| Biography | |
|---|---|
 Dr. Chengpeng Wan Wuhan University of Technology, China |
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| Title: Evaluating recovery strategies of liner shipping network disruption - a resilience perspective | |
| Abstract: Container shipping in a liner mode is dominating the world intercontinental maritime transportation. It has been a main driver to sustain the rapid world economy development over the past decades. Ports, as the main components of global liner shipping networks, have been exposed to different sources of risks in their daily operations. Given the possible catastrophic consequence when accidents occur, it requires to continuously review the current practice and ensure the overall safety and efficiency of the whole liner shipping network system. Safety is one of the issues with great importance in global transportation. However, its foci have being expanded from traditional risk through security, to resilience and sustainability. Resilience has attracted considerable interests from both researchers and practitioners across different research domains in recent years, offering new insights into the risk management of maritime transportation. In view of this, this paper aims to establish a novel transport resilience framework to measure the effectiveness of different recovery strategies of liner shipping network disruption in a quantitative manner. It aids to support the comparison and ranking of any recovery strategy by shifting the risk foci from a local to global level for optimal resilience of the whole network. In the proposed framework, a resilience-based indicator is pioneered to take into account both the dynamic resilience of liner shipping networks and the total cost with which a recovery strategy associates to restore the whole system. Based on a resilience loss triangle model, we define the loss of resilience in this study as the ratio between the changed performance of a liner shipping network and the original status with respect to the total recovery time. Large databases are explored to investigate the recovery of disruption of the Maritime Silk Road (MSR) liner shipping network under storm disasters in a case study. Four types of recovery strategies (i.e. the random sequence based recovery strategy, the degree centrality based recovery strategy, the betweenness centrality based recovery strategy, and the closeness centrality based recovery strategy) are compared to demonstrate how the proposed new method can effectively aid resilience decision of large transport networks. | |
| Biography: Chengpeng Wan is Assistant Professor of Intelligent Transport Systems Research Center, Wuhan University of Technology, China. He received his BSc in Marine Engineering from Wuhan University of Technology in 2012, and PhD in Maritime and Transport Engineering from Liverpool John Moores University, UK in 2019. Dr Wan’s major research interests include maritime safety and security analysis, risk based multiple attribute decision making in maritime field, applications of complex network in maritime transportation and resilience management of transport systems. He has authored 3 book chapters, 13 refereed journal papers and 15 refereed conference papers. He has served as a reviewer for several world-leading scientific journals in the transportation field including Accident Analysis & Prevention, Transport Reviews, Transportation Research Part A: Policy and Practice, and Transportation Research Part E: Logistics and Transportation Review. | |
