Assessing Supply Chain Disruption Risks from Infrastructure Failures with InfraEcoBridge

Abstract

Understanding the impacts of infrastructure failures on supply chain system is critical but challenging. Here, Dr Wang proposes a general modelling framework, called InfraEcoBridge, that can resemble the impact of critical infrastructure function loss on economic networks, even in the absence of detailed supply chain datasets. InfraEcoBridge generates a series of artificial supply chain networks based on macroeconomic datasets and statistical characteristics of real-world supply chain system, and then embeds available infrastructure datasets into the generated network. In this way, InfraEcoBridge bridges the two types of information for assessing supply chain disruptions from infrastructure failures. InfraEcoBridge was proven to be effective in the Japanese earthquake case. By applying the model to a global port dataset, Dr Wang demonstrates the extensive information that InfraEcoBridge can provide for climate change adaptation, including the identification of the criticality of infrastructure in economic systems, measurement of the economic externalities of adaptation actions on infrastructures, and infrastructure planning.

 

Speaker

Dr Daoping Wang holds the position of Lecturer in Risk, Environment and Society at King’s College London. He is a dedicated researcher with a keen interest in the coupled natural and human systems and climate change adaptation analysis. Before joining King’s, he concentrated his research efforts on applying artificial intelligence techniques to assess business risks stemming from climate change while at Cambridge. Dr Wang also holds the position of Hoffmann Fellow for the Fourth Industrial Evolution of the World Economic Forum.