详情

原文传递 Improved Trip Generation Data for Texas Using Work Place and Special Generator Survey Data.

题名：	Improved Trip Generation Data for Texas Using Work Place and Special Generator Survey Data.
作者：	Hard, E.; Bhat, C.; Chigoy, B.; Green, L.; Dubey, S.; Pearson, D.; Sperry, B. R.; Loftus-Otway, L.; Moore, P. C.
关键词：	Traffic analysis, Trip generation, Trip attractions, Attraction rate, Work place survey, Special generator survey, Generic attraction rates, Advanced models, Employment type, Area type, Disaggregate model, Land use code, Recommendations, Trip forecasting, Urban planning, Highway transportation, Data collection, State planning
摘要：	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.
总页数：	Hard, E.; Bhat, C.; Chigoy, B.; Green, L.; Dubey, S.; Pearson, D.; Sperry, B. R.; Loftus-Otway, L.; Moore, P. C.
报告类型：	科技报告