Untangling the relationship between power outage and population activity recovery in disasters  

作　　者：Chia-Wei Hsu Ali Mostafavi 

机构地区：[1]Urban Resilience.AI Lab Zachry Department of Civil&Environmental Engineering,3136,TAMU,College Station,TX,77843,USA

出　　处：《Resilient Cities and Structures》2024年第3期53-64,共12页韧性城市与结构（英文）

基　　金：supported by the National Science Foundation under CRISP 2.0 Type 2 No.1832662;the Texas A&M University X-Grant 699.

摘　　要：Despite recognition of the relationship between infrastructure resilience and community recovery,very limited empirical evidence exists regarding the extent to which the disruptions in and restoration of infrastructure ser-vices contribute to the speed of community recovery.To address this gap,this study investigates the relationship between community and infrastructure systems in the context of hurricane impacts,focusing on the recovery dy-namics of population activity and power infrastructure restoration.Empirical observational data were utilized to analyze the extent of impact,recovery duration,and recovery types of both systems in the aftermath of Hurricane Ida.The study reveals three key findings.First,power outage duration positively correlates with outage extent until a certain impact threshold is reached.Beyond this threshold,restoration time remains relatively stable re-gardless of outage magnitude.This finding underscores the need to strengthen power infrastructure,particularly in extreme weather conditions,to minimize outage restoration time.Second,power was fully restored in 70% of affected areas before population activity levels normalized.This finding suggests the role infrastructure function-ality plays in post-disaster community recovery.Quicker power restoration did not equate to rapid population activity recovery due to other possible factors such as transportation,housing damage,and business interruptions.Finally,if power outages last beyond two weeks,community activity resumes before complete power restoration,indicating adaptability in prolonged outage scenarios.This implies the capacity of communities to adapt to on-going power outages and continue daily life activities.These findings offer valuable empirical insights into the interaction between human activities and infrastructure systems,such as power outages,during extreme weather events.They also enhance our empirical understanding of how infrastructure resilience influences community recovery.By identifying the critical thresholds for p

关 键 词：Infrastructure resilience Community recovery Power outage Human mobility Location-based data Weather hazard 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]