Qin Yue, Karimi Hassan A
Geoinformatics Laboratory, School of Computing and Information, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA 15260, USA.
Sustain Cities Soc. 2023 Sep;96:104669. doi: 10.1016/j.scs.2023.104669. Epub 2023 May 24.
The global outbreak of COVID-19 has fundamentally reshaped human mobility. Compared to other modes of transportation, how spatiotemporal patterns of urban bike-sharing have evolved since the outbreak is yet to be fully understood, especially for bike-sharing systems operating on a smaller scale. Taking Pittsburgh as a case study, we examined the changes in spatiotemporal dynamics of shared bike usage from 2019 to 2021. By distinguishing between weekday and weekend usage, we found different temporal patterns between trip volume and duration, and distinct spatial patterns of within- and between-region rides with respect to naturally separated regions. Overall, the results illustrate the resilience and the vital role of bike-sharing during the pandemic, consistent with previous observations on bike-sharing systems of a larger scale. Our study contributes to a comprehensive understanding of bike-sharing that calls for more research on smaller-scale systems under disruptive events such as the pandemic, which can greatly inform decision-makers from smaller sized cities and enable future studies to compare across different urban regions or modes of transportation.
新冠疫情的全球爆发从根本上重塑了人类的出行方式。与其他交通方式相比,自疫情爆发以来城市共享单车的时空模式如何演变尚未完全明晰,尤其是对于规模较小的共享单车系统而言。以匹兹堡为例,我们研究了2019年至2021年共享单车使用的时空动态变化。通过区分工作日和周末的使用情况,我们发现出行量和时长存在不同的时间模式,并且在自然分隔区域内和区域间骑行呈现出不同的空间模式。总体而言,研究结果表明了共享单车在疫情期间的韧性和重要作用,这与之前对更大规模共享单车系统的观察结果一致。我们的研究有助于全面了解共享单车情况,呼吁针对疫情等破坏性事件下的小规模系统开展更多研究,这可为规模较小城市的决策者提供重要信息,并使未来研究能够在不同城市区域或交通方式之间进行比较。