@article{ref1,
title="Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic",
journal="Journal of transport geography",
year="2021",
author="Hu, Songhua and Xiong, Chenfeng and Liu, Zhanqin and Zhang, Lei",
volume="91",
number="",
pages="e102997-e102997",
abstract="The COVID-19 pandemic has led to a globally unprecedented change in human mobility. Leveraging two-year bike-sharing trips from the largest bike-sharing program in Chicago, this study examines the spatiotemporal evolution of bike-sharing usage across the pandemic and compares it with other modes of transport. A set of generalized additive (mixed) models are fitted to identify relationships and delineate nonlinear temporal interactions between station-level daily bike-sharing usage and various independent variables including socio-demographics, land use, transportation features, station characteristics, and COVID-19 infections. <br><br>RESULTS show: 1) the proportion of commuting trips is substantially lower during the pandemic; 2) the trend of bike-sharing usage follows an &quot;increase-decrease-rebound&quot; pattern; 3) bike-sharing presents as a more resilient option compared with transit, driving, and walking; 4) regions with more white, Asian, and fewer African-American residents are found to become less dependent on bike-sharing; 5) open space and residential areas exhibit less decrease and earlier start-to-recover time; 6) stations near the city center, with more docks, or located in high-income areas go from more increase before the pandemic to more decrease during the pandemic. <br><br>FINDINGS provide a timely understanding of bike-sharing usage changes and offer suggestions on how different stakeholders should respond to this unprecedented crisis.<p /> <p>Language: en</p>",
language="en",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2021.102997",
url="http://dx.doi.org/10.1016/j.jtrangeo.2021.102997"
}