Review of risk concepts and perspectives in risk assessment of maritime transportation

被引：0

作者：

Goerlandt, F. ^{[1
]}

Montewka, J. ^{[1
]}

机构：

[1] Aalto Univ, Dept Appl Mech, Marine Technol, Res Grp Maritime Risk & Safety, Espoo, Finland

来源：

SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS | 2015年

关键词：

FORMAL SAFETY ASSESSMENT; SINGAPORE STRAIT; PROBABILITY; MANAGEMENT; ACCIDENTS; QUANTIFICATION; UNCERTAINTY; SIMULATION; FREQUENCY; SYSTEM;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Shipping accidents can have severe consequences, causing concerns to various stakeholders. This has led to research into risk assessment methods for the maritime transportation system. This paper presents an analysis of risk concepts and perspectives adopted in 44 methods for risk assessment in maritime transportation. As a methodological framework for analysis, a historical classification of risk concepts and a novel categorization of risk perspectives along the realist-constructivist continuum are applied. Analyses reveal that in the maritime transportation, risk is strongly tied to probability and that a wide range of perspectives is found, from realism over scientific proceduralism to more constructivist views.

引用

页码：1547 / 1554

页数：8

共 50 条

[31] Shore power management for maritime transportation: Status and perspectives [J].

Qia, Jingwen ;

Wang, Shuaian ;

Peng, Chuansheng .

MARITIME TRANSPORT RESEARCH, 2020, 1

[32] Framework for quantitative resilience analysis of maritime transportation systems from risk perspectives: A case study of a ship stuck in ice in Arctic waters [J].

Fu, S. ;

Zhang, D. ;

Zio, E. ;

Wang, Y. ;

Yan, X. P. .

RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE, 2017, :2215-2222

[33] Study on total risk assessment in urban rail transportation [J].

Dai baoqian ;

Wang tong ;

Jiang yukun ;

Qin yeuping .

PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON RISK ANALYSIS AND CRISIS RESPONSE, 2007, 2 :711-713

[34] From Conventional to Machine Learning Methods for Maritime Risk Assessment [J].

Rawson, A. ;

Brito, M. ;

Sabeur, Z. ;

Tran-Thanh, L. .

TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, 2021, 15 (04) :757-764

[35] A Fuzzy Ballast Water Risk Assessment Model in Maritime Transport [J].

Mouchtoglou, Konstantina ;

Zacharia, Paraskevi ;

Nikolaou, Grigoris .

SUSTAINABILITY, 2024, 16 (08)

[36] Towards system-theoretic risk management for maritime transportation systems: A case study of the yangtze river estuary [J].

Fu, Shanshan ;

Gu, Siyuan ;

Zhang, Yue ;

Zhang, Mingyang ;

Weng, Jinxian .

OCEAN ENGINEERING, 2023, 286

[37] Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier [J].

Skelin, Ana Kuzmanic ;

Vojkovic, Lea ;

Mohovic, Dani ;

Zec, Damir .

TRANSACTIONS ON MARITIME SCIENCE-TOMS, 2021, 10 (02) :330-347

[38] On risk assessment and risk acceptance of dangerous goods transportation through road tunnels in Greece [J].

Benekos, I. ;

Diamantidis, D. .

SAFETY SCIENCE, 2017, 91 :1-10

[39] An improved FMEA method based on the expert trust network for maritime transportation risk management [J].

Liu, Peide ;

Wu, Yifan ;

Li, Ying ;

Wu, Xiaoming .

EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238

[40] Research on flood risk assessment model at regional scale [J].

Chen Hao-rui ;

Wang Shao-li .

2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS, 2013, :472-478

← 1 2 3 4 5 →