Estimating Weights of Times and Transfers for Hyperpath Travelers

Abstract

In high-frequency transit networks, travelers are often assumed to reduce their travel time by identifying sets of attractive lines. This concept was used in the development of most transit assignment models. Whether transfer penalties and waiting times are more highly valued than onboard travel times largely has been ignored in these assignment models. The literature on the estimation of the value of time for public transport passengers also ignores the complexity of choices faced by transit travelers in large cities. An effort to close this gap addressed the question of whether different passenger groups choose different strategies at stops. A web-based survey was conducted, and data from 597 individuals from various countries were obtained. Hyperpath selection was formulated as a discrete choice model, and the relative weights were estimated. Nested logit models were used to consider the correlation between alternatives within the hyperpath. Results indicated that individual specific attributes significantly influenced passengers' selection of hyperpath.

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