Models and computational algorithms for maritime risk analysis: a review

Gino J. Lim (), Jaeyoung Cho (), Selim Bora (), Taofeek Biobaku () and Hamid Parsaei ()
Additional contact information
Gino J. Lim: University of Houston
Jaeyoung Cho: Lamar University
Selim Bora: Texas A&M University at Qatar
Taofeek Biobaku: University of Houston
Hamid Parsaei: Texas A&M University at Qatar

Annals of Operations Research, 2018, vol. 271, issue 2, No 19, 765-786

Abstract: Abstract Due to the undesirable implications of maritime mishaps such as ship collisions and the consequent damages to maritime property; the safety and security of waterways, ports and other maritime assets are of the utmost importance to authorities and researches. Terrorist attacks, piracy, accidents and environmental damages are some of the concerns. This paper provides a detailed literature review of over 180 papers about different threats, their consequences pertinent to the maritime industry, and a discussion on various risk assessment models and computational algorithms. The methods are then categorized into three main groups: statistical, simulation and optimization models. Corresponding statistics of papers based on year of publication, region of case studies and methodology are also presented.

Keywords: Maritime risk analysis; Literature review; Risk assessment; Risk models (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-018-2768-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:annopr:v:271:y:2018:i:2:d:10.1007_s10479-018-2768-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-018-2768-4

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().