Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London
Shahram Heydari, Garyfallos Konstantinoudis, Abdul Wahid Behsoodi

TL;DR
This study analyzes how the COVID-19 pandemic affected bike-sharing demand and hire duration in London, revealing initial declines, subsequent rebounds, and increased trip lengths, indicating resilience and behavioral shifts in urban mobility.
Contribution
It introduces a Bayesian time-series model to quantify the pandemic's impact on bike-sharing demand and trip duration, providing insights into urban mobility resilience.
Findings
Demand dropped in March-April 2020 and rebounded from May
Hire time increased significantly during April-June 2020
Bike-sharing demand showed resilience despite initial decline
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
