Resilience of Interdependent Urban Socio-Physical Systems using Large-Scale Mobility Data: Modeling Recovery Dynamics

被引:28
|
作者
Yabe, Takahiro [1 ]
Rao, P. Suresh C. [1 ,2 ]
Ukkusuri, Satish V. [1 ]
机构
[1] Purdue Univ, Lyles Sch Civil Engn, 550 Stadium Mall Ave, W Lafayette, IN 47907 USA
[2] Purdue Univ, Dept Agron, 915 W State St, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
Resilience; Cities; Disasters; Socio-physical interdependencies; Mobility data; INFRASTRUCTURE; TRANSFORMATION; SIMULATION;
D O I
10.1016/j.scs.2021.103237
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cities are complex systems comprised of socioeconomic systems relying on critical services delivered by multiple physical infrastructure networks. Due to interdependencies between social and physical systems, disruptions caused by natural hazards may cascade across systems, amplifying the impact of disasters. Despite the increasing threat posed by climate change and rapid urban growth, how to design interdependencies between social and physical systems to achieve resilient cities have been largely unexplored. Here, we study the socio-physical interdependencies in urban systems and their effects on disaster recovery and resilience, using large-scale mobility data collected from Puerto Rico during Hurricane Maria. We find that as cities grow in scale and expand their centralized infrastructure systems, the recovery efficiency of critical services improves, however, curtails the selfreliance of socio-economic systems during crises. Results show that maintaining self-reliance among social systems could be key in developing resilient urban socio-physical systems for cities facing rapid urban growth.
引用
收藏
页数:10
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