Abstract This study investigates the impact of extreme weather events on urban human flow disruptions using location-based service data obtained from Baidu Map. Utilizing the 2018 Typhoon Mangkhut as an example, the spatial and temporal variations of urban human flow patterns in Shenzhen are examined using GIS and spatial flow analysis. In addition, the variation of human flow by different urban functions (e.g. transport, recreational, institutional, commercial and residential related facilities) is also examined through an integration of flow data and point-of-interest (POI) data. The study reveals that urban flow patterns varied substantially before, during, and after the typhoon. Specifically, urban flows were found to have reduced by 39% during the disruption. Conversely, 56% of flows increased immediately after the disruption. In terms of functional variation, the assessment reveals that fundamental urban functions, such as industrial (work) and institutional - (education) related trips experienced less disruption, whereas the typhoon event appears to have a relatively larger negative influence on recreational related trips. Overall, the study provides implications for planners and policy makers to enhance urban resilience to disasters through a better understanding of the urban vulnerability to disruptive events.

中文翻译：

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极端天气事件对城市人流的影响：基于位置服务数据的视角

摘要 本研究利用从百度地图获取的基于位置的服务数据，研究极端天气事件对城市人流中断的影响。以2018年台风山竹为例，利用GIS和空间流分析，考察了深圳城市人流格局的时空变化。此外，还通过人流数据和兴趣点 (POI) 数据的集成来检查不同城市功能（例如交通、娱乐、机构、商业和住宅相关设施）对人流的变化。研究表明，在台风之前、期间和之后，城市流动模式发生了很大变化。具体而言，发现在中断期间城市流量减少了 39%。相反，56% 的流量在中断后立即增加。在功能变化方面，评估显示基本城市功能，如工业（工作）和机构（教育）相关旅行受到的干扰较少，而台风事件似乎对休闲相关旅行产生了相对较大的负面影响。总体而言，该研究为规划者和政策制定者提供了启示，以通过更好地了解城市对破坏性事件的脆弱性来增强城市的抗灾能力。