Location-Allocation and Optimum Site Selection of Fire Service Facilities: A Florida Example
Rent from DeepDyve- Location-Allocation and Optimum Site Selection of Fire Service Facilities:A Florida Example
Dr. Schultz is Associate Professor of Geography at Florida Atlantic University in Boca Raton, FL 33431.
Mr. Risinger is a landscape architect with the Urban Design Studio in West Palm Beach, FL 33409.
Footnotes
(1) For an introduction to the location-allocation problem, see Ronald Abler, John S. Adams, and Peter Gould, Spatial Organization: the Geographer's View of the World (Englewood Cliffs, New Jersey: Prentice-Hall, 1971), pp. 531-550; Peter J. Taylor, Quantitative Methods in Geography: An Introduction to Spatial Analysis (Boston: Houghton Mifflin, 1977), pp. 305-335.
(2) Charles ReVelle, David Bigman, David Schilling, Jared Cohon, and Richard Church, "Facility Location: A Review of Context-free and EMS Models," Health Services Research, Vol. 12 (1977), pp. 129-146.
(3) Constantine Toregas and Charles ReVelle, "Optimal Location Under Time or Distance Constraints," Papers of the Regional Science Association, Vol. 28 (1972), pp. 133-143; Charles ReVelle, Constantine Toregas, and Louis Falkson, "Applications of the Location Set-Covering Problem," Geographical Analysis, Vol. 8 (1976), pp. 65-76.
(4) Donald R. Plane and Thomas E. Hendrich, Mathematical Programming and the Location of Fire Companies for the Denver Fire Department, Management Science Report No. 74-9 (Boulder, Colorado: University of Colorado, Graduate School of Business Administration, 1974).
(5) ReVelle, et al., footnote 2, p. 136.
(6) Gerard Rushton, Michael F. Goodchild, and Laurence M. Ostresh, Jr., Computer Programs for Location-Allocation Problems (Iowa City, Iowa: University of Iowa, Department of Geography, Monograph No. 6, 1973). ALLOC was developed at the University of Iowa. It has been modified for this study by William B. Stronge and the senior author to begin its search procedure from 20 alternative starting configurations. This substantially increases the probability of finding the global solution. The printed output of the program has also been reformatted.
(7) For a critical evaluation of minimizing response time as the major criterion in judging emergency service, see Jonathan D. Mayer, "Response Time and Its Significance in Medical Emergencies," Geographical Review, Vol. 70 (1980), pp. 79-87.
(8) The Shortest Path Algorithm (SPA) program was used to derive the distance matrix. For a discussion of this program, see Rushton et al., footnote 6, pp. 141-162.
(9) There is a fourth station in a noncontiguous area along the Atlantic Ocean just north of Boca Raton. This narrow strip lies between the Intracoastal Waterway and the Atlantic Ocean. The fact that drawbridges give access from the west has led the Del-Trail fire chief to separate this region from the rest of the district for planning purposes.
(10) A stratified random sample of emergency service calls drawn from each month in 1979 correlated very highly with population so that population projections were used as the demand variable in all tests.
(11) Shiv K. Gupta and Jonathan Rosenhead, "Robustness in Sequential Investment Decisions," Management Science: Application, Vol. 15 (1968), pp. B18-B29.
(12) Richard L. Church and Michael E. Meadows, "Results of a New Approach to Solving the p-Median Problem with Maximum Distance Constraints," Geographical Analysis, Vol. 9 (1977), pp. 364-378; idem, "Location Modeling Utilizing Maximum Service Distance Criteria," Geographical Analysis, Vol. 11 (1979), pp. 358-373; Pitu B. Mirchandani, "Locational Decisions on Stochastic Networks," Geographical Analysis, Vol. 12 (1980), pp. 172-183.
