How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics

作者：Aoyong Li, Pengxiang Zhao, Haitao He, Ali Mansourian, Kay Werner Axhausen · 发表于：Computers Environment and Urban Systems · 年份：2021 · DOI：10.1016/j.compenvurbsys.2021.101703 · 被引用次数：117 · 研究领域：Urban Transport and Accessibility、Human Mobility and Location-Based Analysis、Transportation Planning and Optimization

Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in micro-mobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland. Specifically, docked bike, docked e-bike, and dockless e-bike are evaluated and compared from the perspective of space, time and semantics. First, the spatial and temporal analysis results uncover that the number of trips decreased remarkably during the lockdown period. The striking difference between the normal and lockdown period is the decline in the peak hours of workdays. Second, the origin-destination flows are used to construct spatially embedded networks. The results suggest that the origin-destination pairs remain similar during the lockdown period, while the numbers of trips between each origin-destination pair is reduced due to COVID-19 pandemic. Finally, the semantic analysis is conducted to uncover the changes in trip purpose. It is revealed that the proportions of Home, Park, and Grocery activities increase, while the proportions of Leisure and Shopping activities decrease durin...