摘要: |
A robust, mixed-integer, multi-stage program is presented that seeks to effectively secure a transit system where risk is considered to be dynamic and varies over time. A time-varying risk measure effects the unique nature of transit systems, where accumulation of passengers at transfer facilities, stations and transit vehicles is dynamic and increases the vulnerability of transit users and system to adverse events. The model is robust under uncertainty and better matches security assets at stations in the face of time-varying risk by redistributing them. The volume-dependent risk measure and subsequent deployment of security assets are developed for the transit systems in Washington, D. C. demonstrating the variable nature of risk and response. The value of considering a robust solution is demonstrated by computing the robust approach to an expected value approach. Five scenarios designed on recent events on the system, replicate the operational conditions of the transit system for the morning rush hour period and show the effectiveness of the developed deployment strategies. |