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Technical Note—Estimating the Probability Distribution of Travel Times for Urban Emergency Service Systems

Author

Listed:
  • Kenneth Chelst

    (Wayne State University, Detroit, Michigan)

  • James P. Jarvis

    (Clemson University, Clemson, South Carolina)

Abstract

We describe an extension of Larson's hypercube queuing model to enable it to calculate the probability distributions of travel times. In addition, we discuss the general need for this capability in emergency service models as a prerequisite for developing second-generation models that may relate direct outcome measures such as damage, loss of life, and arrests to the managerial decisions.

Suggested Citation

  • Kenneth Chelst & James P. Jarvis, 1979. "Technical Note—Estimating the Probability Distribution of Travel Times for Urban Emergency Service Systems," Operations Research, INFORMS, vol. 27(1), pages 199-204, February.
    • Handle: RePEc:inm:oropre:v:27:y:1979:i:1:p:199-204
    DOI: 10.1287/opre.27.1.199
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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. McCormick, Kenneth Joseph, 1982. "On integrating spatial and temporal considerations into the economic theory of clubs," ISU General Staff Papers 198201010800008514, Iowa State University, Department of Economics.
    3. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    4. Ansari, Sardar & Yoon, Soovin & Albert, Laura A., 2017. "An approximate hypercube model for public service systems with co-located servers and multiple response," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 143-157.
    5. Shixiang Zhu & He Wang & Yao Xie, 2022. "Data-Driven Optimization for Atlanta Police-Zone Design," Interfaces, INFORMS, vol. 52(5), pages 412-432, September.

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