Risk Analysis of Heavy-cargo Transportation Accidents based on DEMATEL-ISM
Zhu Zeng, Qiao Zhang, Yuansheng Wang
Journal of Intelligent Computing, Vol. 15, No. 2, 2024.
DOI: https://doi.org/10.6025/jic/2024/15/2/33-44
Link: https://www.dline.info/jic/fulltext/v15n2/jicv15n2_1.pdf
Abstract:
Safety problems of heavy-cargo transportation have been one of the key problems that hinder industrial development. With implementing the â€œOne Belt, One Roadâ€ strategy and the â€œtraffic-based state developmentâ€ strategy, large infrastructural projects increase quickly, which proposes higher requirements for the safety management of heavy-cargo transportation. It is necessary to  comprehensively explore and analyze safety accident risk factors of heavy-cargo transportation. This study analyzed the heavy-cargo transportation process systematically, and basic evaluation units were determined and recognized. Risk sources were recognized from five aspects of â€œworkers, vehicles, cargo, environment and managementâ€. A heavy-cargo transportation safety system model was constructed using the integrated DEMATEL-ISM method. The mutual influencing degrees of risk factors were analyzed, and influencing factors and action mechanisms of heavy-cargo transportation safety accidents were explored. Results showed that inadequate professional knowledge of managers is the intrinsic cause of heavy-cargo transportation safety, while human factors and management
factors are important causes. Hence, strengthening the safety consciousness and behaviours of workers and improving the professional level of managers are keys to decreasing the rate of heavy-cargo transportation accidents and increasing the safety level.