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A Safety Assessment Model for Handling Dangerous Goods in Port Operations: The Key Role of Detection Capability

Tseng, Po-Hsing; Pilcher, Nick

Authors

Po-Hsing Tseng



Abstract

Recently, resilience studies have been emphasized in the port field, recognizing that many high-risk and unsafe factors in ports might bring serious disasters and economic losses. One major cause of significant losses is accidents from fires, explosions, and the resultant adverse impacts from dangerous goods. Whilst the occurrence of major events related to dangerous goods is relatively low in occurrence, their impact on the environment and economic and social loss, and on human casualties, can be extremely high when they do occur. In order to prevent potential risks and reduce losses, based on a literature review, a safety assessment model was developed with four criteria and 15 sub-criteria of dangerous goods in ports using a fuzzy analytic hierarchy process (FAHP) approach. This model formed the basis for a subsequent stage involving questionnaires with 25 experts. The results of these questionnaires found that the key criteria are detection capability, followed by recovery capability, rescue capability, and resistance capability. Sensitivity analysis is used to identify the criteria’s weight value changes under various scenarios. These findings concern dangerous goods operations management in ports. Critically, these findings emphasize the key role played in the initial stages of determining precisely and exactly what specific goods are in fact dangerous goods, thereby avoiding a domino effect of adverse consequences later. Suggestions are made for policymakers regarding funding and supporting processes for handling dangerous goods, as well as for future research.

Citation

Tseng, P.-H., & Pilcher, N. (2023). A Safety Assessment Model for Handling Dangerous Goods in Port Operations: The Key Role of Detection Capability. Journal of marine science and engineering, 11(9), Article 1704. https://doi.org/10.3390/jmse11091704

Journal Article Type Article
Acceptance Date Aug 25, 2023
Online Publication Date Aug 29, 2023
Publication Date 2023-09
Deposit Date Aug 30, 2023
Publicly Available Date Aug 30, 2023
Electronic ISSN 2077-1312
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 9
Article Number 1704
DOI https://doi.org/10.3390/jmse11091704
Keywords safety management, dangerous goods, port

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