Fire Station Districting Using Simulation: Case Study in Centre Region, Pennsylvania
Publication: Journal of Urban Planning and Development
Volume 130, Issue 3
Abstract
In this paper, fire station redistricting of the Centre Region in Pennsylvania is considered to improve the efficiency of service and reflect the changing characteristics of the region. The problem is formulated as a multiobjective mathematical optimization problem. Due to difficulties in building a comprehensive analytical model and associated computational complexity, simulation, aided by a geographic information systems application software package, is employed to solve the problem. The effectiveness of this analysis indicates that simulation can be used to solve problems of this nature and satisfactory districting plans can be generated efficiently.
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References
Carter, G., Chaiken, J., and Ignall, E.(1972). “Response areas for two emergency units.” Oper. Res., 20(3), 571–594.
Chapman, S. C., and White, J. A. (1974). “Probabilistic formulations of emergency service facilities location problems.” Proc., 45th ORSA/TIMS Conf., San Juan, Puerto Rico.
Church, R. L., and ReVelle, C.(1974). “The maximal location covering problem.” Pap. Regional Sci. Assoc.,32, 101–118.
Daskin, M. S.(1983). “A maximum expected covering location model: Formulation, properties and heuristic solution.” Transp. Sci., 17, 48–70.
Jarvis, J. (1975). “Optimization in stochastic service systems with distinguishable servers.” Rep. No. TR-19-75, Massachusetts Institute of Technology, Cambridge, Mass.
Kless, D., Drosnes, K., Hameister, D., Harner, D., Meyer, J., and Tressler, T. (1998). Satellite Fire Station Rep. Centre Region Council of Governments, State College, Pa.
Larson, R.(1974). “A hypercube queuing model for facility location and redistricting in urban emergency services.” Comput. Oper. Res.,1(5), 67–95.
Law, A. M., and Kelton, W. D. (1991). Simulation modeling and analysis, McGraw-Hill, New York.
Repede, J., and Bernando, J.(1994). “Developing and validating a decision support system for locating emergency medical vehicles in Louisville, KY.” Eur. J. Oper. Res., 75, 567–581.
ReVelle, C., and Hogan, K.(1988). “A reliability-constrained siting model with local estimates of busy fractions.” Environ. Plan. B: Plan. Des., 15, 143–152.
Schilling, D.(1980). “Dynamic location modeling for public sector facilities: A multicriteria approach.” Decision Sci., 11, 714–725.
Toregas, C., and ReVelle, C.(1973). “Binary logic solutions to a class of location problems.” Geogr. Anal., 5, 145–155.
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Copyright © 2004 American Society of Civil Engineers.
History
Received: Nov 27, 2000
Accepted: Aug 22, 2003
Published online: Aug 16, 2004
Published in print: Sep 2004
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