Improving ADA Paratransit Demand Estimation: Regional Modeling (2012) / Chapter Skim
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Pages 63-74
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From page 63... ...
63 Using the ADA Paratransit Travel Models The body of the report describes the survey data and the estimated choice models of the travel patterns of ADA paratransit users and demonstrates the models' use to predict demand for ADA paratransit in the Dallas/Fort Worth region under different demographic scenarios and ADA paratransit service scenarios. This appendix provides details about the current implementation of the demand models for the Dallas/Ft.
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64 improving AdA paratransit demand estimation: Regional Modeling H ApplyADARegistrationModel: Applies the census tract-level model to predict how many residents in each tract are registered as eligible to use ADA paratransit.
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Using the AdA paratransit Travel Models 65 The next sets of inputs give the directories and file names for all input and output files to be used by the program. One special switch is USETRN.
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66 improving AdA paratransit demand estimation: Regional Modeling Figure A-1 illustrates how the regional mode of the ADA paratransit demand model could fit into a regional forecasting model framework. Input data includes three main types of data typically used in regional modeling: (1)
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Using the AdA paratransit Travel Models 67 used as input for a single run of the ADA paratransit demand models, with no subsequent route assignment. This mode of using the models is much simpler, particularly if the models are being run by the ADA paratransit agency instead of the MPO.
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68 improving AdA paratransit demand estimation: Regional Modeling Before running the model, the user should provide input to several fields on the screen. The model is set up so that the user can perform a "base run" and then do a series of runs that test the effect of various changes.
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Using the AdA paratransit Travel Models 69 run in ExampleBase, so BASERN is set to "None." In a base run, policy changes for income, age, household size, and ADA paratransit service levels are typically all left at 0, as in the screen above. The final two user inputs for a base run are RDSEED and SKREPT.
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70 improving AdA paratransit demand estimation: Regional Modeling appear automatically in Excel. In the example case, there is no base run name provided, so the program gives a message that the Base scenario ‘None' does not exist, and waits for the user to press Enter before returning to Excel.
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Using the AdA paratransit Travel Models 71 Figure A-5. Model tabular output.
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72 improving AdA paratransit demand estimation: Regional Modeling Figure A-6. Model graphical output.
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Using the AdA paratransit Travel Models 73 Figure A-7. Output with summary of run settings.
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74 improving AdA paratransit demand estimation: Regional Modeling Figure A-8. Model input for a scenario testing run.
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