Post-disaster recovery policy assessment of urban socio-physical systems

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-09-12 DOI:10.1016/j.compenvurbsys.2024.102184
Sangung Park , Takahiro Yabe , Satish V. Ukkusuri
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Abstract

The post-disaster recovery system is composed of the complex interplay between physical and social infrastructures. Despite the rise of coupled physical and social post-disaster recovery systems, less attention has been paid to the interdependent role of social support ties and physical infrastructure. This paper analyzes the data-driven models of post-disaster recovery system dynamics with the interdependence between the social and physical coupling to assess the post-disaster recovery policies. This paper utilizes the large-scale mobile phone location data, power outages, and socio-economic attributes for modeling the recovery dynamics during Hurricane Harvey in 2017. Parameter estimation results show that the model has regional heterogeneity and disparate impacts on socio-economic attributes to the model. The model's budget allocation scenarios also demonstrate that different budget allocation strategies affect the recovery period. The proposed model emphasizes the complex properties of the post-disaster recovery system and the importance of heterogeneous recovery policies across regions.

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城市社会物理系统灾后恢复政策评估
灾后恢复系统由物质基础设施和社会基础设施之间复杂的相互作用构成。尽管物理和社会耦合的灾后恢复系统正在兴起,但人们较少关注社会支持纽带和物理基础设施的相互依存作用。本文分析了灾后恢复系统动态的数据驱动模型与社会和物理耦合之间的相互依存关系,以评估灾后恢复政策。本文利用大规模手机定位数据、断电和社会经济属性,对2017年飓风哈维期间的灾后恢复动态进行建模。参数估计结果表明,模型具有区域异质性,社会经济属性对模型的影响也不尽相同。模型的预算分配方案也表明,不同的预算分配策略会影响恢复期。所提出的模型强调了灾后恢复系统的复杂属性以及不同地区异质性恢复政策的重要性。
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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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