Latent variables and route choice behavior |
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Authors: | Carlo Giacomo Prato Shlomo Bekhor Cristina Pronello |
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Institution: | (1) Department of Transport, Technical University of Denmark, Bygningstorvet 116 Vest, 2800 Kgs. Lyngby, Denmark;(2) Faculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, Technion Campus, 32000 Haifa, Israel;(3) LET: Laboratoire d’Economie des Transports, Universit? Lumi?re Lyon 2, 14 Avenue Berthelot, 69007 Lyon, France;(4) Dipartimento di Idraulica Trasporti e Infrastrutture Civili, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10142 Turin, TO, Italy |
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Abstract: | In the last decade, a broad array of disciplines has shown a general interest in enhancing discrete choice models by considering
the incorporation of psychological factors affecting decision making. This paper provides insight into the comprehension of
the determinants of route choice behavior by proposing and estimating a hybrid model that integrates latent variable and route
choice models. Data contain information about latent variable indicators and chosen routes of travelers driving regularly
from home to work in an urban network. Choice sets include alternative routes generated with a branch and bound algorithm.
A hybrid model consists of measurement equations, which relate latent variables to measurement indicators and utilities to
choice indicators, and structural equations, which link travelers’ observable characteristics to latent variables and explanatory
variables to utilities. Estimation results illustrate that considering latent variables (i.e., memory, habit, familiarity,
spatial ability, time saving skills) alongside traditional variables (e.g., travel time, distance, congestion level) enriches
the comprehension of route choice behavior. |
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