风险的节奏:利用救护车呼叫数据探索城市脆弱性的时空模式

IF 2.6 3区 经济学 Q2 ENVIRONMENTAL STUDIES
Mikhail Sirenko, Tina Comes, Alexander Verbraeck
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引用次数: 0

摘要

城市脆弱性受到气候变化、不平等现象加剧、城市快速发展和基础设施不足所导致的灾害模式变化的影响。虽然我们对城市脆弱性在空间上的变化有了相对深入的了解,但对城市脆弱性在时间上的动态变化却知之甚少。本文提出了一个评估城市脆弱性的时空框架,以弥补这一不足。我们将该框架应用于荷兰的阿姆斯特丹、鹿特丹和海牙。利用高分辨率的匿名救护车呼叫以及社会经济、建筑环境和邻近性数据,我们确定了三种时间模式:中午高峰"、"早起的鸟儿 "和 "全天候"。每种模式都代表了一种独特的风险节奏,这种风险节奏来自于不同人口和社会经济背景的人群之间的互动,以及他们在不同城市环境中日常活动的时间流。我们的研究结果还凸显了现代荷兰城市的多中心性质,在人口密度不同的地区也出现了类似的节奏。通过这些案例研究,我们证明了我们的框架揭示了城市脆弱性的时空动态。这些见解表明,有必要采用更细致的方法来评估城市脆弱性并加强备灾工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The rhythm of risk: Exploring spatio-temporal patterns of urban vulnerability with ambulance calls data
Urban vulnerability is affected by changing patterns of hazards due to climate change, increasing inequalities, rapid urban growth and inadequate infrastructure. While we have a relatively good understanding of how urban vulnerability changes in space, we know relatively little about the temporal dynamics of urban vulnerability. This paper presents a framework to assess urban vulnerability over time and space to address this gap. We apply the framework to Amsterdam, Rotterdam, and The Hague, the Netherlands. Using high-resolution, anonymised ambulance calls and socio-economic, built environment, and proximity data, we identify three temporal patterns: ’Midday Peaks’, ’Early Birds’, and ’All-Day All-Night’. Each pattern represents a unique rhythm of risk arising from the interaction of people with diverse demographic and socio-economic backgrounds and the temporal flow of their daily activities within various urban environments. Our findings also highlight the polycentric nature of modern Dutch cities, where similar rhythms emerge in areas with varying population densities. Through these case studies, we demonstrate that our framework uncovers the spatio-temporal dynamics of urban vulnerability. These insights suggest that a more nuanced approach is necessary for assessing urban vulnerability and enhancing preparedness efforts.
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来源期刊
CiteScore
6.10
自引率
11.40%
发文量
159
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