MS Title:
Probabilistic seismic hazard, vulnerability analysis and earthquake catastrophe risk modeling of modern cities
 

Description:
Growth of modern cities is a popular trend in the recent years. Earthquake catastrophes disproportionally affect modern cities in terms of economic losses, disruptions, and casualties. The low insurance penetration, incomplete disaster prevention strategy and limited catastrophe risk awareness in modern cities of developing region result in a lack of effective earthquake catastrophe risk transfer mechanisms. Understanding, communicating and managing such risk require comprehensive methodologies for risk quantification and mitigation. Earthquake catastrophe risk modelling is a computerized system to generate a robust set of simulated events and estimate the magnitude, intensity, and location of the event to determine the amount of damage and calculate the economic loss as a result of earthquake catastrophe event. These models combine the science of earthquake hazards with engineering, social-economic and financial processes. Given this amalgam is extremely complex, depending on the evolving knowledge of the processes and the connections between them, there are many uncertainties in such models. In front of this situation, the aim of this mini-symposium is to provide a springboard for deepening current efforts in probabilistic seismic hazard analysis, seismic fragility and vulnerability analysis, and earthquake catastrophe risk modelling, so as to develop new public and private partnerships, as well as multi-faceted strategies in risk mitigation. The scope of the mini-symposium is broad, and contributions related to the following topics and other pertinent topics are welcome:

• Probabilistic Seismic Hazard Analysis
• Uncertainty Quantification and Seismic Reliability Assessment
• Seismic Fragility and Vulnerability Analysis
• Earthquake Catastrophe Risk Modelling
• Seismic Resilience
• Post-Disaster Impact Analysis
• Risk Financing and Transfer

Session Chairs
Chao-Lie Ning, Tongji University, Shanghai, China. E-mail: clning@tongji.edu.cn
Xiaohui Yu, Guilin University of Technology, Guilin, Guangxi, China. E-mail: yxhhit@126.com
Kun Ji, Hohai University, Nanjing, Jiangsu, China. Email: jikun@hhu.edu.cn
Wenqi Du, Wuhan University, Wuhan, China. Email: wqdu309@whu.edu.cn