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Proceedings Paper

Centralized web-based loss estimation tool: INLET for disaster response
Author(s): C. K. Huyck; H.-C. Chung; S. Cho; M. Z. Mio; S. Ghosh; R. T. Eguchi; S. Mehrotra
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Paper Abstract

In the years following the 1994 Northridge earthquake, many researchers in the earthquake community focused on the development of GIS-based loss estimation tools such as HAZUS. These highly customizable programs have many users, and different results after an event can be problematic. Online IMS (Internet Map Servers) offer a centralized system where data, model updates and results cascade to all users. INLET (Internet-based Loss Estimation Tool) is the first online real-time loss estimation system available to the emergency management and response community within Southern California. In the event of a significant earthquake, Perl scripts written to respond to USGS ShakeCast notifications will call INLET routines that use USGS ShakeMaps to estimate losses within minutes after an event. INLET incorporates extensive publicly available GIS databases and uses damage functions simplified from FEMA's HAZUS(R) software. INLET currently estimates building damage, transportation impacts, and casualties. The online model simulates the effects of earthquakes, in the context of the larger RESCUE project, in order to test the integration of IT in evacuation routing. The simulation tool provides a "testbed" environment for researchers to model the effect that disaster awareness and route familiarity can have on traffic congestion and evacuation time.

Paper Details

Date Published: 30 March 2006
PDF: 8 pages
Proc. SPIE 6178, Nonintrusive Inspection, Structures Monitoring, and Smart Systems for Homeland Security, 61780B (30 March 2006); doi: 10.1117/12.658870
Show Author Affiliations
C. K. Huyck, ImageCat, Inc. (United States)
H.-C. Chung, ImageCat, Inc. (United States)
S. Cho, ImageCat, Inc. (United States)
M. Z. Mio, ImageCat, Inc. (United States)
S. Ghosh, ImageCat, Inc. (United States)
R. T. Eguchi, ImageCat, Inc. (United States)
S. Mehrotra, Univ. of California, Irvine (United States)


Published in SPIE Proceedings Vol. 6178:
Nonintrusive Inspection, Structures Monitoring, and Smart Systems for Homeland Security
Aaron A. Diaz; H. Felix Wu; Steven R. Doctor; Yoseph Bar-Cohen, Editor(s)

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