In this paper I find the best location of casualty collection points (CCPs). CCPs are expected to become operational in case of a human-made or natural disaster with mass casualties, such as a high-magnitude earthquake. Five objective functions are suggested and analyzed: p-median, p-center, p-maxcover, min-variance, and Lorenz curve. Multiobjective models are also analyzed. To illustrate the location problem, the models are applied to a scenario based on a large earthquake hitting Orange County, CA as a case study. The optimal locations for the CCPs using the objective functions are found, analyzed, and compared.
Get full access to this article
View all access options for this article.
References
1.
BenedictJ, 1983, “Three hierarchical objective models which incorporate the concept of excess coverage for locating EMS vehicles or hospitals”, MSc thesis, Northwestern University, Evanston, IL
2.
BerlinG, 1972Facility Location and Vehicle Allocation for Provision of an Emergency Service PhD dissertation, Johns Hopkins University, Baltimore, MD
3.
BermanOKrassD, 2002, “Facility location problems with stochastic demands and congestion”, in Facility Location: Applications and Theory Eds DreznerZHamacherH W (Springer, Berlin) pp 329–371
4.
BianchiCChurchR, 1988, “A hybrid FLEET model for emergency medical service system design”Social Sciences in Medicine26163–171
5.
ChapmanS CWhiteJ A, 1974, “Probabilistic formulations of emergency service facilities location problems”, paper presented at ORSA/TIMS conference, San Juan, Puerto Rico
6.
CurrentJDaskinMSchillingD, 2002, “Discrete network location models”, in Facility Location: Applications and Theory Eds DreznerZHamacherH W (Springer, Berlin) pp 81–118
7.
DaskinM S, 1983, “A maximum expected covering location model: Formulation, properties, and heuristic solution”Transportation Science1748–70
8.
DaskinM, 1995Network and Discrete Location: Models, Algorithms and Applications (John Wiley, New York)
9.
DaskinM SSternE H, 1981, “A hierarchical objective set covering model for emergency medical service vehicle deployment”Transportation Science15137–152
10.
EatonDHectorMSanchezVLantiguaRMorganJ, 1986, “Determining ambulance deployment in Santo Domingo, Dominican Republic”Journal of the Operational Research Society37113–126
11.
EiseltH ALaporteG, 1995, “Objectives in location problems”, in Facility Location: A Survey of Applications and Methods Ed. DreznerZ (Springer, New York) pp 151–180
12.
ErkutE, 1993, “Inequality measures for location problems”Location Science1199–217
HoganKReVelleC, 1986, “Concepts and applications of backup coverage”Management Science341434–1444
15.
KarivOHakimiS L, 1979a, “An algorithm approach to network location problems, part II: The P-median”SIAM Journal of Applied Mathematics37539–560
16.
KarivOHakimiS L, 1979b, “An algorithm approach to network location problems, part I: The P-centers”SIAM Journal of Applied Mathematics37513–538
17.
MaimonO, 1986, “The variance equity measure in locational decision theory”Annals of Operations Research6147–160
18.
MaimonO, 1988, “An algorithm for the Lorenz measure in locational decisions on trees”Journal of Algorithms9583–596
19.
MarianovVReVelleC, 1995, “Siting emergency services”, in Facility Location: A Survey of Applications and Methods Ed. DreznerZ (Springer, New York) pp 199–224
20.
MarshMSchillingD, 1994, “Equity measurement in facility location analysis: A review and framework”European Journal of Operational Research741–17
21.
MulliganG F, 1991, “Equality measures and facility location”Papers in Regional Science70345–365
22.
ReVelleC, 1986, “The maximum capture or sphere of influence problem: Hoteling revisited on a network”Journal of Regional Science26343–357
23.
ReVelleCBigmanDSchillingDCohonJChurchR, 1977, “Facility location: A review of context-free and EMS models”Health Services Research12129–146
24.
SavasE S, 1978, “On inequality in providing public services”Management Science24800–808
25.
StidhamS, 1971, “Stochastic design models for location and allocation of public service facilities”, report to the New York State Science and Technology Foundation, Department of Environmental Systems Engineering, Cornell University, Ithaca, NY
