traffic on theregional transportation system as well as important behavioral differences between travel for the purposeof hauling freight and travel for the purpose of meeting personal and household needs. Compared withperson vehicle traffic, the underlying behavior of commercial truck traffic is not as well understood, norhas there been adequate data collected for detailed study of this behavior. Commercial truck trafficexhibits spatial and temporal distribution patterns that are markedly different from passenger traffic.From a modeling perspective, land uses generate truck trips at different rates than passenger traffic.Truck trips have different average trip-length distributions, tend to be less sensitive to congested traveltimes and do not exhibit the same diurnal peaking characteristics as person traffic. Moreover, multipledecision makers are typically involved in freight movements, accounting for production supply chainrelationships, inter-modal transfers between rail/water/air and truck, and the transport of goods totransshipment facilities for redistribution to the marketplace.The truck model developed for the consolidated travel model and described in this document is a set ofprocedures that produces truck trip tables for use in a multi-class traffic assignment. The methodology isnot behaviorally-based, however, due to the non-availability of survey data for commercial vehiclemovements. In the absence of such data from which to calibrate truck trip generation and distributionmodels, synthetic matrix estimation is used to produce trip tables for the base year. The resulting triptables represent commercial truck origin-destination (O-D) flows that reflect likely truck trip productionsand attractions and are consistent with observed truck counts for the regional highway network. Inaddition, a set of forecasting procedures was developed to generate truck trip tables for use inalternatives analysis, accounting for growth in employment and households as well as expected changesin industrial output.The remainder of this document describes the modeling system structure, development of a database tosupport model development, methods used to create base-year trip tables, base-year model results,forecasting procedures and baseline forecast-year results.1.1 Overview of Truck Model Development and StructureThe truck model developed for the consolidated regional model (CRM) system produces truck trip tablesfor two types of commercial vehicles: single-unit (six-tire trucks) and multi-unit (three-plus axlecombination trucks). The structure of the truck modeling process is illustrated in Figure 1-1, below.The generation of daily truck trips for each vehicle type assumes that businesses of different types have apropensity to produce and attract single-unit (SU) and multi-unit (MU) truck trips at rates proportional tothe amount of commercial activity being generated by the business. It is further assumed, in theabsence of revenue data, that employment totals are good indicators of the amount of commercialactivity being generated by businesses. Likewise, households generate some amount of commercialvehicle traffic for the pick up and delivery of goods and provision of services. These assumptions areimplemented in the CRM at an aggregate level by applying truck trip generation equations to the zonaltotals for households and employees, by industry grouping, to estimate SU and MU truck trip ends.Truck Model - Introduction 1
OKI/MVRPC Travel Demand Model – Version 6.0Truck Count DataNetwork & ZonalDataGrowth ForecastTruck TripGeneration& DistributionSeedMatrixMatrixUpdateMatrixSynthesisTruck O-D TablesTruck O-D TablesTrafficAssignmentTrafficAssignmentEvaluation& ValidationEvaluation &AlternativesAnalysisBase YearForecast YearFigure 1-1. Truck model development and applicationTruck Model - Introduction 2
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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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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 # 79:Repeat #72 with zero autos
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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 #140 (same as run #40)vot const
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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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Run # 8:Base Run, split walkVariabl
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Run # 10: Nested structure (autos v
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Part VITRIP ASSIGNMENT ANDVALIDATIO
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Index of TablesTable 2-1 Average Ve
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Page 391: Table of Contents1. Introduction...
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Table of Contents1. Introduction...
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2. Surveys and Other Datasets2.1 OK
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Table 2-1 OKI Home Interview Survey
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Table 1-4 On-Board Survey Data Dict
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2.3 External Station Survey - Conso
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2.4 External Cordon Survey - Consol
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2.5 External-External Trip Table fr
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2.20 Screenline Shape File - Screen
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