Title: An evidential reasoning-based approach for risk assessment of intermodal transport of smart containers

Authors: Lijuan Yang; Zhengguo Wang; Wenfeng Li; Chengpeng Wan; Zhifa Tao

Addresses: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China ' School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China ' School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China ' Intelligent Transportation Systems Research Centre, Wuhan University of Technology, Wuhan, China; State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan, China ' China Railway Tielong Container Logistics Company Limited, Dalian, Liaoning Province, China

Abstract: In recent years, the rapid development of smart container provides support for international cargo transportation and global trade, and frequent container transportation accidents have aroused widespread attention from all parties. Based on the risk propagation theory, risk matrix and evidential reasoning, this research proposes a risk assessment model for intermodal transport of smart containers. In which, the risk propagation theory is used to investigate the evolution of risk factors related to smart containers intermodal transport, the risk matrix method is used to determine the weight of each risk factor, and the evidential reasoning theory is applied to aggregate the risk assessment results of the entire transportation network. The study shows that the proposed method can be used to effectively identify the key risk factors and different risk factors dominate in different transport processes. By exploring the risk propagation process of smart container-related risk factors, it is found that the confidence of different risk levels will show different changes with the progress of transportation routes.

Keywords: intermodal transport; smart container; evidential reasoning; risk propagation; risk assessment; internet of things; IoT.

DOI: 10.1504/IJSTL.2024.140427

International Journal of Shipping and Transport Logistics, 2024 Vol.18 No.4, pp.403 - 430

Received: 27 Jul 2022
Accepted: 19 Feb 2023
Published online: 08 Aug 2024 *

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