2019
DOI: 10.1016/j.trb.2018.12.003
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Travel time variability and rational inattention

Abstract: This paper sets up a rational inattention model for the choice of departure time for a traveler facing random travel time. The traveler chooses how much information to acquire about the travel time outcome before choosing departure time. This reduces the cost of travel time variability compared to models in which the information is exogenously fixed .

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Cited by 20 publications
(3 citation statements)
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“…We develop a choice model estimation framework with latent constructs that capture information heterogeneity within the data. The key difference between our work and previous literature is that we show how rational inattention can be framed as a flexible and extendable generative learning model that emulates the cognitive processes in human behaviour [13,14]. We postulate that realistic behavioural patterns can be modelled using a data-driven generative learning process and we estimate a model to represent the underlying heterogeneity of the data.…”
Section: Introductionmentioning
confidence: 87%
See 1 more Smart Citation
“…We develop a choice model estimation framework with latent constructs that capture information heterogeneity within the data. The key difference between our work and previous literature is that we show how rational inattention can be framed as a flexible and extendable generative learning model that emulates the cognitive processes in human behaviour [13,14]. We postulate that realistic behavioural patterns can be modelled using a data-driven generative learning process and we estimate a model to represent the underlying heterogeneity of the data.…”
Section: Introductionmentioning
confidence: 87%
“…[21] investigated consumer inattention correlation with willingness-to-pay for fuel consumption. Recently, rational inattention has been found to work well in time variability problems in travel demand forecasting [14]. The theory of rational inattention seeks to endogenize the imperfect awareness about the circumstances [10].…”
Section: Rational Inattention Behaviourmentioning
confidence: 99%
“…From a behavioral standpoint, a similar approach to this paper is found in Fosgerau and Jiang (2019) and Jiang et al (2020), who incorporate a rational inattention model into the context of transportation networks. While choice aversion and rational inattention are interconnected in terms of information processing, we model a particular variant of costly decision-making in the form of aversion to increasing choices, rather than mutual information through observing a signal.…”
Section: Introductionmentioning
confidence: 91%