While 9-1-1 emergency call data is currently collected across the nation, it
is being used primarily for administrative purposes, and not for
real-time assessment and prediction of emergency response situations.
The goal of the project is to analyze 9-1-1 call stream data to provide
a better understanding of the spatiotemporal patterns of emergency
calls, both state-wide and at the local level, and their correlation
with medium to large-scale emergency events. This analysis will be used
to build predictive models for real-time decision support and better
overall planning, to enable more efficient and effective response to
emergencies.
PROJECT OVERVIEW
(Click on an image to learn more about the project)
 Areas under analysis |
 Daily call volume, 1 |
 Daily call volume, 2 |
 24-hour "call volume rhtythm" |
 Inter-call time |
 Ring time, % abandoned calls, and call duration |
 Call distribution during a fire |
 Illustration of PSAP coverage overlap |
 Evaluating PSAP load during call volume spikes |
 Automatic hotspot detection |
 Linear predictor used for detecting emergency events |
 Space-time permutation scan statistic for detecting emergency events |
 Video 1 - Condo development fire, Space-time permutation scan statistic |
 Video 2 - Overpass collapse, Space-time permutation scan statistic |
 Video 3 - San Diego 2007 fires, Space-time permutation scan statistic |
 Video 4 - Small plane crash, multi-icon |
PUBLICATIONS
Spatiotemporal analysis of 9-1-1 call stream data
(and associated poster)
Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K., Glasscock, M.
In Proceedings of the 2005 National Conference on Digital Government Research (dg.o 2005), Atlanta, Georgia, May 15-18, 2005.
Spatiotemporal analysis of 9-1-1 call stream data
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
In Proceedings of the 7th Annual International Digital Government Research Conference (dg.o 2006), San Diego, California, May 21-24, 2006.
Detection of 9-1-1 emergency call hotspots
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
In Proceedings of the 2nd Annual Geospatial Integration for Public safety Conference (GIPSC 2007), New Orleans, Louisiana, April 15-18, 2007.
Prediction of 9-1-1 call volumes for emergency event detection
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
In Proceedings of the 8th Annual International Digital Government Research Conference (dg.o 2007), Philadelphia, Pennsylvania, May 20-23, 2007.
Spatiotemporal characteristics of 9-1-1 emergency call hotspots
(and associated poster)
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
In Proceedings
of the National Science Foundation Symposium on Next Generation of Data
Mining and Cyber-Enabled Discovery for Innovation (NGDM'07), Baltimore, Maryland, Oct 10-12, 2007.
Using 9-1-1 Call Information for Enhancing Emergency Responses
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
URISA/NENA Adressing Conference (formerly GIPSC), Portland, Oregon, Apr 7-10, 2008.
Using 9-1-1 call data and the time-space permutation scan statistic for emergency event detection
Jasso, H., Hodgkiss, W., Baru, C., Fountain, T., Reich, D., Warner, K.
In Proceedings of the 9th Annual International Digital Government Research Conference (dg.o 2008), Montreal, Quebec, May 18-21, 2008.
ON THE NEWS
PARTNERS
University of California, San Diego:
• Bill Hodgkiss
• Chaitan Baru
• Tony Fountain
• Hector Jasso
Governor's Office of Emergency Services, State of California:
• Megan Glassock
Public Safety Network:
• Kurt Warner
• Don Reich
• Bruce Thomas
SUPPORT
This project is funded by the
National Science Foundation Digital Government Program grant number 429448.
Please send comments to Hector Jasso.