Comparative Analysis on Heuristic Methods of Generating Choice-set in Urban Rail Route Choice:

Evidence from Tokyo Metropolitan Area

Abstract

This paper examines the characteristics of the choice behavior of urban rail users in the Tokyo Metropolitan Area and proposes heuristic rules for generating an individual's choice set by eliminating the options by his/her aspects. Then, this paper empirically applies the proposed rules to the simultaneous choice analysis of the access travel mode, rail station of origin, and rail route using multinomial logit models. The results show that the choice set generation rule with two-step elimination according to the access distance to the rail station of origin and the total travel time, including access travel time and rail-ride travel time, exhibits the best fitness in the parameter estimation.