Emergency transportation network design problem: Identification and evaluation of disaster response routes

被引:53
|
作者
Nikoo, Nariman [1 ]
Babaei, Mohsen [2 ]
Mohaymany, Afshin Shariat [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, Dept Transportat Planning & Engn, Tehran, Iran
[2] Bu Ali Sina Univ, Fac Engn, Civil Engn Dept, Hamadan, Iran
关键词
Disaster mitigation; Emergency transportation network; Vulnerability analysis; Emergency response trips; Critical links; OR/MS RESEARCH; 2003; BAM; RELIABILITY; MODEL; OPTIMIZATION; OPERATIONS; MULTICOMMODITY; UNCERTAINTY; PERFORMANCE; FORMULATION;
D O I
10.1016/j.ijdrr.2017.07.003
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Since disasters have considerable effects on transportation networks, the functionality of an emergency transportation network can play an important role in mitigation phase, especially in developing countries that sometimes suffer the sad experience of almost complete destruction of several cities. Transportation related disaster response activities typically include search and rescue, emergency medical care and fire-fighting trips. In this paper, the emergency transportation network design problem is proposed to determine the optimal network to perform emergency response trips with high priority in the aftermath of earthquakes. The problem has three objective functions designated to identify the optimal routes for emergency vehicles considering the length, the travel time and the number of paths as performance metrics of network vulnerability. A combined approach for considering the three objectives including weighted sum and lexicographic methods is used. The proposed model is solved using a branch-and-cut solution method. The suggested method is tested on the well-known Sioux-Falls network as well as on the real-world network of Tehran metropolis, Iran. Computational experiments are conducted to examine the effects of varying the maximum network length, and the relative weights of other objectives.
引用
收藏
页码:7 / 20
页数:14
相关论文
共 50 条
  • [41] Combining Worst Case and Average Case Considerations in an Integrated Emergency Response Network Design Problem
    Dalal, Jyotirmoy
    Uster, Halit
    TRANSPORTATION SCIENCE, 2018, 52 (01) : 171 - 188
  • [42] Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
    Zhang, Xiongfei
    Zhong, Qi
    Luo, Qin
    JOURNAL OF ADVANCED TRANSPORTATION, 2019, 2019
  • [43] A Flood Emergency Response System Based on Flood Disaster Evaluation Models
    Fang, Li
    Yue, Jianwei
    Dai, Jiawen
    Ma, Guobin
    Yu, Zhuoyuan
    2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [44] The Design and Implementation of Urban Earthquake Disaster Loss Evaluation and Emergency Response Decision Support Systems Based on ArcGIS
    Yang Kun
    Xu Quan-li
    Peng Shuang-yun
    Cao Yan-bo
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 892 - 895
  • [45] 911-NOW: A network on wheels for emergency response and disaster recovery operations
    Abusch-Magder, David
    Bosch, Peter
    Klein, Thierry E.
    Polakos, Paul A.
    Samuel, Louis G.
    Viswanathan, Harish
    BELL LABS TECHNICAL JOURNAL, 2007, 11 (04) : 113 - 133
  • [46] Implementation of an emergency and disaster medical response training network in the commonwealth of independent states
    Ciottone, GR
    Old, A
    Nicholas, S
    Anderson, PD
    JOURNAL OF EMERGENCY MEDICINE, 2005, 29 (02): : 221 - 229
  • [47] Design and Deployment of UAV-Aided Post-Disaster Emergency Network
    Panda, Kirtan Gopal
    Das, Shrayan
    Sen, Debarati
    Arif, Wasim
    IEEE ACCESS, 2019, 7 : 102985 - 102999
  • [48] Capacity-Oriented Satellite Constellation Design in Disaster Emergency Communication Network
    Dai, Cui-Qin
    Yu, Ting
    Chen, Qianbin
    2020 12TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2020, : 666 - 671
  • [49] A DISCRETE TRANSPORTATION NETWORK DESIGN PROBLEM WITH COMBINED TRIP DISTRIBUTION AND ASSIGNMENT
    BOYCE, DE
    JANSON, BN
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1980, 14 (1-2) : 147 - 154
  • [50] Two-Stage Stochastic Programming for Transportation Network Design Problem
    Hrabec, Dusan
    Popela, Pavel
    Roupec, Jan
    Mazal, Jan
    Stodola, Petr
    MENDEL 2015: RECENT ADVANCES IN SOFT COMPUTING, 2015, 378 : 17 - 25