Effects of Weather and Calendar Events on Mode-Choice Behaviors for Public Transportation
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7
Abstract
Understanding travel behavior decisions is a fundamental aim of transportation planning. However, data from surveys or travel diaries that were traditionally used for travel mode-choice modeling are costly and have certain inaccuracies and cover limited populations. Therefore, recently, smart card data collected from automated fare collection systems have gradually become more popular for travel behavior analysis and modeling, but relatively little attention has been paid to investigating the daily variability in travel behavior decisions using more than 1-year smart card data, apart for some descriptive studies. In this study, mode-choice behaviors in public transit were investigated in Seoul using 20-month smart card data to investigate the daily variability in the ratio of the number of subway passengers depending on origin and destination. For this aim, the effects of temporal features such as weather and calendar events as well as the route information and built environments of origin and destination stations were considered on a daily basis for different time periods. To overcome the limitation that the purpose of travel cannot be identified from smart card data, this study attempted to precisely estimate subway connections and extract travel records for commuting from regular commuters’ cards. The models were trained using 1-year data and were validated using 8-month data, which verified that the selected factors explain the daily variability in mode-choice behaviors for public transportation.
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Data Availability Statement
No data, models, or code were generated or used during the study.
Acknowledgments
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government, Ministry of Science, ICT and Future Planning (MSIP) (No. 2017R1C1B5014805).
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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: Aug 22, 2019
Accepted: Jan 6, 2020
Published online: Apr 29, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 29, 2020
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