{"title":"协同洪水风险和路网动态，优化疏散策略","authors":"Chaiwat Yaibok , Piyapong Suwanno , Thaksakorn Pornbunyanon , Chollada Kanjanakul , Saksit Bumrungrat , Prasan Jitpat , Noriyasu Tsumita , Atsushi Fukuda","doi":"10.1016/j.eastsj.2024.100137","DOIUrl":null,"url":null,"abstract":"<div><p>In response to escalating climatic threats, this research innovatively integrates flood risk assessment with road network dynamics to formulate optimized evacuation strategies in flood-susceptible regions. Employing a path-based traffic model and flood risk index, our method significantly decreases travel durations by 25% and vehicle hours by 20% compared to traditional frameworks. Complexities arise in intricate evacuation systems. Zone 4 was a critical node due to a 15% rise in vehicular inflow and unique flood risks, emphasizing the necessity for tailored evacuation plans considering variable traffic and flood risks. Our approach enhanced evacuation efficiency and also resulted in a 10% increase in fuel consumption while highlighting areas for further optimization. This study proposes a refined, sustainable evacuation model that harmonizes flood risks and traffic dynamics and offers insights for resilient urban development amid climatic uncertainties.</p></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"10 ","pages":"Article 100137"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2185556024000154/pdfft?md5=3ff39f9e196c484a97d147ce2d6ee85c&pid=1-s2.0-S2185556024000154-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Synergizing flood risk and road network dynamics for optimized evacuation strategies\",\"authors\":\"Chaiwat Yaibok , Piyapong Suwanno , Thaksakorn Pornbunyanon , Chollada Kanjanakul , Saksit Bumrungrat , Prasan Jitpat , Noriyasu Tsumita , Atsushi Fukuda\",\"doi\":\"10.1016/j.eastsj.2024.100137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In response to escalating climatic threats, this research innovatively integrates flood risk assessment with road network dynamics to formulate optimized evacuation strategies in flood-susceptible regions. Employing a path-based traffic model and flood risk index, our method significantly decreases travel durations by 25% and vehicle hours by 20% compared to traditional frameworks. Complexities arise in intricate evacuation systems. Zone 4 was a critical node due to a 15% rise in vehicular inflow and unique flood risks, emphasizing the necessity for tailored evacuation plans considering variable traffic and flood risks. Our approach enhanced evacuation efficiency and also resulted in a 10% increase in fuel consumption while highlighting areas for further optimization. This study proposes a refined, sustainable evacuation model that harmonizes flood risks and traffic dynamics and offers insights for resilient urban development amid climatic uncertainties.</p></div>\",\"PeriodicalId\":100131,\"journal\":{\"name\":\"Asian Transport Studies\",\"volume\":\"10 \",\"pages\":\"Article 100137\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2185556024000154/pdfft?md5=3ff39f9e196c484a97d147ce2d6ee85c&pid=1-s2.0-S2185556024000154-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Transport Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2185556024000154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Transport Studies","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2185556024000154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synergizing flood risk and road network dynamics for optimized evacuation strategies
In response to escalating climatic threats, this research innovatively integrates flood risk assessment with road network dynamics to formulate optimized evacuation strategies in flood-susceptible regions. Employing a path-based traffic model and flood risk index, our method significantly decreases travel durations by 25% and vehicle hours by 20% compared to traditional frameworks. Complexities arise in intricate evacuation systems. Zone 4 was a critical node due to a 15% rise in vehicular inflow and unique flood risks, emphasizing the necessity for tailored evacuation plans considering variable traffic and flood risks. Our approach enhanced evacuation efficiency and also resulted in a 10% increase in fuel consumption while highlighting areas for further optimization. This study proposes a refined, sustainable evacuation model that harmonizes flood risks and traffic dynamics and offers insights for resilient urban development amid climatic uncertainties.
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