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从人类流动的角度看城市动态。

Urban dynamics through the lens of human mobility.

机构信息

MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China.

Department of City and Regional Planning, University of California, Berkeley, CA, USA.

出版信息

Nat Comput Sci. 2023 Jul;3(7):611-620. doi: 10.1038/s43588-023-00484-5. Epub 2023 Jul 10.

Abstract

The urban spatial structure represents the distribution of public and private spaces in cities and how people move within them. Although it usually evolves slowly, it can change quickly during large-scale emergency events, as well as due to urban renewal in rapidly developing countries. Here we present an approach to delineate such urban dynamics in quasi-real time through a human mobility metric, the mobility centrality index ΔKS. As a case study, we tracked the urban dynamics of eleven Spanish cities during the COVID-19 pandemic. The results revealed that their structures became more monocentric during the lockdown in the first wave, but kept their regular spatial structures during the second wave. To provide a more comprehensive understanding of mobility from home, we also introduce a dimensionless metric, KS, which measures the extent of home-based travel and provides statistical insights into the transmission of COVID-19. By utilizing individual mobility data, our metrics enable the detection of changes in the urban spatial structure.

摘要

城市空间结构代表了城市中公共和私人空间的分布以及人们在其中的移动方式。尽管它通常演变缓慢,但在大规模紧急事件期间以及在快速发展的国家进行城市更新时,它可能会迅速变化。在这里,我们通过一种人类流动性指标——流动性中心性指数 ΔKS 提出了一种准实时描绘这种城市动态的方法。作为一个案例研究,我们在 COVID-19 大流行期间跟踪了西班牙十一个城市的城市动态。结果表明,在第一波封锁期间,它们的结构变得更加单中心,但在第二波期间仍保持其常规的空间结构。为了更全面地了解居家出行的情况,我们还引入了一个无维度量 KS,它衡量了居家出行的程度,并提供了有关 COVID-19 传播的统计见解。通过利用个人移动数据,我们的指标能够检测城市空间结构的变化。

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