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Travel-Time Analysis of New York City Police Patrol Cars

Author

Listed:
  • Richard C. Larson

    (ENFORTH Corporation, 929 Massachusetts Avenue, Cambridge, Massachusetts 02139 and Massachusetts Institute of Technology, Room E40-159, Cambridge, Massachusetts 02139)

  • Thomas F. Rich

    (ENFORTH Corporation, 929 Massachusetts Avenue, Cambridge, Massachusetts 02139)

Abstract

Radio-monitored patrol (RMP) cars in the New York City Police Department patrol and respond to calls for service (CFS) throughout the city. The initial phase of an on-going attempt to improve productivity in the department consisted of a comprehensive quantitatively based study of RMP car practices. One aspect focused on the effect on travel times to CFS of alternative RMP patrol and response strategies. The hypercube queueing model, a public domain patrol car allocation model, was used to predict the consequences of these new strategies for particular neighborhoods in Eastern Queens and Lower Manhattan. A somewhat surprising finding from the analysis is that increasing the potential service areas of RMP cars need not result in an increase in travel times.

Suggested Citation

  • Richard C. Larson & Thomas F. Rich, 1987. "Travel-Time Analysis of New York City Police Patrol Cars," Interfaces, INFORMS, vol. 17(2), pages 15-20, April.
    • Handle: RePEc:inm:orinte:v:17:y:1987:i:2:p:15-20
    DOI: 10.1287/inte.17.2.15
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    Citations

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    Cited by:

    1. Linda V. Green & Peter J. Kolesar, 2004. "ANNIVERSARY ARTICLE: Improving Emergency Responsiveness with Management Science," Management Science, INFORMS, vol. 50(8), pages 1001-1014, August.
    2. 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.
    3. Richard Charles Larson, 2002. "Public Sector Operations Research: A Personal Journey," Operations Research, INFORMS, vol. 50(1), pages 135-145, February.
    4. Hall, Randolph, 2000. "Incident Dispatching, Clearance and Delay," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2pp689vn, Institute of Transportation Studies, UC Berkeley.
    5. Hall, Randolph W., 2002. "Incident dispatching, clearance and delay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(1), pages 1-16, January.
    6. 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.
    7. 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.
    8. Hall, Randolph W., 2001. "Incident Management: Process Analysis and Improvement," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1jf6j37t, Institute of Transportation Studies, UC Berkeley.

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