METHODOLOGY FOR SHORT-RANGE TRAVEL DEMAND PREDICTIONS. ANALYSIS OF CARPOOLING INCENTIVES
作者： M Ben-Ariva , T J Atherton
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摘要: This paper presents a methodology for predicting changes in travel patterns short-range transport options, including carpooling incentive policies. The is based on the application of disaggregate demand models. These models are multinomial logit probabilistic choice model. data used to estimate coefficients these taken from home interview surveys and represent cross-section households Washington, DC, USA. dependent variables reported choices made; independent socio-economic characteristics measures times costs, survey employment land use urban area. direct indirect effects behaviour: (1) shifts mode work trips driving alone transit carpooling; (2) alternative cars left at non-work travel; (3) car ownership level. Results results presented case study this various related concludes with summary major findings recommendations further improvements prediction methods. /TRRL/
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