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中国管理科学 ›› 2021, Vol. 29 ›› Issue (3): 133-142.doi: 10.16381/j.cnki.issn1003-207x.2021.03.13

• 论文 • 上一篇    下一篇

基于手机定位数据的突发事件下道路修复和物资配送集成优化研究

张梦玲1, 王晶1, 黄钧2, 焦子豪3   

  1. 1. 北京工商大学电商与物流学院, 北京 100048;
    2. 中国科学院大学工程科学学院, 北京 100049;
    3. 北京工商大学国际经管学院, 北京 100048
  • 收稿日期:2019-11-11 修回日期:2020-04-03 发布日期:2021-04-02
  • 通讯作者: 王晶(1982-),男(回族),河北邯郸人,北京工商大学电商与物流学院,教授,博士生导师,研究方向:应急物流、决策理论与方法,E-mail:wangjingjob2010@126.com. E-mail:wangjingjob2010@126.com
  • 作者简介:王晶(1982-),男(回族),河北邯郸人,北京工商大学电商与物流学院,教授,博士生导师,研究方向:应急物流、决策理论与方法,E-mail:wangjingjob2010@126.com.
  • 基金资助:
    北京市社会科学基金资助项目(18GLC074);国家自然科学基金资助项目(71603054);北京工商大学青年教师科研启动基金(QNJJ2021-58)

Research on the Integrated Optimization of Road Repair and Relief Distribution Based on Mobile Phone Location Data

ZHANG Meng-ling1, WANG Jing1, HUANG Jun2, JIAO Zi-hao3   

  1. 1. School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China;
    2. School of Engineering and Science, University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of International Economics and Management, Beijing Technology and Business University, Beijing 100048, China
  • Received:2019-11-11 Revised:2020-04-03 Published:2021-04-02

摘要: 应急道路的修复是突发事件发生后有效开展物资配送的前提,而道路修复和物资配送二者集成研究极大地提高整个应急救援效率。但是由于灾害的突发性和不确定性,决策者很难立即获取充分的灾情信息,尤其是灾民分布情况、位置、灾害影响和物资需求等信息。传统的获取灾情信息的方法通常是通过救援人员的现场报导和调查,卫星图像等,阻碍了救援活动的迅速开展,效率低下。手机等移动设备的普及和广泛应用,使得手机定位数据为灾害情况下的应急救援提供了更加快捷的信息获取手段,大大提高了应急救援的效率。本文基于手机定位数据,同时结合道路修复和物资配送二者的相互关系,建立了混合整数线性规划模型,通过手机定位数据获取灾民分布情况、位置、灾害影响和物资需求等信息,实现精准道路修复和物资配送的决策,并设计了相应的启发式求解算法。最后通过算例仿真验证了模型和算法的有效性,同时将手机定位数据下的救援结果与缺少手机定位数据的常规救援结果进行比较分析,验证了文章所提出的手机定位数据的应用在应急救援方面的优势。

关键词: 手机定位数据, 道路修复, 物资配送, 集成优化

Abstract: When a sudden-onset disaster occurs, it will be difficult to distribute relief goods to the affected areas because the destruction of roads. Therefore, it is necessary to conduct research on post-disaster road repair and transport relief goods to the disaster area as soon as possible. In addition, the integrated research of road repair and relief distribution greatly improves the efficiency of the entire emergency rescue.However, because of the suddenness and uncertainty of disasters, it is difficult for decision makers to obtain enough disaster information immediately, especially victim distribution, location, disaster impact and relief demand information. The traditional methods of obtaining disaster information are usually through the on-site reporting and investigation of rescuers, and satellite images, which hinders the rapid development of rescue activities and bring about low efficiency. The popularity and wide application of mobile phoneshave made mobile phone location data provide a faster means of information acquisition for emergency rescue in disaster situations, greatly improving the efficiency of emergency rescue.
In this paper, based on the mobile phone location data, combined with the relationship between road repair and relief distribution, a mixed integer linear programming model is established, and information is obtained such as the distribution, location, disaster impact and relief demand of the victims through mobile phone location data to achieve target road repair and relief distribution. The corresponding heuristic algorithm is designed to solve the model. Finally, the efficiency of the model and algorithm is verified by a case study. At the same time, the rescue results based on the mobile phone location data and the rescue results lacking the mobile phone location data are compared and analyzed, which proves that the mobile phone location data proposed in thispaper has more advantages inthe field of emergency rescue.

Key words: mobile phone location data, road repair, relief distribution, integrated optimization

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