Investigation of effects of hazard geometry and mitigation strategies on community resilience under tornado hazards using an Agent-based modeling approach

Xu Han , Maria Koliou
{"title":"Investigation of effects of hazard geometry and mitigation strategies on community resilience under tornado hazards using an Agent-based modeling approach","authors":"Xu Han ,&nbsp;Maria Koliou","doi":"10.1016/j.rcns.2024.03.003","DOIUrl":null,"url":null,"abstract":"<div><p>A large number of communities are impacted annually by the increasing frequency of tornado hazards resulting in damage to the infrastructure as well as disruption of community functions. The effect of the hazard geometry (center and angle of tornado path as well as the tornado width) is studied herein on how it influences the recovery of physical and social systems within the community. Given that pre-disaster preparedness including mitigation strategies (e.g., retrofits) and policies (e.g., insurance) is crucial for increasing the resilience of the community and facilitating a faster recovery process, in this study, the impact of various mitigation strategies and policies on the recovery trajectory and resilience of a typical US community subjected to a tornado is investigated considering different sources of uncertainties. The virtual testbed of Centerville is selected in this paper and is modeled by adopting the Agent-based modeling (ABM) approach which is a powerful tool for conducting community resilience analysis that simulates the behavior of different types of agents and their interactions to capture their interdependencies. The results are presented in the form of recovery time series as well as calculated resilience indices for various community systems (lifeline networks, schools, healthcare, businesses, and households). The results of this study can help deepen our understanding of how to efficiently expedite the recovery process of a community.</p></div>","PeriodicalId":101077,"journal":{"name":"Resilient Cities and Structures","volume":"3 2","pages":"Pages 1-19"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772741624000061/pdfft?md5=388d219140ec9b89a5f251b325989c5b&pid=1-s2.0-S2772741624000061-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resilient Cities and Structures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772741624000061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A large number of communities are impacted annually by the increasing frequency of tornado hazards resulting in damage to the infrastructure as well as disruption of community functions. The effect of the hazard geometry (center and angle of tornado path as well as the tornado width) is studied herein on how it influences the recovery of physical and social systems within the community. Given that pre-disaster preparedness including mitigation strategies (e.g., retrofits) and policies (e.g., insurance) is crucial for increasing the resilience of the community and facilitating a faster recovery process, in this study, the impact of various mitigation strategies and policies on the recovery trajectory and resilience of a typical US community subjected to a tornado is investigated considering different sources of uncertainties. The virtual testbed of Centerville is selected in this paper and is modeled by adopting the Agent-based modeling (ABM) approach which is a powerful tool for conducting community resilience analysis that simulates the behavior of different types of agents and their interactions to capture their interdependencies. The results are presented in the form of recovery time series as well as calculated resilience indices for various community systems (lifeline networks, schools, healthcare, businesses, and households). The results of this study can help deepen our understanding of how to efficiently expedite the recovery process of a community.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用基于代理的建模方法,调查龙卷风危害下危害几何和减灾战略对社区恢复力的影响
龙卷风危害的发生频率越来越高,每年都有大量社区受到龙卷风危害的影响,导致基础设施受损,社区功能遭到破坏。本文研究了龙卷风危害的几何效应(龙卷风路径的中心和角度以及龙卷风的宽度)如何影响社区内物理和社会系统的恢复。鉴于包括减灾策略(如改造)和政策(如保险)在内的灾前准备对于提高社区的恢复能力和促进更快的恢复过程至关重要,本研究考虑了不同的不确定性来源,研究了各种减灾策略和政策对遭受龙卷风袭击的典型美国社区的恢复轨迹和恢复能力的影响。本文选取森特维尔作为虚拟试验平台,采用基于代理的建模(ABM)方法对其进行建模,该方法是进行社区恢复力分析的有力工具,可模拟不同类型代理的行为及其相互作用,以捕捉它们之间的相互依存关系。研究结果以恢复时间序列的形式呈现,并计算了各种社区系统(生命线网络、学校、医疗保健、企业和家庭)的恢复力指数。这项研究的结果有助于加深我们对如何有效加快社区恢复进程的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.20
自引率
0.00%
发文量
0
期刊最新文献
Automated knowledge graphs for complex systems (AutoGraCS): Applications to management of bridge networks Uncovering implicit Seismogenic associated regions towards promoting urban resilience Building Stock and Emission Models for Jakarta Key networks to create disaster resilient Smart Cities Mission: A case for remodeling India's Smart Cities Mission to include disaster resilience Landslide-oriented disaster resilience evaluation in mountainous cities: A case study in Chongqing, China
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1