Scenario analysis and disaster preparedness for port and maritime logistics risk management

Kwesi-Buor, John; Menachof, David A.; Talas, Risto

Abstract

System Dynamics (SD) modelling is used to investigate the impacts of policy interventions on industry actors’ preparedness to mitigate risks and to recover from disruptions along the maritime logistics and supply chain network. The model suggests a bi-directional relation between regulation and industry actors’ behaviour towards Disaster Preparedness (DP) in maritime logistics networks. The model also showed that the level of DP is highly contingent on forecast accuracy, technology change, attitude to risk prevention, port activities, and port environment.

Citation

Kwesi-Buor, J., Menachof, D. A., & Talas, R. (2019). Scenario analysis and disaster preparedness for port and maritime logistics risk management. Accident analysis and prevention, 123, 433-447. https://doi.org/10.1016/j.aap.2016.07.013

• Journal Article Type: Article
• Acceptance Date: Jul 10, 2016
• Online Publication Date: Aug 1, 2016
• Publication Date: 2019-02
• Deposit Date: Aug 15, 2016
• Publicly Available Date: Aug 15, 2016
• Journal: Accident analysis and prevention
• Print ISSN: 0001-4575
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 123
• Pages: 433-447
• DOI: https://doi.org/10.1016/j.aap.2016.07.013
• Keywords: Disaster preparedness; Environment instability; Resilient; Logistics; System dynamics; Maritime logistics; Port management; Risk management
• Public URL: https://hull-repository.worktribe.com/output/442232
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0001457516302421
• Additional Information: Authors' accepted manuscript of article published in: Accident analysis and prevention, 2016.
• Contract Date: Aug 15, 2016