Advanced uncertainty modelling for container port risk analysis.
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1198
- Type
- D - Journal article
- DOI
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10.1016/j.aap.2016.08.007
- Title of journal
- Accident Analysis and Prevention
- Article number
- -
- First page
- 411
- Volume
- 123
- Issue
- -
- ISSN
- 0001-4575
- Open access status
- Access exception
- Month of publication
- August
- Year of publication
- 2016
- 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
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4
- Research group(s)
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B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work pioneers the study of the systematic identification of the hazards and quantitative risk evaluation in container ports and is sponsored by the Saudi Government (M Bawazeer, mbawazeer@uksacb.org). Its theoretical novelty on the hybrid algorithms led to the award of an EPSRC grant (EP/R513428/1, 2018-2020) and a keynote opening address in the OBOR conference in Melbourne, Australia (Chairman, caroline.chen@rmit.edu.au). The findings have been used to improve safety practices in the Jeddah Islamic Port (the second largest in Middle East, halyami@kau.edu.sa/ www.ports.gov.sa). The underpinning research resulted in the best paper award by IEEE LISS2017 (over 200 papers) (Chairman, rtzhang@bjtu.edu.cn).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -