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Spatiotemporal analysis of 9-1-1 call stream data
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Source dg.o; Vol. 151 archive
Proceedings of the 2006 international conference on Digital government research table of contents
San Diego, California
SESSION: Data mining table of contents
Pages: 21 - 22  
Year of Publication: 2006
Authors
Hector Jasso  University of California, San Diego, La Jolla, CA
Tony Fountain  University of California, San Diego, La Jolla, CA
Chaitan Baru  University of California, San Diego, La Jolla, CA
William Hodgkiss  University of California, San Diego, La Jolla, CA
Don Reich  Public Safety Network, Santa Barbara, CA
Kurt Warner  Public Safety Network, Santa Barbara, CA
Sponsor
NSF : National Science Foundation
Publisher
ACM  New York, NY, USA
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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.



Collaborative Colleagues:
Hector Jasso: colleagues
Tony Fountain: colleagues
Chaitan Baru: colleagues
William Hodgkiss: colleagues
Don Reich: colleagues
Kurt Warner: colleagues