Model for Location of Medical Facility and Evaluation of Vulnerability and Accessibility of Road Network
Model for Location of Medical Facility and Evaluation of Vulnerability and Accessibility of Road Network
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DOI：
10.3141/2234-05
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发表时间：
2011-01
影响因子：
1.7
通讯作者：
Y. Shiomi;Yumiko Seto;N. Uno
中科院分区：
文献类型：
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作者：
Y. Shiomi;Yumiko Seto;N. Uno
本研究提出了一种方法来评估对自然灾害的道路网络的鲁棒性，并旨在确定医疗设施的最佳配置，如果道路网络发生退化，因为严重的自然灾害。连通性、脆弱性和可达性是评价公路网强度和可靠性的重要概念。本文首先介绍了一种新的网络评估措施，不同的路径为基础的可达性指数（DPAI），这是基于连接脆弱性和可达性的概念，考虑了一定的起点-目的地对之间的不同路径的数量，自由流旅行时间，在一个区域的机会的数量，并开发了一个解决方案的算法。然后，制定了一个医疗设施的位置模型，优化分配的医疗设施的每个质心根据DPAI，并将结果应用到一个真实的网络。尽管医疗设施的最优分配根据最小DPAI而变化，但是可以通过重新分配医疗设施来提高实际网络的鲁棒性。此外，分配结果取决于不同路径的数量上的重要性的值。这些结果意味着，它是至关重要的参数设置的重要性，不同的路径的数量，考虑到风险和地理特征的主题领域。
This study proposes a method of evaluating the robustness of a road network against a natural disaster and aims to determine the optimal allocation of medical facilities if road network degradation occurs because of severe natural disasters. Connectivity vulnerability and accessibility are important concepts in evaluating the strength and reliability of road networks. This paper first introduces a new network evaluation measure, the distinct paths–based accessibility index (DPAI), which is based on the concepts of both connectivity vulnerability and accessibility; considers the number of distinct paths between a certain origin–destination pair, free-flow travel time, and the number of opportunities in an area; and develops a solution algorithm. A medical facility location model that optimizes the allocation of a medical facility to each centroid according to the DPAI is then formulated, and the results are applied to a real network. Although the optimal allocation of a medical facility varies according to the minimum DPAI, the robustness of an actual network may be improved by reallocating medical facilities. Moreover, the allocation results depend on the value of the importance placed on the number of distinct paths. These results imply that it is critical to set the parameter on the importance of the number of distinct paths by considering risks and geographical features in the subject area.