@article{ref1,
title="A user equilibrium model for combined activity-travel choice under prospect theoretical mechanisms of decision-making under uncertainty",
journal="Transportmetrica A: transport science",
year="2016",
author="Li, Qing and Liao, Feixiong and Timmermans, Harry J. P. and Zhou, Jing",
volume="12",
number="7",
pages="629-649",
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.<p /> <p>Language: en</p>",
language="en",
issn="2324-9935",
doi="10.1080/23249935.2016.1189718",
url="http://dx.doi.org/10.1080/23249935.2016.1189718"
}