A risk-based game model for rational inspections in port state control
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1195
- Type
- D - Journal article
- DOI
-
10.1016/j.tre.2018.08.001
- Title of journal
- Transportation Research Part E: Logistics and Transportation Review
- Article number
- -
- First page
- 477
- Volume
- 118
- Issue
- -
- ISSN
- 1366-5545
- Open access status
- Not compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work was supported by EU-H2020 (ENRICH, €592k, 2016-2019) and pioneers the use of big risk data for improved port state control (PSC). It led to one research grant (EU-Interreg EMPORIA4KT, €480k, 2019-2022). The paper received the best paper award (over 250 papers) in IAME2018 (EiC, kxli@cau.ac.kr). This ground-breaking research has been used to develop an AIS-based dynamic ship risk index funded by the Portuguese national funding agency (A. Teixeira, IST, angelo.teixeira@tecnico.ulisboa.pt). It is also being used to improve ship detection effectiveness in COSCO (A. Yu, Managing Director, yuca@coscosh.com). Its key part contributed to a 2018 Emerald-Literati-Highly-Commended-Award (T. Roche, literati@emeraldgroup.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -