减少洪水风险政策的决策支持系统——以维琴察地区的防洪措施为例

IF 1.8 Q3 PUBLIC ADMINISTRATION Data & policy Pub Date : 2021-10-22 DOI:10.1017/dap.2021.23
Georgia Pantalona, F. Tsalakanidou, S. Nikolopoulos, I. Kompatsiaris, F. Lombardo, D. Norbiato, M. Ferri, L. Kovats, Holger Haberstock
{"title":"减少洪水风险政策的决策支持系统——以维琴察地区的防洪措施为例","authors":"Georgia Pantalona, F. Tsalakanidou, S. Nikolopoulos, I. Kompatsiaris, F. Lombardo, D. Norbiato, M. Ferri, L. Kovats, Holger Haberstock","doi":"10.1017/dap.2021.23","DOIUrl":null,"url":null,"abstract":"Abstract Climate change is one of the most significant and pressing issues faced by humanity; it frequently results in major natural disasters, such as catastrophic floods, which require the establishment of effective management policies by local and national authorities. These policies involve complex multistep decision-making processes that require combined assessment of various sources of data by different stakeholders. Even though an abundance of data is being collected to monitor climate change and estimate its consequences on the society, the environment, and the economy, policy-making is still largely based on intuition rather than evidence due to lack of a structured approach for modeling the decision-making process and considering the appropriate use of data in every step of the process. The goal of this work is to introduce a novel decision support system that can guide policy makers through a structured data-driven decision-making process aiming to create policies for flood risk management. The proposed system is a multifacet platform that guides policy makers through five phases—inform, advise, monitor, evaluate, and revise—of the policy cycle. For each phase, different dashboards provide relevant information regarding the environmental, social, and economic conditions. To demonstrate the potential of the proposed system, we use it to assess a flood protection policy in the city of Vicenza, Italy. The results reveal the benefits and challenges of the proposed decision support tool for public administrations involved in flood risk management.","PeriodicalId":93427,"journal":{"name":"Data & policy","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza\",\"authors\":\"Georgia Pantalona, F. Tsalakanidou, S. Nikolopoulos, I. Kompatsiaris, F. Lombardo, D. Norbiato, M. Ferri, L. Kovats, Holger Haberstock\",\"doi\":\"10.1017/dap.2021.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Climate change is one of the most significant and pressing issues faced by humanity; it frequently results in major natural disasters, such as catastrophic floods, which require the establishment of effective management policies by local and national authorities. These policies involve complex multistep decision-making processes that require combined assessment of various sources of data by different stakeholders. Even though an abundance of data is being collected to monitor climate change and estimate its consequences on the society, the environment, and the economy, policy-making is still largely based on intuition rather than evidence due to lack of a structured approach for modeling the decision-making process and considering the appropriate use of data in every step of the process. The goal of this work is to introduce a novel decision support system that can guide policy makers through a structured data-driven decision-making process aiming to create policies for flood risk management. The proposed system is a multifacet platform that guides policy makers through five phases—inform, advise, monitor, evaluate, and revise—of the policy cycle. For each phase, different dashboards provide relevant information regarding the environmental, social, and economic conditions. To demonstrate the potential of the proposed system, we use it to assess a flood protection policy in the city of Vicenza, Italy. The results reveal the benefits and challenges of the proposed decision support tool for public administrations involved in flood risk management.\",\"PeriodicalId\":93427,\"journal\":{\"name\":\"Data & policy\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data & policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/dap.2021.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data & policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/dap.2021.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 3

摘要

摘要气候变化是人类面临的最重大、最紧迫的问题之一;它经常导致重大自然灾害,如灾难性洪水,这需要地方和国家当局制定有效的管理政策。这些政策涉及复杂的多步骤决策过程,需要不同利益攸关方对各种数据来源进行综合评估。尽管正在收集大量数据来监测气候变化并估计其对社会、环境和经济的影响,但决策在很大程度上仍然基于直觉而非证据,因为缺乏结构化的方法来建模决策过程,并考虑在决策过程的每一步中适当使用数据。这项工作的目标是引入一种新的决策支持系统,该系统可以通过结构化的数据驱动决策过程指导决策者,旨在制定洪水风险管理政策。拟议的系统是一个多方面的平台,指导决策者完成政策周期的五个阶段——告知、建议、监测、评估和修订。对于每个阶段,不同的仪表盘提供有关环境、社会和经济条件的相关信息。为了证明拟议系统的潜力,我们用它来评估意大利维琴察市的防洪政策。研究结果揭示了拟议的决策支持工具对参与洪水风险管理的公共行政部门的好处和挑战。
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
Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza
Abstract Climate change is one of the most significant and pressing issues faced by humanity; it frequently results in major natural disasters, such as catastrophic floods, which require the establishment of effective management policies by local and national authorities. These policies involve complex multistep decision-making processes that require combined assessment of various sources of data by different stakeholders. Even though an abundance of data is being collected to monitor climate change and estimate its consequences on the society, the environment, and the economy, policy-making is still largely based on intuition rather than evidence due to lack of a structured approach for modeling the decision-making process and considering the appropriate use of data in every step of the process. The goal of this work is to introduce a novel decision support system that can guide policy makers through a structured data-driven decision-making process aiming to create policies for flood risk management. The proposed system is a multifacet platform that guides policy makers through five phases—inform, advise, monitor, evaluate, and revise—of the policy cycle. For each phase, different dashboards provide relevant information regarding the environmental, social, and economic conditions. To demonstrate the potential of the proposed system, we use it to assess a flood protection policy in the city of Vicenza, Italy. The results reveal the benefits and challenges of the proposed decision support tool for public administrations involved in flood risk management.
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
CiteScore
3.10
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
Determinants for university students’ location data sharing with public institutions during COVID-19: The Italian case Bus Rapid Transit: End of trend in Latin America? Accelerating and enhancing the generation of socioeconomic data to inform forced displacement policy and response “That is why users do not understand the maps we make for them”: Cartographic gaps between experts and domestic workers and the Right to the City Analysis of spatial–temporal validation patterns in Fortaleza’s public transport systems: a data mining approach
×
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