Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1146598.1146608 | DG.O |
Keywords | Field | DocType |
emergency call,external event information,abnormally high call volume,automatic detection,call stream data,call volume,spatiotemporal analysis technique,medical emergency,local level,emergency response,telephone 911,administrative purpose,emergency service personnel,emergency event,isolated incident,emergency response situation,predictive model,spatiotemporal analysis,spatiotemporal pattern,public safety,law enforcement event | Call volume,Computer science,Computer security,Stream data,Law enforcement,Spatiotemporal Analysis | Conference |
Citations | PageRank | References |
4 | 0.77 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hector Jasso | 1 | 28 | 5.03 |
| Tony Fountain | 2 | 89 | 11.54 |
| Chaitan Baru | 3 | 102 | 20.59 |
| William Hodgkiss | 4 | 12 | 2.29 |
| Don Reich | 5 | 12 | 2.29 |
| Kurt Warner | 6 | 12 | 2.29 |