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首页> 外文期刊>MATEC Web of Conferences >Decoding network patterns for urban disaster prevention by comparing Neihu district of Taipei and Sumida district of Tokyo
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Decoding network patterns for urban disaster prevention by comparing Neihu district of Taipei and Sumida district of Tokyo

机译：通过比较台北市内湖区和东京墨田区的城市防灾解码网络模式

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In this study, we performed routes network transport and emergency shelters capacity rate analyses to determine the accessibility and efficacy of urban patterns, and established a quantitative method for supplying priorities for actions of "Sendai Framework for Disaster Risk Reduction 2015-2030". By comparing two case studies, we used Space Syntax to develop two important indicators, Rn and CR, to present geographic information and hazard risk in a physical environment. This research also found potential function of Rn and decoded some patterns for urban planners or decision makers as follows：The most efficient configuration of the road network was not in the old areas of these two case studies because the several turns decreased the connectivity of the networks. And the CR indicator shown other findings about the quality of public facilities and services as follows：The service capacity of the emergency shelters was surveyed to indicate a higher correlation of residents population and preparedness security for disaster management. Therefore, with finding some risks that had not been encountered before, we addressed this proposed method is feasible and reliable to enhance the disaster preparedness for action regarding the 4th priority of “Sendai Framework for Disaster Risk Reduction 2015-2030”.
机译：在这项研究中，我们进行了路线网络运输和紧急避难所容量率分析，以确定城市格局的可及性和有效性，并建立了定量方法来为“ 2015-2030年仙台减少灾害风险框架”的行动提供优先次序。通过比较两个案例研究，我们使用空间语法开发了两个重要指标Rn和CR，以表示物理环境中的地理信息和危害风险。该研究还发现了Rn的潜在功能，并为城市规划人员或决策者提供了一些解码模式，如下所示：在这两个案例研究的较旧区域中，最有效的道路网络配置并不是在旧区域，因为几次转弯会降低网络的连通性。 CR指标还显示了其他有关公共设施和服务质量的发现：对紧急避难所的服务能力进行了调查，表明居民人口与灾害管理的准备安全性相关性更高。因此，在找到一些以前从未遇到过的风险之后，我们提出了一种建议的方法，该方法可行且可靠，可以增强针对“ 2015-2030仙台减少灾害风险框架”的第四优先级采取行动的灾难准备。

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