Citation

Kwesi-Buor J, Menachof DA, Talas R. Accid. Anal. Prev. 2019; 123: 433-447.

Affiliation

School of Mathematics, Computer Science and Engineering, City University London, UK. Electronic address: Risto.Talas@city.ac.uk.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.aap.2016.07.013

PMID

27491716

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.

Copyright © 2016 Elsevier Ltd. All rights reserved.

Language: en