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Chinese Journal of Management Science ›› 2021, Vol. 29 ›› Issue (3): 133-142.doi: 10.16381/j.cnki.issn1003-207x.2021.03.13

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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

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

CLC Number: