Route choice, travel time variability, and rational inattention
Gege Jiang,
Mogens Fosgerau and
Hong Lo
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper sets up a rational inattention model for the route choice problem in a stochastic network where travelers face random travel time. Previous research has assumed that travelers incorporate all provided information without effort. This study assumes that information is costly and that travelers rationally choose how much information to acquire prior to choosing route. We begin with a single traveler and then extend the model to heterogeneous travelers where rationally inattentive user equilibrium (RIUE) is achieved. From the perspective of a single traveler, more information always reduces the impact of travel time variability and increases the probability of choosing a less costly route. However, in RIUE, more information may reduce the social welfare in some scenarios.
Keywords: Rational inattention; Travel time variability; Imperfect information; Information strategy; Discrete choice (search for similar items in EconPapers)
JEL-codes: D8 R4 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-mic, nep-net, nep-ore, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/99944/1/MPRA_paper_99944.pdf original version (application/pdf)
Related works:
Journal Article: Route choice, travel time variability, and rational inattention (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:99944
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().