重回正轨:利用位置服务数据了解COVID-19对城市交通和隔离的影响

Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li
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摘要

了解2019冠状病毒病对城市生活节奏的影响,对于加快恢复正常进程和展望更具韧性和包容性的城市至关重要。以往的研究要么依赖于小规模调查,要么侧重于对初始封锁的响应,而本文利用大规模的位置服务数据,系统分析了大流行前、封锁和重新开放三个不同阶段的城市交通行为变化。我们的分析揭示了大多数城市场馆流动性行为变化的两种典型模式:以日常生活为中心的城市场馆在封城期间流动性下降幅度较小,重新开放后恢复较快,而以工作为中心的城市场馆流动性下降幅度较大,即使重新开放后也可能持续存在。这种流动性行为的变化对潜在的社会结构产生了更深层次的影响,其中流动性降低的水平与该城市场所的隔离程度呈正相关。因此,流动性减少的城市场所也更多地挤满了来自同质社会人口背景的人。此外,流动行为的变化在地理区域间表现出显著的异质性,这在很大程度上可以用州一级的党派倾向来解释。我们的研究表明,位置服务数据在及时全面了解城市空间的社会动态方面具有巨大潜力,这对于在“后流行病时代”逐步过渡到正常生活方式具有重要价值。
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Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data
Understanding the impact of COVID-19 on urban life rhythms is crucial for accelerating the return-to-normal progress and envisioning more resilient and inclusive cities. While previous studies either depended on small-scale surveys or focused on the response to initial lockdowns, this paper uses large-scale location service data to systematically analyze the urban mobility behavior changes across three distinct phases of the pandemic, i.e., pre-pandemic, lockdown, and reopen. Our analyses reveal two typical patterns that govern the mobility behavior changes in most urban venues: daily life-centered urban venues go through smaller mobility drops during the lockdown and more rapid recovery after reopening, while work-centered urban venues suffer from more significant mobility drops that are likely to persist even after reopening. Such mobility behavior changes exert deeper impacts on the underlying social fabric, where the level of mobility reduction is positively correlated with the experienced segregation at that urban venue. Therefore, urban venues undergoing more mobility reduction are also more filled with people from homogeneous socio-demographic backgrounds. Moreover, mobility behavior changes display significant heterogeneity across geographical regions, which can be largely explained by the partisan inclination at the state level. Our study shows the vast potential of location service data in deriving a timely and comprehensive understanding of the social dynamic in urban space, which is valuable for informing the gradual transition back to the normal lifestyle in a “post-pandemic era”.
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