Travel Demand Model - OKI

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OKI/MVRPC Travel Demand Model – Version 6.02.2 Model Calibration ProcessThe OKI/MVRPC model uses logsums as the impedance for HBW, HBU, HBO and NHB peak andoff peak trip distribution models. Because the logsums are obtained from the mode choicemodel, full model calibration requires iteration between the calibration of the gravity models andthe calibration of the mode choice models.For the initial trip distribution calibration, the mode choice model was applied using thealternative-specific constants obtained in model estimation. After the first calibration, the tripdistribution model is applied, and the resulting trip tables are used to re-calibrate the modechoice model. With the newly computed alternative-specific constants, the calibration of thegravity models is checked again, and adjusted if necessary. This process of iterating betweenthe mode choice calibration and the trip distribution calibration is repeated until there are nochanges in the convergence criteria of the calibration process. The entire calibration process wasrepeated several times during the model validation phase to incorporate any changes in logsumsdue to refinements made to either the mode choice or the trip distribution models during thisphase. The results reported below correspond to the final trip distribution and mode choicecalibrations.2.3 Model Calibration DataThe calibration of gravity models requires three data items: the impedance matrix, an observedtrip table, and observed trip production and attractions. Below is a description of these dataitems.2.3.1 Impedance Matrix (Logsums)The logsums are obtained from a special application of the mode choice model. The controlparameters of the mode choice application program allow the user to output either trip tables orlogsum tables. Because the computation of logsums requires only the calculation of mode choiceprobabilities, it is not necessary to have a trip table in order to produce logsums.2.3.2 Observed Trip DataThe observed trip table and observed productions and attractions were developed from the OKIhome interview survey, based on expanded data records. It was not possible to includeinformation about MVRPC trips on the trip distribution calibration because the MVRPC survey isnot geocodable. It must be assumed then that the OKI Council region trip length pattern appliesto MVRPC. This assumption and possibly the trip distribution calibration should be revised asMVRPC origin/destination data become available. A correction to the gravity model, in the formof K-factors for trip interchanges between OKI and MVRPC, was computed based on data fromthe ODOT cordon surveys. This process is described in Section 2.62.4 Friction Factor CalculationThe purpose of the calibration process is to determine a set of friction factors that, when appliedin the gravity model, yield an estimated trip length frequency distribution (TLFD) function withcharacteristics similar to the observed TLFD function.Trip Distribution - Gravity Model Calibration 3
OKI/MVRPC Travel Demand Model – Version 6.0Friction factors are calibrated by fitting a gamma function:f (I )β= α ∗I∗ EXP( γ ∗I),where f is the friction factor for impedance I, and α, β and γ are the parameters to bedetermined. The gamma function can take the general forms shown below:Figure 2-1 Gamma Functionfriction factors400035003000β>0250020001500β
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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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Page 141 and 142: OKI/MVRPC Travel Demand Model - Ver
Page 187 and 188: Appendix FTravel Demand ModelingTec
Page 189 and 190: Index of TablesTable 2-1 Trip Lengt
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Page 227 and 228: Table of Contents1. Background ....
Page 229 and 230: 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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VOBFigure 4-8 Screenline Location -
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2759OKI/MVRPC Travel Demand Model -
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Table of Contents1. Introduction...
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Appendix FTravel Demand ModelingTec
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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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