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Complex disaster response framework to reduce urban disaster vulnerability
Cities are vulnerable to a range of disasters that can occur simultaneously due to their complexity. Therefore, an effective disaster response plan is needed to reduce the disaster vulnerability of cities. In particular, evacuation route management is important for reducing the losses from a disaste...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450331/ https://www.ncbi.nlm.nih.gov/pubmed/36691679 http://dx.doi.org/10.1177/00368504231152770 |
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author | Choe, Taeyoung Kim, Jiho Shin, Mincheol Kim, Kwangyoung Kim, Mucheol |
author_facet | Choe, Taeyoung Kim, Jiho Shin, Mincheol Kim, Kwangyoung Kim, Mucheol |
author_sort | Choe, Taeyoung |
collection | PubMed |
description | Cities are vulnerable to a range of disasters that can occur simultaneously due to their complexity. Therefore, an effective disaster response plan is needed to reduce the disaster vulnerability of cities. In particular, evacuation route management is important for reducing the losses from a disaster. Efficient disaster response can be realized by searching for suitable evacuation routes and effective road network management. In this paper, we propose a disaster response framework based on a multilayered road network structure and evacuation routes based on our road network. The suggested road structure consists of three layers for the effective management of the network. An A* algorithm-based search for multiple evacuation routes under different conditions in response to an individual disaster on the configured road map provides a safe route for evacuees. As a result, the damage caused by disasters in urban areas can be ameliorated. |
format | Online Article Text |
id | pubmed-10450331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104503312023-08-26 Complex disaster response framework to reduce urban disaster vulnerability Choe, Taeyoung Kim, Jiho Shin, Mincheol Kim, Kwangyoung Kim, Mucheol Sci Prog The Application of AI and IoT for Controlling Traffic and Air Pollution: New Opportunities for Sustainable Mobility Cities are vulnerable to a range of disasters that can occur simultaneously due to their complexity. Therefore, an effective disaster response plan is needed to reduce the disaster vulnerability of cities. In particular, evacuation route management is important for reducing the losses from a disaster. Efficient disaster response can be realized by searching for suitable evacuation routes and effective road network management. In this paper, we propose a disaster response framework based on a multilayered road network structure and evacuation routes based on our road network. The suggested road structure consists of three layers for the effective management of the network. An A* algorithm-based search for multiple evacuation routes under different conditions in response to an individual disaster on the configured road map provides a safe route for evacuees. As a result, the damage caused by disasters in urban areas can be ameliorated. SAGE Publications 2023-01-23 /pmc/articles/PMC10450331/ /pubmed/36691679 http://dx.doi.org/10.1177/00368504231152770 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | The Application of AI and IoT for Controlling Traffic and Air Pollution: New Opportunities for Sustainable Mobility Choe, Taeyoung Kim, Jiho Shin, Mincheol Kim, Kwangyoung Kim, Mucheol Complex disaster response framework to reduce urban disaster vulnerability |
title | Complex disaster response framework to reduce urban disaster vulnerability |
title_full | Complex disaster response framework to reduce urban disaster vulnerability |
title_fullStr | Complex disaster response framework to reduce urban disaster vulnerability |
title_full_unstemmed | Complex disaster response framework to reduce urban disaster vulnerability |
title_short | Complex disaster response framework to reduce urban disaster vulnerability |
title_sort | complex disaster response framework to reduce urban disaster vulnerability |
topic | The Application of AI and IoT for Controlling Traffic and Air Pollution: New Opportunities for Sustainable Mobility |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450331/ https://www.ncbi.nlm.nih.gov/pubmed/36691679 http://dx.doi.org/10.1177/00368504231152770 |
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