Empirical Analysis of Commuters’ Nonwork Stop-Making Behavior in Beijing, China
Publication: Journal of Transportation Engineering
Volume 137, Issue 5
Abstract
This paper presents a mathematical model to determine both a worker’s decision to participate in a nonwork activity and the decision about whether to include it in the basic home–work–home commute. By using household travel survey data from Beijing, China, this paper presents an empirical analysis framework to examine commuters’ nonwork stop-making behavior in a highly urbanized environment in a developing country. To account for the censored nature of the decision about whether to include a nonwork stop in the commute tour, a bivariate probit selection model was used. To enhance the behavioral basis for the model, extensive statistical tests were performed on model specifications and assumptions. The empirical results provide useful insights into the effects of individual/household sociodemographics, transportation measures, work schedule, and mode choice on commuters’ nonwork stop-making propensity. This study also provides methodological evidence that could lead to an approach for predicting the changes in commuters’ nonwork stop-making behavior as a result of the changes in sociodemographics and transportation scenarios.
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Acknowledgments
This research is supported by the National High Technology Research and Development Program of China (UNSPECIFIED2007AA11Z203) and the National Natural Science Foundation of China (NNSFC51008190). The writers appreciate the Beijing Transportation Research Center for generously providing the data used in this study. And the writers would like to thank engineer Liu Xinhua from the Beijing Transportation Research Center for his help with the statistical computations for the research. Two anonymous reviewers provided valuable comments for improvement of an earlier version of this paper. The contents of the paper reflect the views of the writers who are responsible for the facts and accuracy of the information presented. The contents do not necessarily reflect the official views of the Business School of Shanghai Dian Ji University.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 137 • Issue 5 • May 2011
Pages: 360 - 369
Copyright
© 2011 American Society of Civil Engineers.
History
Received: May 27, 2009
Accepted: Sep 27, 2010
Published online: Apr 15, 2011
Published in print: May 1, 2011
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