ArticlePloS one2021
Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis.Cities (London, England) · 2023Article
- Who changed and who maintained their urban bike-sharing mobility after the COVID-19 outbreak? A within-subjects study.Cities (London, England) · 2023Article
- Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.Transportation · 2023Article
- Causal impacts of the COVID-19 pandemic on daily ridership of public bicycle sharing in Seoul.Sustainable cities and society · 2023Article
- Article
- Cycling in the era of Covid-19: The effects of the pandemic and pop-up cycle lanes on cycling practices.Transportation research interdisciplinary perspectives · 2022Article
- Short- and long-term effects of COVID-19 on bicycle sharing usage.Transportation research interdisciplinary perspectives · 2022Article
- Riding the wave: Predicting the use of the bike-sharing system in Barcelona before and during COVID-19.Sustainable cities and society · 2022Article
- The COVID-19 impacts on bikeshare systems in small rural communities: Case study of bikeshare riders in Montgomery County, VA.PloS one · 2022Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The COVID-19 pandemic has been influencing travel behaviour in many urban areas around the world since the beginning of 2020. As a consequence, bike-sharing schemes have been affected-partly due to the change in travel demand and behaviour as well as a shift from public transit. This study estimates the varying effect of the COVID-19 pandemic on the London bike-sharing system (Santander Cycles) over the period March-December 2020. We employed a Bayesian second-order random walk time-series model to account for temporal correlation in the data. We compared the observed number of cycle hires and hire time with their respective counterfactuals (what would have been if the pandemic had not happened) to estimate the magnitude of the change caused by the pandemic. The results indicated that following a reduction in cycle hires in March and April 2020, the demand rebounded from May 2020, remaining in the expected range of what would have been if the pandemic had not occurred. This could indicate the resiliency of Santander Cycles. With respect to hire time, an important increase occurred in April, May, and June 2020, indicating that bikes were hired for longer trips, perhaps partly due to a shift from public transit.
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