Casualty Collection Points Optimization: A Study for the District of Columbia

被引:19
作者
Apte, Aruna [1 ]
Heidtke, Curtis [2 ]
Salmeron, Javier [3 ]
机构
[1] Naval Postgrad Sch, Grad Sch Business & Publ Policy, Monterey, CA 93943 USA
[2] Naval Postgrad Sch, Off Counsel, Monterey, CA 93943 USA
[3] Naval Postgrad Sch, Dept Operat Res, Monterey, CA 93943 USA
关键词
casualty collection point; mixed-integer optimization; disaster relief; FACILITY LOCATION;
D O I
10.1287/inte.2014.0757
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A casualty collection point (CCP) is a single, predetermined location that is organized, staffed, and equipped to provide decontamination (if required), emergency medical assessment, treatment, and, where necessary, onward transportation of victims of a mass casualty incident. Emergency planners in the District of Columbia have recognized the desirability of developing a tool to assist planners in selecting CCPs within the affected area following a major incident. We develop a CCP optimization model (CCPOM) that provides planners and policymakers with strategic and operational insights into the complex problem of selecting optimal CCP locations to maximize casualty throughput for a range of incident parameters. Even more relevant, the CCPOM determines the utilization of personnel, decontamination units, and ambulances, providing planners with a general structure for resource allocation and signaling shortfalls that may lead to bottlenecks in casualty processing at the CCPs. District planners found many nonintuitive CCPOM results to be significant to their planning, programming, and budgeting efforts, and now consider the model's categorized resource utilization to be an integral part in updating District plans for both national special security event planning and everyday events.
引用
收藏
页码:149 / 165
页数:17
相关论文
共 22 条
  • [1] [Anonymous], 2013, GAMS USERS GUIDE
  • [2] Facility location in humanitarian relief
    Balcik, B.
    Beamon, B. M.
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2008, 11 (02) : 101 - 121
  • [3] AN OVERVIEW OF REPRESENTATIVE PROBLEMS IN LOCATION RESEARCH
    BRANDEAU, ML
    CHIU, SS
    [J]. MANAGEMENT SCIENCE, 1989, 35 (06) : 645 - 674
  • [4] Caunhye AM, 2012, SOCIOECONOMIC PLANNI, V46, P4, DOI DOI 10.1016/J.SEPS.2011.04.004
  • [5] Church R., 1974, Papers in Regional Science, V32, P101, DOI [10.1111/j.1435-5597.1974.tb00902.x, DOI 10.1111/J.1435-5597.1974.TB00902.X]
  • [6] Daskin M.S., 1995, NETWORK DISCRETE LOC, DOI DOI 10.1016/j.cor.2006.01.003
  • [7] Daskin MS, 2005, INT SER OPER RES MAN, V70, P43, DOI 10.1007/1-4020-8066-2_3
  • [8] A Florida County locates disaster recovery centers
    Dekle, J
    Lavieri, MS
    Martin, E
    Emir-Farinas, H
    Francis, RL
    [J]. INTERFACES, 2005, 35 (02) : 133 - 139
  • [9] District of Columbia Hospital Association, 2006, 2006 HOSP CAP ASS RE
  • [10] A multi-objective heuristic approach for the casualty collection points location problem
    Drezner, T.
    Drezner, Z.
    Salhi, S.
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2006, 57 (06) : 727 - 734