DocumentCode :
3308870
Title :
PortSec 2.0: The next generation
Author :
Lennon, E. ; Orosz, Michael ; Kichkaylo, T. ; Maya, Isaac ; Dan Wei
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Marina Del Rey, CA, USA
fYear :
2012
fDate :
13-15 Nov. 2012
Firstpage :
255
Lastpage :
259
Abstract :
The infrastructure systems at the ports of Los Angeles and Long Beach comprise the largest port complex within the United States, processing over forty percent of the nation´s container traffic. Security within this port is critical to the regional and national economy. The University of Southern California´s National Center for Risk and Economic Analysis of Terrorism Events, a Department of Homeland Security University Center of Excellence, has continued development of the Port Security Risk Assessment and Resource Management (PortSec) system to address a key challenge facing all port complexes - simultaneously increasing security, maximizing business throughput, and minimizing environmental impact. PortSec continues to focus on risk assessment from real-time intelligence sources for tactical operations. In this paper, ongoing advancements to PortSec, including the ability to interface with Unified Incident Command and Decision Support (UICDS) system, development of an economic impact model, and updates to the POLA/LB transportation model are reported.
Keywords :
containers; decision support systems; environmental factors; marine engineering; risk management; sea ports; security; transportation; Long Beach; Los Angeles; POLA/LB transportation model; PortSec 2.0; business throughput; container traffic; economic impact model; environmental impact minimisation; infrastructure system; marine exchange; national economy; port security risk assessment system; regional economy; resource management system; tactical operation; unified incident command and decision support system system; Analytical models; Data models; Economics; Ports (Computers); Risk management; Security; Transportation; decision-support; port security; resource allocation; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Homeland Security (HST), 2012 IEEE Conference on Technologies for
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4673-2708-4
Type :
conf
DOI :
10.1109/THS.2012.6459858
Filename :
6459858
Link To Document :
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