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@article{7624461f960847fab85325a29f6a8f9b,
title = "Closing the gap between behavior and models in route choice: The role of spatiotemporal constraints and latent traits in choice set formation",
keywords = "Consideration set, Spatiotemporal constraints, Route choice, Master set, Latent variable semi-compensatory model",
publisher = "Pergamon",
author = "Sigal Kaplan and Prato, {Carlo Giacomo}",
year = "2012",
doi = "10.1016/j.trf.2011.11.001",
volume = "15",
pages = "9--24",
journal = "Transportation Research. Part F: Traffic Psychology and Behaviour",
issn = "1369-8478",

}

RIS

TY - JOUR

T1 - Closing the gap between behavior and models in route choice: The role of spatiotemporal constraints and latent traits in choice set formation

A1 - Kaplan,Sigal

A1 - Prato,Carlo Giacomo

AU - Kaplan,Sigal

AU - Prato,Carlo Giacomo

PB - Pergamon

PY - 2012

Y1 - 2012

N2 - A considerable gap exists between the behavioral paradigm of choice set formation in route choice and its representation in route choice modeling. While travelers form their viable choice set by retaining routes that satisfy spatiotemporal constraints, existing route generation techniques do not account for individual-related spatiotemporal constraints. This paper reduces the gap by proposing a route choice model incorporating spatiotemporal constraints and latent traits. The proposed approach combines stochastic route generation with a latent variable semi-compensatory model representing constraint-based choice set formation followed by compensatory choice. The model is applied to data focusing on habitual commuting route choice behavior in morning peak hours. Results show (i) the possibility of inferring spatiotemporal constraints from considered routes, (ii) the importance of incorporating spatiotemporal constraints and latent traits in route choice models, and (iii) the linkage between spatiotemporal constraints and time saving, spatial and mnemonic abilities.

AB - A considerable gap exists between the behavioral paradigm of choice set formation in route choice and its representation in route choice modeling. While travelers form their viable choice set by retaining routes that satisfy spatiotemporal constraints, existing route generation techniques do not account for individual-related spatiotemporal constraints. This paper reduces the gap by proposing a route choice model incorporating spatiotemporal constraints and latent traits. The proposed approach combines stochastic route generation with a latent variable semi-compensatory model representing constraint-based choice set formation followed by compensatory choice. The model is applied to data focusing on habitual commuting route choice behavior in morning peak hours. Results show (i) the possibility of inferring spatiotemporal constraints from considered routes, (ii) the importance of incorporating spatiotemporal constraints and latent traits in route choice models, and (iii) the linkage between spatiotemporal constraints and time saving, spatial and mnemonic abilities.

KW - Consideration set

KW - Spatiotemporal constraints

KW - Route choice

KW - Master set

KW - Latent variable semi-compensatory model

U2 - 10.1016/j.trf.2011.11.001

DO - 10.1016/j.trf.2011.11.001

JO - Transportation Research. Part F: Traffic Psychology and Behaviour

JF - Transportation Research. Part F: Traffic Psychology and Behaviour

SN - 1369-8478

VL - 15

SP - 9

EP - 24

ER -