Examining the effects of a temporary subway closure on cycling in Glasgow using bike-sharing data

Fung, C. M. , Mcarthur, D. P. and Hong, J. (2021) Examining the effects of a temporary subway closure on cycling in Glasgow using bike-sharing data. Travel Behaviour and Society, 25, pp. 62-77. (doi: 10.1016/j.tbs.2021.06.002)

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This study takes the 39-day Glasgow Subway closure in July 2016 as a natural experiment to evaluate the effect of subway closure on bike-sharing trips. We find that bike-sharing trips increased by 20.7% for incoming trips and 20.1% for outgoing trips on average for each bike station in the proximity of subway station during the subway suspension. Some of this change persisted, with 12.4% of the increased bike-sharing trips remaining after the resumption of the subway service. Our findings suggest that first, subway and bike-sharing trips are substitutes; second, this temporary service disruption was not enough to break commuters’ long-term habits, and third, the diversion factors implied by our results are much lower than the recommended values for UK cities.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Hong, Dr Jinhyun and Mcarthur, Dr David and Fung, Dr Chau Man
Creator Roles:
Fung, C. M.Conceptualization, Formal analysis, Writing – original draft
Mcarthur, D.Conceptualization, Writing – review and editing
Hong, J.Conceptualization, Writing – review and editing
Authors: Fung, C. M., Mcarthur, D. P., and Hong, J.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Travel Behaviour and Society
ISSN (Online):2214-3688
Published Online:22 June 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Travel Behaviour and Society 25: 62-77
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190698Urban Big Data Research CentreNick BaileyEconomic and Social Research Council (ESRC)ES/L011921/1S&PS - Urban Big Data