The Development Of An Advanced Dynamic Risk Assessment Tool Based On Agent-based Modelling
Supervisor: Dr Lu Zhuo
The interaction between natural hazards and society should be an ever-evolving process derived from the interaction of physical and social dynamics, that is, under different spatial and temporal conditions, totally different paths of disaster risks can result (e.g., school is only highly vulnerable during the class periods, and its vulnerability level reduces significantly after class/ during the holidays). Hence it is vital that disaster risks are assessed dynamically (i.e., space-and-time-dependent). However, to date, there has been limited research covering the dynamic disaster risk assessment.
This PhD project will focus on further developing a dynamic disaster risk assessment tool called HazardCM, which is an agent-based model that can simulate the dynamic human exposure to natural hazards. In particular, the project is to add
1) an infrastructure network module to cover a wide range of lifeline criticalities such as road, water, energy, bridges, etc;
2) a hazard mitigation module to assess the effectiveness of different mitigation measure options;
3) a resilience module to estimate the key social impact factors such as vulnerability and risks.
This project is NOT FUNDED, although Departmental/University scholarships are available for applicants who can demonstrate strong evidence of research potential.