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The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events

文献类型：期刊论文

作者Ji, Tao1,2; Yao, Yanhong2; Dou, Yue2; Deng, Shejun2; Yu, Shijun2; Zhu, Yunqiang1; Liao, Huajun3
刊名SUSTAINABILITY
出版日期2022-04-01
卷号14期号:7页码:16
关键词transportation resilience compound extreme weather events climate change spatiotemporal dynamic evolution future trends
DOI10.3390/su14073880
通讯作者Ji, Tao(jitao@yzu.edu.cn) ; Zhu, Yunqiang(zhuyq@lreis.ac.cn)
英文摘要Global warming, sea-level rise, and rapid urbanization all increase the risk of compound extreme weather events, presenting challenges for the operation of urban-related infrastructure, including transportation infrastructure. In this context, some questions become important. For example, what are the temporal and spatial distribution and development trends of transportation resilience when considering the impact of multilpe extreme weather events on the urban transportation system? What is the degree of loss of urban transportation resilience (UT resilience) under different extreme event intensities, and how long will it take for the entire system to restore balance? In the future, if extreme weather events become more frequent and intense, what trends will urban transportation resilience show? Considering these problems, the current monitoring methods for transportation resilience under the influence of extreme events are lacking, especially the monitoring of the temporal and spatial dynamic changes of transportation resilience under the influence of compined extreme events. The development of big data mining technology and deep learning methods for spatiotemporal predictions made the construction of spatiotemporal data sets for evaluating and predicting UT resilience-intensity indicators possible. Such data sets reveal the temporal and spatial features and evolution of UT resilience intensity under the influence of compound extreme weather events, as well as the related future change trends. They indicate the key research areas that should be focused on, namely, the transportation resilience under climate warming. This work is especially important in planning efforts to adapt to climate change and rising sea levels and is relevant to policymakers, traffic managers, civil protection managers, and the general public.
WOS关键词DEEP LEARNING APPROACH ; NETWORK RESILIENCE ; SYSTEM RESILIENCE ; FLOW PREDICTION ; NEURAL-NETWORKS ; ROAD TRANSPORT ; VULNERABILITY ; INFRASTRUCTURE ; FRAMEWORK ; RECOVERY
资助项目Natural Science Foundation of Jiangsu Province[BK20210833] ; China Postdoctoral Science Foundation[2021M703175] ; Humanities and Social Science Research Planning Fund Project[19YJC630007]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000780742200001
出版者MDPI
资助机构Natural Science Foundation of Jiangsu Province ; China Postdoctoral Science Foundation ; Humanities and Social Science Research Planning Fund Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/174397]  
专题中国科学院地理科学与资源研究所
通讯作者Ji, Tao; Zhu, Yunqiang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Yangzhou Univ, Coll Architectural Sci & Engn, Yangzhou 225127, Jiangsu, Peoples R China
3.SuperMap Software Co Ltd, Beijing 100015, Peoples R China
推荐引用方式
GB/T 7714		 Ji, Tao,Yao, Yanhong,Dou, Yue,et al. The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events[J]. SUSTAINABILITY,2022,14(7):16.
APA Ji, Tao.,Yao, Yanhong.,Dou, Yue.,Deng, Shejun.,Yu, Shijun.,...&Liao, Huajun.(2022).The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events.SUSTAINABILITY,14(7),16.
MLA Ji, Tao,et al."The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events".SUSTAINABILITY 14.7(2022):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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