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Large scale evacuation of carless people during short- and long-notice emergency.

机译:在短期和长期注意的紧急情况下大规模疏散粗心的人。

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摘要

During an emergency evacuation, most people will use their vehicles to evacuate. However, there is a group of people who do not have access to reliable transportation or for some reason cannot drive, even if they have their own automobiles -- the carless. There are different groups of carless (disabled, medically homebound, poor or immigrant populations, etc.) who require different forms of transportation assistance during an emergency evacuation. In this study we focus on those carless who are physically intact and able to walk to a set of designated locations for transportation during an emergency, and we propose using public transit and school buses to evacuate this carless group. A model has been developed to accommodate the use of public transit and school buses to efficiently and effectively evacuate the carless. The model has two parts. Part 1 is a location problem which aims at congregating the carless at some specific locations called evacuation sites inside the affected area. To achieve this goal, the affected area is partitioned into zones and this congregating of the carless has been formulated as a Single Source Capacitated Facility Location Problem. Changes in the demand of the carless in zones over different periods of a day and over different days of the week have been considered and included in the model. A walking time constraint is explicitly considered in the model. A heuristic developed by Klincewicz and Luss (1986) has been used to solve this location model.
机译:在紧急疏散期间,大多数人将使用其车辆疏散。但是,仍有一群人无法获得可靠的交通,或者由于某种原因而无法开车,即使他们有自己的汽车-无人驾驶汽车。在紧急疏散期间,有不同类别的无车者(残疾人,有医疗的住所,贫穷或移民人口等),他们需要不同形式的运输援助。在本研究中,我们重点关注那些身体完好无损且能够在紧急情况下步行至指定地点进行交通运输的无人驾驶汽车,并且我们建议使用公共交通和校车疏散该无人驾驶汽车。已经开发了一种模型,以适应公共交通和校车的使用,从而有效地疏散无人驾驶汽车。该模型分为两个部分。第一部分是一个位置问题,旨在将无人驾驶汽车聚集在受影响区域内被称为疏散地点的某些特定位置。为了实现此目标,将受影响的区域划分为多个区域,而无人驾驶汽车的这种聚集被公式化为“单源容量设施定位问题”。模型中已考虑了一天中不同时段和一周中不同天的区域无人驾驶汽车需求的变化。在模型中明确考虑了步行时间约束。由Klincewicz和Luss(1986)开发的启发式方法已用于解决此位置模型。

著录项

  • 作者

    Chan, Chi Pak.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Engineering Civil.;Computer Science.;Operations Research.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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