Complete Estimation Approach for Characterizing Passenger Travel Time Distributions at Rail Transit Stations
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7
Abstract
Route choice behavior of a rail transit passenger is not directly observable and it may be affected by the route travel time to a large extent. Compared to the on-train time, travel times at stations, including walking time and waiting time, have been receiving less attention and therefore become more difficult to analyze. A common method to analyze the travel time at a rail transit station is to directly assume a distribution function and to further fit the distribution. However, most distribution functions in the prior literature were used without validation and/or conclusive decision on the best fit. In such context, this paper develops a complete approach to estimating both the walking and waiting times at stations (including origin stations, destination stations, and transfer stations) by mining automatic fare collection (AFC) and automatic train supervision (ATS) data, and their distributions are further discussed and characterized in detail. An initial case study of the Beijing subway network shows that it can deduce passengers’ walking and waiting times in sequence, and consequently obtain and depict their distributions with high performance.
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Data Availability Statement
Some or all data, models, or code used during the study were provided by a third party (Beijing Subway Co., Ltd). Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.
Acknowledgments
The study was financially supported by the National Natural Science Foundation of China (71701152), the Research Program of Science and Technology Commission in Shanghai (18510745800), and the Fundamental Research Funds for the Central Universities (22120180067). The authors wish to acknowledge Beijing Subway Co., Ltd, for providing basic data during the research. The authors also thank the three anonymous referees for their helpful comments and valuable suggestions that substantially improved the content and composition of this work.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 7 • July 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: May 31, 2019
Accepted: Jan 13, 2020
Published online: Apr 21, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 21, 2020
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