Resilience in Infrastructure Systems: A Comprehensive Review

被引:8
|
作者
Liu, Wenque [1 ]
Shan, Ming [1 ]
Zhang, Sheng [1 ]
Zhao, Xianbo [2 ]
Zhai, Zhao [3 ]
机构
[1] Cent South Univ, Sch Civil Engn, 68 South Shaoshan Rd, Changsha 410004, Peoples R China
[2] Cent Queensland Univ, Sch Engn & Technol, 400 Kent St, Sydney, NSW 2000, Australia
[3] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, 960 Wanjiali Rd, Changsha 410205, Peoples R China
基金
中国国家自然科学基金;
关键词
infrastructure resilience; resilience improvement; simulation; green infrastructure; INTERDEPENDENT INFRASTRUCTURE; GREEN INFRASTRUCTURE; SEISMIC RESILIENCE; RESEARCH TREND; FRAMEWORK; METRICS; MODELS; ROBUSTNESS; NETWORK; ENHANCE;
D O I
10.3390/buildings12060759
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
When encountering crisis events, systems, organizations, and people must react and handle these unpredictable events. Under these circumstances, important social functions and infrastructures must be restored or adapted as quickly as possible. This capacity refers to resilience. Although considerable research has been conducted on the resilience of infrastructure systems over the past years, a critical review of these studies remains lacking. Therefore, this study aims to bridge the knowledge gap by presenting a comprehensive review of infrastructure research conducted in the past decade, namely, from 2011 to 2021. On the basis of a systematic search, this study identified 222 journal articles investigating infrastructure resilience. A review of the identified papers revealed five research streams in the area of infrastructure resilience (IR), namely, the assessment of infrastructure resilience, improvement of infrastructure resilience, conceptualizing infrastructure resilience from various perspectives, factors influencing infrastructure resilience, and the prediction of infrastructure resilience. This study also presented some directions that future research can pursue. These directions include analyzing factors influencing infrastructure resilience based on simulation, assessing the resilience of green infrastructure, improving the resilience of interdependent infrastructure, and predicting the resilience of infrastructure based on empirical research.
引用
收藏
页数:17
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