A Context-Based Approach for Adjusting Institute of Transportation Engineers Trip Generation Rates in Urban Contexts Using Household Travel Surveys

摘要

The purpose of this research is to develop a methodology for utilizing household travel surveys (HTS) asa means for producing a regional-scale policy model for predicting context-based vehicle-trip reductionsapplied to Institute of Transportation Engineers (ITE) Trip Generation (TG) at a site-level development.This methodology may be used as a supplement to ITE TG rates, providing justification to vehicle-tripreductions based on known contextual vehicle mode splits. Using the Puget Sound Regional Council HTSof 2006, non-home-based trip ends are selected and common built environment (BE) measure areextracted. A clustering analysis is applied to all trip ends, determining clustered groups, or contexts.Using contexts as model variables, in addition to socio-demographic (SDC) and trip characteristics (TC),a binary logistic model is developed to predict the mode split. Mode splits are then calculated for allcontext types using average BE, SDC and TC variables. External establishment survey rates and modesplits, published from reports located in California, are then used as a validity check to verify thepredictor power of the model based on the type of establishment's context. For each establishment survey,the same BE measures are extracted, and the location is classified into contexts using a linear discriminateanalysis. In general, mode splits predicted across contexts show variation expected for areas with greaterresidential or employment density, land use mix and connectivity. Establishment data show predictedvalues fall within observed range or fall on the conservative side of estimation. Future applications of thisresearch are discussed.