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A Model for Predicting Average Fire Engine Travel Times

Author

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  • Peter Kolesar

    (The City College, New York, New York)

Abstract

We propose, motivate, and test a model for predicting ET , the expected fire engine travel time in a region, given the region's area, A ; the number of fire engines stationed there, n ; the alarm rate, λ; and the expected total service time per alarm, ES . The model is ET = α + β [ A /( n − λ ES )] γ . Estimates of the values of parameters α, β, and γ are given for New York City, where the model has been validated, and used in analyzing fire engine deployment problems. Recent changes in the number and location of fire engines in New York City were based partially on this analysis.

Suggested Citation

  • Peter Kolesar, 1975. "A Model for Predicting Average Fire Engine Travel Times," Operations Research, INFORMS, vol. 23(4), pages 603-613, August.
    • Handle: RePEc:inm:oropre:v:23:y:1975:i:4:p:603-613
    DOI: 10.1287/opre.23.4.603
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    Cited by:

    1. M S Daskin & A Haghani, 1984. "Multiple Vehicle Routing and Dispatching to an Emergency Scene," Environment and Planning A, , vol. 16(10), pages 1349-1359, October.
    2. A Ingolfsson & E Erkut & S Budge, 2003. "Simulation of single start station for Edmonton EMS," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 736-746, July.
    3. McLay, Laura A. & Boone, Edward L. & Brooks, J. Paul, 2012. "Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 55-66.
    4. N C Simpson & P G Hancock, 2009. "Fifty years of operational research and emergency response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 126-139, May.
    5. Drezner, Zvi & Drezner, Tammy & Wesolowsky, George O., 2009. "Location with acceleration-deceleration distance," European Journal of Operational Research, Elsevier, vol. 198(1), pages 157-164, October.

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