Modelling Vessel Traffic Service to understand resilience in everyday operations
Gesa Praetorius,
Erik Hollnagel and
Joakim Dahlman
Reliability Engineering and System Safety, 2015, vol. 141, issue C, 10-21
Abstract:
Vessel Traffic Service (VTS) is a service to promote traffic fluency and safety in the entrance to ports. This article׳s purpose has been to explore everyday operations of the VTS system to gain insights in how it contributes to safe and efficient traffic movements. Interviews, focus groups and an observation have been conducted to collect data about everyday operations, as well as to grasp how the VTS system adapts to changing operational conditions. The results show that work within the VTS domain is highly complex and that the two systems modelled realise their services vastly differently, which in turn affects the systems׳ ability to monitor, respond and anticipate. This is of great importance to consider whenever changes are planned and implemented within the VTS domain. Only if everyday operations are properly analysed and understood, it can be estimated how alterations to technology and organisation will affect the overall system performance.
Keywords: Vessel Traffic Service (VTS); Functional Resonance Analysis Method (FRAM); Resilience engineering; System design (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832015000861
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:141:y:2015:i:c:p:10-21
DOI: 10.1016/j.ress.2015.03.020
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().