Risk Assessment of Energy-Transportation Coupled System with Unified Integration of Multi-Type Emergency Decisions Under Extreme Weather

Modern urban infrastructure systems are interconnected. Under frequent extreme weather disasters, the interdependence between systems can lead to the spread of failures and risk-compounding effects. This paper proposes an operational model and assessment framework that can comprehensively consider various complex factors and fully assess the risk levels faced by urban infrastructure systems under extreme weather. First, using Monte Carlo simulation based on Latin hypercube sampling, this paper establishes a framework for simulating and quantifying the impact of extreme weather events on the coupled energy-transportation system. Then, considering the inherent differences between the energy and transportation systems, a unified power-heat-transportation emergency model is established, covering the entire process of prevention, response, and recovery. This model comprehensively accommodates various types of emergency decisions for the energy-transportation system in a unified form. Numerical experiments show that the proposed framework and model can reveal the risk levels faced by urban infrastructure systems, providing references for the handling of extreme weather events.