规划适应:确定灾害应对规划中的关键决策驱动因素

IF 1.7 3区 工程技术 Q3 ENGINEERING, CIVIL Civil Engineering and Environmental Systems Pub Date : 2021-01-02 DOI:10.1080/10286608.2021.1887155
Charlotte Brown, Josh L. Hayes, M. Milke
{"title":"规划适应:确定灾害应对规划中的关键决策驱动因素","authors":"Charlotte Brown, Josh L. Hayes, M. Milke","doi":"10.1080/10286608.2021.1887155","DOIUrl":null,"url":null,"abstract":"ABSTRACT Traditional disaster response plans are struggling to adapt to the increasingly complex, unique, and uncertain disaster impacts. Decision-making under deep uncertainty suggests the consideration of decision trigger points and adaptive processes to develop plans that are flexible for any oncoming challenge. Two disaster response planning situations are examined here: disaster waste management, and volcanic eruption clean-up. Both of these are examined in terms of how we can use adaptive processes to develop flexible plans oriented around key decision drivers. The indicators developed show that orienting plans around both hazard-centric drivers (level of earthquake shaking, ashfall depth) and impact-oriented descriptors (number of displaced people, hazard of waste) offer several benefits. Coupling the development of impact-oriented descriptors with scenario discovery and scenario planning will help disaster planners to identify key decisions, decision criteria and triggers that can be built into the planning process.","PeriodicalId":50689,"journal":{"name":"Civil Engineering and Environmental Systems","volume":"53 1","pages":"20 - 35"},"PeriodicalIF":1.7000,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Planning to adapt: identifying key decision drivers in disaster response planning\",\"authors\":\"Charlotte Brown, Josh L. Hayes, M. Milke\",\"doi\":\"10.1080/10286608.2021.1887155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Traditional disaster response plans are struggling to adapt to the increasingly complex, unique, and uncertain disaster impacts. Decision-making under deep uncertainty suggests the consideration of decision trigger points and adaptive processes to develop plans that are flexible for any oncoming challenge. Two disaster response planning situations are examined here: disaster waste management, and volcanic eruption clean-up. Both of these are examined in terms of how we can use adaptive processes to develop flexible plans oriented around key decision drivers. The indicators developed show that orienting plans around both hazard-centric drivers (level of earthquake shaking, ashfall depth) and impact-oriented descriptors (number of displaced people, hazard of waste) offer several benefits. Coupling the development of impact-oriented descriptors with scenario discovery and scenario planning will help disaster planners to identify key decisions, decision criteria and triggers that can be built into the planning process.\",\"PeriodicalId\":50689,\"journal\":{\"name\":\"Civil Engineering and Environmental Systems\",\"volume\":\"53 1\",\"pages\":\"20 - 35\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2021-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Civil Engineering and Environmental Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10286608.2021.1887155\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Civil Engineering and Environmental Systems","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10286608.2021.1887155","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 3

摘要

传统的灾害响应计划正在努力适应日益复杂、独特和不确定的灾害影响。深度不确定性下的决策建议考虑决策触发点和自适应过程,以制定灵活应对任何即将到来的挑战的计划。这里考察了两种灾害响应规划情况:灾害废物管理和火山爆发清理。根据我们如何使用自适应过程来制定针对关键决策驱动因素的灵活计划,对这两种方法进行了检查。所制定的指标表明,围绕以危险为中心的驱动因素(地震震动程度、火山灰深度)和以影响为导向的描述因素(流离失所人数、废物危害)制定的计划提供了若干好处。将面向影响的描述符的开发与情景发现和情景规划相结合,将有助于灾害规划人员识别可构建到规划过程中的关键决策、决策标准和触发器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Planning to adapt: identifying key decision drivers in disaster response planning
ABSTRACT Traditional disaster response plans are struggling to adapt to the increasingly complex, unique, and uncertain disaster impacts. Decision-making under deep uncertainty suggests the consideration of decision trigger points and adaptive processes to develop plans that are flexible for any oncoming challenge. Two disaster response planning situations are examined here: disaster waste management, and volcanic eruption clean-up. Both of these are examined in terms of how we can use adaptive processes to develop flexible plans oriented around key decision drivers. The indicators developed show that orienting plans around both hazard-centric drivers (level of earthquake shaking, ashfall depth) and impact-oriented descriptors (number of displaced people, hazard of waste) offer several benefits. Coupling the development of impact-oriented descriptors with scenario discovery and scenario planning will help disaster planners to identify key decisions, decision criteria and triggers that can be built into the planning process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Civil Engineering and Environmental Systems
Civil Engineering and Environmental Systems 工程技术-工程:土木
CiteScore
3.30
自引率
16.70%
发文量
10
审稿时长
>12 weeks
期刊介绍: Civil Engineering and Environmental Systems is devoted to the advancement of systems thinking and systems techniques throughout systems engineering, environmental engineering decision-making, and engineering management. We do this by publishing the practical applications and developments of "hard" and "soft" systems techniques and thinking. Submissions that allow for better analysis of civil engineering and environmental systems might look at: -Civil Engineering optimization -Risk assessment in engineering -Civil engineering decision analysis -System identification in engineering -Civil engineering numerical simulation -Uncertainty modelling in engineering -Qualitative modelling of complex engineering systems
期刊最新文献
Accuracy of stochastic finite element analyses for the safety assessment of unreinforced masonry shear walls Investigating the influencing parameters with automated scour severity detection using Bayesian neural networks Celebrating 40 years of the CEES journal Carbon footprint assessment of maintenance and rehabilitation techniques for sewer systems Systems methods and real world practice – Paul Jowitt’s pilgrimage in his writings for this journal
×
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