Measuring Urban Infrastructure Resilience via Pressure-State-Response Framework in Four Chinese Municipalities

被引:32
作者
Chen, Min [1 ]
Jiang, Yu [1 ]
Wang, Endong [2 ]
Wang, Yi [1 ]
Zhang, Jun [1 ]
机构
[1] Nantong Univ, Sch Transportat & Civil Engn, Nantong 226000, Peoples R China
[2] SUNY Syracuse, Sustainable Construct Engn Program, Syracuse, NY 13210 USA
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 06期
关键词
urban infrastructure; resilience; pressure-state-response; Chinese Municipalities; temporal differences; ECOLOGICAL RESILIENCE; SYSTEMS; VULNERABILITY; SECURITY; NEED;
D O I
10.3390/app12062819
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Urban infrastructure (UI), subject to ever-increasing stresses from artificial activities of human beings and natural disasters due to climate change, assumes a key role in modern cities for maintaining their functional operations. Therefore, understanding UI resilience turns essential. Based on the Pressure-State-Response (PSR) model, this paper built a comprehensive evaluation index system for urban infrastructure resilience evaluation. Four municipalities, including Beijing, Tianjin, Shanghai, and Chongqing in China, were selected for the case study, given their specific significance in terms of geographical location and urban infrastructure scale. Temporal differences of UI resilience in those four cities during 2002-2018 were explored. The results showed that: (1) The various stages of PSR relative importance for the urban infrastructure resilience development in the four cities were different. The infrastructure status, primarily resource environmental benefit, had the most significant effect on urban infrastructure resilience, accounting for 38.73%. (2) While Shanghai ranked first, the levels of urban infrastructure resilience in four cities were generally poor in 2002-2018 with continuously low resilience. (3) Significant differences were found in the resilience levels associated with the three stages of pressure, state and response failing to form a positive development cycle, with the poorest pressure resilience. This paper puts forward some recommendations for providing scientific support for urban resilient infrastructure development in four municipalities in China.
引用
收藏
页数:19
相关论文
共 59 条
[1]   A secure tri-level planner-disaster-risk-averse replanner model for enhancing the resilience of energy systems [J].
Aldarajee, Ammar H. M. ;
Hosseinian, Seyed H. ;
Vahidi, Behrooz .
ENERGY, 2020, 204
[2]   A framework for evaluating the persistence of urban drainage risk management systems [J].
Birgani, Yaser Tahmasebi ;
Yazdandoost, Farhad .
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2014, 8 (04) :330-342
[3]   Modeling vulnerability and resilience to climate change: A case study of India and Indian states [J].
Brenkert, AL ;
Malone, EL .
CLIMATIC CHANGE, 2005, 72 (1-2) :57-102
[4]   A framework to quantitatively assess and enhance the seismic resilience of communities [J].
Bruneau, M ;
Chang, SE ;
Eguchi, RT ;
Lee, GC ;
O'Rourke, TD ;
Reinhorn, AM ;
Shinozuka, M ;
Tierney, K ;
Wallace, WA ;
von Winterfeldt, D .
EARTHQUAKE SPECTRA, 2003, 19 (04) :733-752
[5]   Measuring improvements in the disaster resilience of communities [J].
Chang, SE ;
Shinozuka, M .
EARTHQUAKE SPECTRA, 2004, 20 (03) :739-755
[6]   Framework for analytical quantification of disaster resilience [J].
Cimellaro, Gian Paolo ;
Reinhorn, Andrei M. ;
Bruneau, Michel .
ENGINEERING STRUCTURES, 2010, 32 (11) :3639-3649
[7]  
Davidson-Hunt I.J., 2004, THESIS U MANITOBA WI
[8]  
Deng J., 2021, P 25 INT S ADV CONST, P1477
[9]   Study on risk assessment of water security of drought periods based on entropy weight methods [J].
Dong, Qianjin ;
Ai, Xueshan ;
Cao, Guangjing ;
Zhang, Yanmin ;
Wang, Xianjia .
KYBERNETES, 2010, 39 (06) :864-870
[10]   Resilience: The emergence of a perspective for social-ecological systems analyses [J].
Folke, Carl .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2006, 16 (03) :253-267