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Most Downloaded Articles
- Disaster Resilience Indicators for Benchmarking Baseline Conditions by Cutter, Susan L./ Burton, Christopher G. and Emrich, Christopher T.
- Review of Building an Enterprise-Wide Business Continuity Program by Franklin, Charlotte
- The Evolving Role of the Public Information Officer: An Examination of Social Media in Emergency Management by Hughes, Amanda L. and Palen, Leysia
- A Critical Evaluation of the Incident Command System and NIMS by Buck, Dick A/ Trainor, Joseph E and Aguirre, Benigno E.
- Vulnerability of U.S. Cities to Environmental Hazards by Borden, Kevin A./ Schmidtlein, Mathew C./ Emrich, Christopher T./ Piegorsch, Walter W. and Cutter, Susan L.
2Los Angeles County Sheriff’s Department
3Las Vegas Metropolitan Police Department
4DC Fire and Emergency Medical Services
Citation Information: Journal of Homeland Security and Emergency Management. Volume 7, Issue 1, ISSN (Online) 1547-7355, DOI: 10.2202/1547-7355.1763, October 2010
- Published Online:
This paper explores methods for capitalizing on existing law enforcement intelligence capabilities to provide intelligence support to decision makers for a full spectrum of public safety and emergency service operations. Intelligence-led mitigation is a management philosophy and business process to proactively guide strategic, operational, and tactical decisions for mitigating the effects of intentional, accidental, and natural incidents. There is currently a gap in the intelligence products needed by public safety and emergency service organizations to support their resource decisions, and the quantity and quality of intelligence products they are receiving. This breach between producer and consumer exists across the country and at all levels of government. The intelligence-led mitigation model was designed to demonstrate how the existing principles and processes of intelligence-led policing can be applied to a broader set of incidents, incident phases, and stakeholders in order to effectively and efficiently fill this critical intelligence gap.