In this paper, we analyze the sufficiency of ambulances that attend to the victims of traffic accidents in Metro Manila using facility location models. Since there was an increase of traffic accidents for the past years as reported by the Philippine National Police–Highway Patrol Group, we want to know the location of facilities and the sufficient number of ambulances to provide an effective and reliable response system that will significantly reduce the fatalities brought by traffic accidents. In our analysis, we used some facility location models, particularly the maximum expected coverage location problem (MEXCLP), to evaluate if the number of ambulances is sufficient to serve the demands in Metro Manila for the year 2016. The study shows how facility location models can be applied to determine if the number of ambulances are sufficient at any given time.
Keywords: maximum expected coverage location problem, facility location services, ambulance services, traffic accidentsAger, M. (2016). 10,000 vehicular accidents in the first 4 months of 2016 — police. Retrieved from http://newsinfo.inquirer.net/821966/10000-vehicular-accidents-in-first-4-months-of-2016-police
Basar, A., Catay, B., & Unluyurt, T., (2011). A taxonomy for emergency service station location problems. Springer-Verlag.
Batta, R., Dola, J., & Krishnamurthy, N. (1989). The Maximal Expected Covering Location Problem: Revisited. Transportation Science, 23(4), 277–287.
Castaneda P, C., & Villegas, J. (2017). Analyzing the response to traffic accidents in Medellín, Colombia, with facility location models. IATSS Research, 41, 47–56.
Daskin, M. (1983). A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution. Transportation Transportation Science, 17.
Daskin, M., & Stern, E. (1981). A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment. Transportation Science, 15.
Francisco, K. (2015). Road deaths in PH: Most are motorcycle riders, pedestrians. Retrieved from http://www.rappler.com/nation/110789-road-safety-report-2015-who-philippineshttp://www.rappler.com/nation/110789-road-safety-report-2015-who-philippines
Kolesar, P., & Walker, W. (1974). An Algorithm for the Dynamic Relocation of Fire Companies. Operations Research, 22(2).
Meskarian, R., Penn, M., Williams, S., & Monks, T. (2017). A facility location model for analysis of current and future demand for sexual health services. PLoS ONE.
Plane, D., & Hendrick, T. (1977). Mathematical programming and the Location of fire companies for the Denver Fire Department. Operations Research, 25(4).
Sierksma, G. (2001). Linear and integer programming: theory and practice (Second 2nd Editioned.). New York: Marcel Dekker, Inc.
Sorensen, P., & Church, R. (2010). Integrating expected coverage and local reliability for emergency medical services location problems. Socio-Economic Planning Sciences, 44(1), 8–18.