Enhancing National Security and Energy Security in the Post-911 Era: Group Decision Support for Strategic Policy Analysis under Conditions of Conflict |
| |
Authors: | Kevin W Li Jason K Levy P Buckley |
| |
Institution: | (1) Odette School of Business, University of Windsor, Windsor, ON, N9B 3P4, Canada;(2) Homeland Security and Emergency Preparedness, L. Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University, Richmond, VA 23284, USA;(3) Department of Environmental Studies, Huxley College of the Environment, Western Washington University, Bellingham, WA 98225-9085, USA |
| |
Abstract: | Energy source diversity has become a fundamental principle of both US energy security and national security. The decision
of whether or not to approve a new power plant facility in the US involves complex group decision and negotiation processes.
These contentious, value-laden, and multi-faceted self organizing processes involve many decision makers (broad constituencies)
with conflicting priorities and dynamic preferences, high decision stakes, limited technical information (both in terms of
quality and quantity), and difficult tradeoffs. As population pressures and energy demands continue to mount, advances in
conflict resolution can help to improve power plant siting processes as well as US energy security and national security.
Specifically, this paper uses advances in the Graph Model for Conflict Resolution and its associated decision support system
(DSS) GMCR II to analyze strategic aspects of a multi-party energy dispute involving the co-management of a shared air shed
in the Fraser Lowland Eco-Region based on Sumas Energy 2 (SE2), a contentious power plant project proposed for the US side
of the international border between the city of Abbotsford, British Columbia and town of Sumas, Washington. GMCR II provides
strategic insights for enhancing energy security, national security, and environmental risk management in the United States. |
| |
Keywords: | Environmental risk Decision support Energy security Graph model for conflict resolution |
本文献已被 SpringerLink 等数据库收录! |
|