Spatiotemporal analysis of 9-1-1 call stream data

  • Authors:
  • Hector Jasso;Tony Fountain;Chaitan Baru;William Hodgkiss;Don Reich;Kurt Warner

  • Affiliations:
  • University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA;Public Safety Network, Santa Barbara, CA;Public Safety Network, Santa Barbara, CA

  • Venue:
  • dg.o '06 Proceedings of the 2006 international conference on Digital government research
  • Year:
  • 2006

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Abstract

Currently, archival 9-1-1 call stream data is used mainly for administrative purposes. We present spatiotemporal analysis of thirteen months worth of call stream data for the purpose of illustrating how this data might be used for enhancing emergency response in the State of California. An analysis of the data shows regularity in the 9-1-1 call volume which can facilitate the automatic detection of abnormally high call volumes that are associated with environmental, medical emergency, and law enforcement events. Thus, this is a first step towards the detection of unusual trends that could indicate widely spread events that require response beyond that of isolated incidents.