期刊
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
卷 66, 期 -, 页码 39-51出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tra.2014.04.013
关键词
Commuting mode choice; Latent captivity; Parameterized logit captivity model; Pooled model; Longitudinal analysis; Mode dchoice preference structure
资金
- Early Researcher Award from the Ministry of Economic Development and Innovation of Ontario
- Natural Science Engineering Research Council
This paper presents an investigation of the temporal evolution of commuting mode choice preference structures. It contributes to two specific modelling issues: latent modal captivity and working with multiple repeated crossectional datasets. In this paper latent modal captivity refers to captive reliance on a specific mode rather than all feasible modes. Three household travel survey datasets collected in the Greater Toronto and Hamilton Area (GTHA) over a ten-year time period are used for empirical modelling. Datasets collected in different years are pooled and separate year-specific scale parameters and coefficients of key variables are estimated for different years. The empirical model clearly explains that there have been significant changes in latent modal captivity and the mode choice preference structures for commuting in the GTHA. Changes have occurred in the unexplained component of latent captivities, in transportation cost perceptions, and in the scales of commuting mode choice preferences. The empirical model also demonstrates that pooling multiple repeated cross-sectional datasets is an efficient way of capturing behavioural changes over time. Application of the proposed mode choice model for practical policy analysis and forecasting will ensure accurate forecasting and an enhanced understanding of policy impacts. (C) 2014 Elsevier Ltd. All rights reserved.
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