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Road network vulnerability and city-level characteristics: A nationwide comparative analysis of Japanese cities

机译:道路网络漏洞与城市层面特征:日本城市全国范围

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摘要

Climate change is making our cities more vulnerable, increasing the needs for further policy actions to make them more resilient. In particular, the transport network is critical in the first phase of disaster response. This study presents the epirical findings of a large scale, nationwide analysis of the road network vulnerability in 69 Japanese cities. We (1) identify the level of network efficiency using topological elements in its undisturbed normal state; (2) evaluate the level of network robustness under different random and targeted attack scenarios; and (3) analyze the relationship of the identified network efficiency and robustness indicators with city-level characteristics. The main findings include: (1) cities with a higher population and a higher infrastructure investment tend to be more robust under random attacks; (2) larger cities tend to be less robust to targeted attacks, presumably due to their high agglomeration of urban functions; (3) car dependency tends to make cities more vulnerable toward random attacks and less vulnerable toward targeted attacks as it indicates a weaker concentration in urban functions; and (4) a high modal share for trains tends to make cities less vulnerable toward random events as it indicates a high agglomeration of urban functions. These findings will help policymakers to prioritize their budget allocations to improve nationwide disaster resilience.
机译:气候变化使我们的城市更加脆弱,增加了进一步的政策行动的需求,使他们更具弹性。特别地,传输网络在灾害响应的第一阶段至关重要。本研究提出了大规模的外表发现,全国范围内的69个日本城市道路网络漏洞分析。我们(1)在不受干扰的正常状态下使用拓扑元素确定网络效率水平; (2)评估不同随机和有针对性的攻击情景下的网络稳健程度; (3)分析了所识别的网络效率和鲁棒性指标与城市级特征的关系。主要调查结果包括:(1)人口较高,基础设施投资较高的城市往往在随机攻击下更加强大; (2)较大的城市往往对目标攻击较低,可能是由于其城市功能的高分子; (3)汽车依赖倾向于使城市更容易受到随机攻击的影响,而且易受针对性攻击的群体,因为它表明城市功能较弱; (4)对列车的高模态份额倾向于使城市易受随机事件的群体,因为它表明城市功能的高凝聚。这些调查结果将帮助政策制定者优先考虑预算拨款,以改善全国范围内的灾难恢复力。

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