Improved trip generation data for Texas using work place and special generator survey data.
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2015-05-01
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Abstract:Travel estimates from models and manuals developed from trip attraction rates having high variances due to few
survey observations can reduce confidence and accuracy in estimates. This project compiled and analyzed data from
more than a decade of work place and special generator travel surveys in Texas to develop (1) a generic set of trip
attraction rates for different metropolitan planning organization (MPO) size categories in Texas, and (2) a Texas trip
generation manual similar to the national Institute of Transportation Engineers’ (ITE’s) Trip Generation Manual, but
based on local Texas data. The study results revealed that the Texas trip generation rates were generally lower than
comparable rates in the ITE manual.
The research team reviewed and assessed Texas Department of Transportation current work place survey methods and
design. The researchers then made recommendations on changes that would enable ITE-type trip generation data to be
collected, in addition to the data collected as part of this survey, to develop trip attraction rates for modeling. The study
also used the master database of trip attraction data from Texas work place surveys to develop disaggregate trip
attraction rates for modeling using numerous explanatory variables. Here, the data were grouped into 14 employment
categories, and linear regression models were (1) developed for non-commercial and commercial trips, and (2)
analyzed for various trip purposes and mode combinations. This analysis revealed the following significant indicators
of attraction rates: parking availability, MPO area size, traffic analysis zone area type, employment density, and
establishment type. These are factors that should be used in future studies. The disaggregate attraction rates could be
used as a benchmark or reference for calibrating certain aspects of activity-based models.
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