Latent variables and route choice behavior

Prato, Carlo Giacomo, Bekhor, Shlomo and Pronello, Cristina (2012) Latent variables and route choice behavior. Transportation, 39 2: 299-319. doi:10.1007/s11116-011-9344-y

Author Prato, Carlo Giacomo
Bekhor, Shlomo
Pronello, Cristina
Title Latent variables and route choice behavior
Journal name Transportation   Check publisher's open access policy
ISSN 0049-4488
Publication date 2012-03-01
Year available 2011
Sub-type Article (original research)
DOI 10.1007/s11116-011-9344-y
Open Access Status Not Open Access
Volume 39
Issue 2
Start page 299
End page 319
Total pages 21
Place of publication New York, NY, United States
Publisher Springer New York LLC
Language eng
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.
Keyword Hybrid model
Latent variables
Measurement and structural equations
Path size correction logit
Route choice behavior
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Social Science Publications
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Citation counts: TR Web of Science Citation Count  Cited 28 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 35 times in Scopus Article | Citations
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Created: Thu, 14 Apr 2016, 19:03:47 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)