Latent variables and route choice behavior

被引:91
作者
Prato, Carlo Giacomo [1 ]
Bekhor, Shlomo [2 ]
Pronello, Cristina [3 ,4 ]
机构
[1] Tech Univ Denmark, Dept Transport, DK-2800 Lyngby, Denmark
[2] Technion Israel Inst Technol, Fac Civil & Environm Engn, IL-32000 Haifa, Israel
[3] Univ Lyon 2, LET Lab Econ Transports, F-69007 Lyon, France
[4] Politecn Torino, Dipartimento Idraul Trasporti & Infrastrutture Ci, I-10142 Turin, TO, Italy
关键词
Route choice behavior; Latent variables; Hybrid model; Measurement and structural equations; Path size correction logit; SET GENERATION; SHORTEST PATHS; MODELS;
D O I
10.1007/s11116-011-9344-y
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:299 / 319
页数:21
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