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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. 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.
    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. 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.
    6. Hall, Randolph W., 2002. "Incident dispatching, clearance and delay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(1), pages 1-16, January.
    7. Richard Charles Larson, 2002. "Public Sector Operations Research: A Personal Journey," Operations Research, INFORMS, vol. 50(1), pages 135-145, February.
    8. Hall, Randolph, 2000. "Incident Dispatching, Clearance and Delay," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2pp689vn, Institute of Transportation Studies, UC Berkeley.

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