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dc.contributor.authorLin, Chi-Ying
dc.contributor.authorWang, Ting-Yau
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T11:02:17Z
dc.date.available2023-08-03T11:02:17Z
dc.date.issued2023
dc.identifier.citationTing-Yau Wang, Chi-Ying Lin, Climate Change Impact on Urban Resilience under Typhoon Disasters Considering Interdependent Infrastructure Systems, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractThe functionality of a resilient infrastructure system would be less impacted and quicker recovery under disasters. This study aims to investigate the resilience of a city in Taiwan under typhoon disasters and the potential climate change impact on its resilience measures. This study simplifies electric power and road networks to establish an interdependent mathematical model of these two systems of Kaohsiung, Taiwan. The hazard models, fragility models, and recovery models under typhoon disasters of the two systems are established, and the recovery of functionality of all nodes after a typhoon event is used to evaluate the resilience of the system. The interdependent matrices of the two systems and the network connectivity after disasters are used to analyze the restoration time of the city. Then, the systemメs performance and repair time differences between separate and interdependent models are compared. In addition, as typhoon wind speed intensifies due to climate change, it is possible to confront more severe typhoons in the future. Thus, the wind speed in the hazard model is increased to investigate its potential impact on urban resilience and to serve as a reference for future community resilience planning.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleClimate Change Impact on Urban Resilience under Typhoon Disasters Considering Interdependent Infrastructure Systems
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess
dc.identifier.urihttp://hdl.handle.net/2262/103269


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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