Synergizing flood risk and road network dynamics for optimized evacuation strategies

Asian Transport Studies Pub Date : 2024-01-01 DOI:10.1016/j.eastsj.2024.100137

Chaiwat Yaibok , Piyapong Suwanno , Thaksakorn Pornbunyanon , Chollada Kanjanakul , Saksit Bumrungrat , Prasan Jitpat , Noriyasu Tsumita , Atsushi Fukuda

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Abstract

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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协同洪水风险和路网动态，优化疏散策略

为应对不断升级的气候威胁，本研究创新性地将洪水风险评估与道路网络动力学相结合，为洪水易发地区制定了优化的疏散策略。与传统框架相比，我们的方法采用了基于路径的交通模型和洪水风险指数，大大缩短了 25% 的旅行时间和 20% 的车时。在错综复杂的疏散系统中会出现复杂情况。第 4 区是一个关键节点，因为车辆流入量增加了 15%，而且存在独特的洪水风险。我们的方法不仅提高了疏散效率，还使燃料消耗量增加了 10%，同时突出了需要进一步优化的领域。本研究提出了一种完善的、可持续的疏散模型，该模型协调了洪水风险和交通动态，为气候不确定性下的弹性城市发展提供了启示。

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来源期刊

Asian Transport Studies

CiteScore

2.10

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0.00%

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