Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza
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 multi...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2021-01-01
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| Series: | Data & Policy |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2632324921000237/type/journal_article |
| _version_ | 1811156499905380352 |
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| author | Georgia Pantalona Filareti Tsalakanidou Spiros Nikolopoulos Ioannis Kompatsiaris Francesca Lombardo Daniele Norbiato Michele Ferri Laszlo Kovats Holger Haberstock |
| author_facet | Georgia Pantalona Filareti Tsalakanidou Spiros Nikolopoulos Ioannis Kompatsiaris Francesca Lombardo Daniele Norbiato Michele Ferri Laszlo Kovats Holger Haberstock |
| author_sort | Georgia Pantalona |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T04:51:39Z |
| format | Article |
| id | doaj.art-84128683255b42049b75d0346280e531 |
| institution | Directory Open Access Journal |
| issn | 2632-3249 |
| language | English |
| last_indexed | 2024-04-10T04:51:39Z |
| publishDate | 2021-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data & Policy |
| spelling | doaj.art-84128683255b42049b75d0346280e5312023-03-09T12:31:34ZengCambridge University PressData & Policy2632-32492021-01-01310.1017/dap.2021.23Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of VicenzaGeorgia Pantalona0https://orcid.org/0000-0002-6826-7161Filareti Tsalakanidou1https://orcid.org/0000-0002-5310-8045Spiros Nikolopoulos2https://orcid.org/0000-0002-1367-5133Ioannis Kompatsiaris3https://orcid.org/0000-0001-6447-9020Francesca Lombardo4Daniele Norbiato5Michele Ferri6Laszlo Kovats7Holger Haberstock8Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, GreeceInformation Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, GreeceInformation Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, GreeceInformation Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, GreeceAutorità di Bacino Distrettuale delle Alpi Orientali, 30121 Venice, ItalyAutorità di Bacino Distrettuale delle Alpi Orientali, 30121 Venice, ItalyAutorità di Bacino Distrettuale delle Alpi Orientali, 30121 Venice, ItalyEuroSoc#Digital gGmbH, 10827 Berlin, GermanyEuroSoc#Digital gGmbH, 10827 Berlin, GermanyClimate 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.https://www.cambridge.org/core/product/identifier/S2632324921000237/type/journal_articledashboardsdecision support systemeconomic–social–environmental dataflood protectionpolicy making |
| spellingShingle | Georgia Pantalona Filareti Tsalakanidou Spiros Nikolopoulos Ioannis Kompatsiaris Francesca Lombardo Daniele Norbiato Michele Ferri Laszlo Kovats Holger Haberstock Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza Data & Policy dashboards decision support system economic–social–environmental data flood protection policy making |
| title | Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza |
| title_full | Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza |
| title_fullStr | Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza |
| title_full_unstemmed | Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza |
| title_short | Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza |
| title_sort | decision support system for flood risk reduction policies the case of a flood protection measure in the area of vicenza |
| topic | dashboards decision support system economic–social–environmental data flood protection policy making |
| url | https://www.cambridge.org/core/product/identifier/S2632324921000237/type/journal_article |
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