{"title":"海啸疏散风险缓解策略的风险知情评估","authors":"Zhenqiang Wang, G. Jia","doi":"10.1080/23789689.2022.2127270","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper proposes the risk-informed evaluation of different tsunami evacuation risk mitigation strategies to facilitate the identification of effective strategies that are robust to uncertainties. The tsunami evacuation risk (in terms of casualty rate) is used as a quantitative performance measure to compare different mitigation strategies. An improved agent-based model is used to simulate the tsunami evacuation. A simulation-based framework is used to quantify the tsunami evacuation risk, and various uncertainties associated with the evacuation are explicitly considered. Sensitivity analysis is performed to identify critical risk factors and guide the selection of candidate mitigation strategies. The concepts of importance sampling and augmented sample-based approach are used to efficiently evaluate the evacuation risk under different candidate strategies. The risk-informed evaluation of mitigation strategies is illustrated for the tsunami evacuation in Seaside, Oregon, where strategies such as route widening, bridge retrofit, building vertical shelter, preparedness education, and evacuation drill are compared.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"1008 - 1027"},"PeriodicalIF":2.7000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk-informed evaluation of tsunami evacuation risk mitigation strategies\",\"authors\":\"Zhenqiang Wang, G. Jia\",\"doi\":\"10.1080/23789689.2022.2127270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This paper proposes the risk-informed evaluation of different tsunami evacuation risk mitigation strategies to facilitate the identification of effective strategies that are robust to uncertainties. The tsunami evacuation risk (in terms of casualty rate) is used as a quantitative performance measure to compare different mitigation strategies. An improved agent-based model is used to simulate the tsunami evacuation. A simulation-based framework is used to quantify the tsunami evacuation risk, and various uncertainties associated with the evacuation are explicitly considered. Sensitivity analysis is performed to identify critical risk factors and guide the selection of candidate mitigation strategies. The concepts of importance sampling and augmented sample-based approach are used to efficiently evaluate the evacuation risk under different candidate strategies. The risk-informed evaluation of mitigation strategies is illustrated for the tsunami evacuation in Seaside, Oregon, where strategies such as route widening, bridge retrofit, building vertical shelter, preparedness education, and evacuation drill are compared.\",\"PeriodicalId\":45395,\"journal\":{\"name\":\"Sustainable and Resilient Infrastructure\",\"volume\":\"7 1\",\"pages\":\"1008 - 1027\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable and Resilient Infrastructure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23789689.2022.2127270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable and Resilient Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23789689.2022.2127270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Risk-informed evaluation of tsunami evacuation risk mitigation strategies
ABSTRACT This paper proposes the risk-informed evaluation of different tsunami evacuation risk mitigation strategies to facilitate the identification of effective strategies that are robust to uncertainties. The tsunami evacuation risk (in terms of casualty rate) is used as a quantitative performance measure to compare different mitigation strategies. An improved agent-based model is used to simulate the tsunami evacuation. A simulation-based framework is used to quantify the tsunami evacuation risk, and various uncertainties associated with the evacuation are explicitly considered. Sensitivity analysis is performed to identify critical risk factors and guide the selection of candidate mitigation strategies. The concepts of importance sampling and augmented sample-based approach are used to efficiently evaluate the evacuation risk under different candidate strategies. The risk-informed evaluation of mitigation strategies is illustrated for the tsunami evacuation in Seaside, Oregon, where strategies such as route widening, bridge retrofit, building vertical shelter, preparedness education, and evacuation drill are compared.
期刊介绍:
Sustainable and Resilient Infrastructure is an interdisciplinary journal that focuses on the sustainable development of resilient communities.
Sustainability is defined in relation to the ability of infrastructure to address the needs of the present without sacrificing the ability of future generations to meet their needs. Resilience is considered in relation to both natural hazards (like earthquakes, tsunami, hurricanes, cyclones, tornado, flooding and drought) and anthropogenic hazards (like human errors and malevolent attacks.) Resilience is taken to depend both on the performance of the built and modified natural environment and on the contextual characteristics of social, economic and political institutions. Sustainability and resilience are considered both for physical and non-physical infrastructure.