Travel Demand Model - OKI

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Figure 2-1 Alternative Logit Model FormulationsOKI/MVRPC Travel Demand Model – Version 6.0ChoiceDriveAloneSharedRideTransitSimple Multinomial Logit ModelChoiceAutoTransitDriveAlone2Person3+PersonWalkPNRKNRHierarchical Logit ModelChoiceAutoTransitDriveAlone2Person3+PersonWalkPNRKNRNested Logit ModelMode Choice - Mode Choice Model Specification 3
OKI/MVRPC Travel Demand Model – Version 6.02.2 Mathematical FormulationThe standard logit formulation can be expressed as:P i =e Ui∑ e Uikwhere:P iU i∑ e Uikis the probability of a traveler choosing mode iis a linear function of the attributes of mode i that describe its attractivenessis the summation of the linear functions of the attributes over all thealternatives (k) for which a choice is feasibleThe utility expression for each available mode (i) is specified as a linear function thatincorporates a range of variable types, including time, cost, location measures and socioeconomiccharacteristics of the traveler. For example,U i = β * Timei+ β * Cost i + β * LocationVar+ β * SE + β12340, iwhere:U iβ 0,iβ 1β 2β 3β 4is the utility for mode iis a constant specific to mode i that captures the overall effect of any significantvariables that are missing or unexplained in the expression (e.g., comfort,convenience, safety)is a set of coefficients describing the level-of-service (in travel time) provided bymode i (e.g., in-vehicle time, wait time, walk time)is a set of coefficients describing travel cost, (e.g., transit fare, automobileoperating cost, parking costs)is a set of coefficients describing the specific attributes of the trip interchange(e.g., CBD destination, park and ride lot use)is a set of coefficients describing the influence of each socio-economiccharacteristic of the traveler (e.g., income group, auto ownership)The travel time variables are typically disaggregated into in-vehicle and out-of-vehicle time, at aminimum. Out-of-vehicle time may be further stratified into walk time, initial wait, and transferwait time – the latter two categories being applicable to the transit modes only. Similarly, travelcost is often disaggregated into the more general out-of-pocket cost (i.e., automobile operatingcost and transit fare) and destination parking cost.Location variables in utility expressions may be used to reflect a set of unique geographicallybased characteristics, such as a Central Business District. Alternatively, these geographicattributes may be represented in the form of land use variables such as employment and/orpopulation density. A wide variety of variables are possible in the socio-economic category (SE)including variables that measure the relative wealth of the trip maker (income or auto ownership)or reflect other household characteristics (i.e., workers per household, licensed drivers perhousehold, etc.). Finally, a mode specific constant reflects the unexplained behavior. Theindividual coefficients associated with each variable reflect the relative importance of eachattribute.Mode Choice - Mode Choice Model Specification 4
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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 181 and 182: 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 229 and 230: Index of FiguresFigure 2-1 Alternat
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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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