2020
DOI: 10.1016/j.trb.2019.05.020
|View full text |Cite
|
Sign up to set email alerts
|

Route choice, travel time variability, and rational inattention

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 (RIU… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 34 publications
(7 citation statements)
references
References 40 publications
0
7
0
Order By: Relevance
“…At the same time, some voters are highly 40 See also Maccuish (2019) who develops a life-cycle model with RI, with a focus on the retirement decision and an application to UK data. 41 See also Jiang et al (2020) who use RI to study to a route choice problem that travelers face.…”
Section: Political Economymentioning
confidence: 99%
“…At the same time, some voters are highly 40 See also Maccuish (2019) who develops a life-cycle model with RI, with a focus on the retirement decision and an application to UK data. 41 See also Jiang et al (2020) who use RI to study to a route choice problem that travelers face.…”
Section: Political Economymentioning
confidence: 99%
“…In relation to the acquisition of information before or during the travel, individuals are not willing to select a route with high predicted cost of travel, ignoring the chances of taking the route with the shortest travel distance ( 4 ). Commuters tend to rely totally on information provided by navigation systems only for completely unknown destinations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Cominetti et al [49] studied how the limit of certain learning procedures can be represented with entropy costs. Outside of game theory, the Shannon entropy function is used extensively in discrete choice analysis [50], information economics [51], to motivate games with learning [52], and for route choice [53]. The function D E n is concave and continuous, and thus Nash equilibria exist.…”
Section: Entropy Perturbations and Logit Best Responsementioning
confidence: 99%