A macroscopic and hierarchical location model of regional road traffic disaster relief material repository. (January 2019)

• Record Type: Journal Article
• Authors: Xi, Jianfeng; Mu, Kai; Ding, Tongqiang; Zhang, Chengyuan; Guo, Hongyu
• Is Part Of: Advances in mechanical engineering. Volume 11:Number 1(2019)
• Publication Date: 2019-01
• Subjects: Facility location -- traffic disaster relief material repository -- immune algorithm -- ant colony optimization; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814018821764
• Languages: English
• ISSNs: 1687-8132

Abstract

Since the disaster point of road traffic emergency and the emergency demand were uncertain, the demand weighting model and the hierarchical location model are suitable for the characteristics of road traffic emergency. According to the requirements for coverage area of the macroscopic-location of the large area of disaster relief material repository, the demand weighting model and the hierarchical location model were established in this article. Among them, the demand weight model was solved by modeling, and the demand weight of each disaster point was obtained; the location model was combined with immune algorithm and ant colony algorithm to get the hierarchical location scheme. Finally, Jing-jin-ji that represented China's "capital circle" was taken as an example, the model was solved using MATLAB, the mathematical software, and provided scientific and reasonable decision-making support for location selection. Moreover, it also provided a basis for the classification of the road traffic disaster relief material repository.