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Journal Article

Citation

Li Q, Liao F, Timmermans HJP, Zhou J. Transportmetrica A: Transp. Sci. 2016; 12(7): 629-649.

Copyright

(Copyright © 2016, Informa - Taylor and Francis Group)

DOI

10.1080/23249935.2016.1189718

PMID

unavailable

Abstract

Rather than considering single trips as the unit of analysis, the activity-based modeling paradigm of travel demand analysis has led to reconceptualizations and innovations in traffic flow models by focusing on complete daily activity-travel patterns. The vast majority of these travel demand and traffic flow models have either implicitly or explicitly assumed that travelers choose between alternatives by maximizing their utility under a deterministic representation of the choice alternatives. While this behavioral assumption leads to tractable, easy-to-apply models, the validity of the assumption largely went untested. This paper investigates the user equilibrium of activity-travel patterns under uncertainty from the perspective of prospect theory. A formulation of the static activity-based user equilibrium model is proposed. In particular, we adopt the concept of a multi-state supernetwork to represent the choice space of activity-travel patterns. A numerical example using hypothetical scenarios is presented to illustrate the proposed model and solution algorithm.


Language: en

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