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Shanshan FU
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Year
Towards a probabilistic model for predicting ship besetting in ice in Arctic waters
S Fu, D Zhang, J Montewka, X Yan, E Zio
Reliability Engineering & System Safety 155, 124-136, 2016
1372016
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways
M Zhang, D Zhang, S Fu, P Kujala, S Hirdaris
Reliability Engineering & System Safety 220, 108317, 2022
1252022
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping
S Fu, Y Yu, J Chen, Y Xi, M Zhang
Reliability Engineering & System Safety 226, 108706, 2022
952022
Safety distance modeling for ship escort operations in Arctic ice-covered waters
M Zhang, D Zhang, S Fu, X Yan, V Goncharov
Ocean Engineering 146, 202-216, 2017
872017
Arctic shipping risk management: A bibliometric analysis and a systematic review of risk influencing factors of navigational accidents
S Fu, F Goerlandt, Y Xi
Safety science 139, 105254, 2021
822021
Framework for the quantitative assessment of the risk of leakage from LNG-fueled vessels by an event tree-CFD
S Fu, X Yan, D Zhang, C Li, E Zio
Journal of loss prevention in the process industries 43, 42-52, 2016
822016
Critical risk factors in ship fire accidents
L Wang, J Wang, M Shi, S Fu, M Zhu
Maritime Policy & Management 48 (6), 895-913, 2021
762021
A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters
S Fu, D Zhang, J Montewka, E Zio, X Yan
Safety science 107, 145-154, 2018
752018
Risk influencing factors analysis of Arctic maritime transportation systems: a Chinese perspective
S Fu, X Yan, D Zhang, M Zhang
Maritime Policy & Management 45 (4), 439-455, 2018
642018
Towards a probabilistic approach for risk analysis of nuclear-powered icebreakers using FMEA and FRAM
S Fu, Y Yu, J Chen, B Han, Z Wu
Ocean Engineering 260, 112041, 2022
542022
Investigation of occurrence likelihood of human errors in shipping operations
J Weng, D Yang, T Chai, S Fu
Ocean engineering 182, 28-37, 2019
542019
Decision-making on process risk of Arctic route for LNG carrier via dynamic Bayesian network modeling
Z Li, S Hu, G Gao, C Yao, S Fu, Y Xi
Journal of Loss Prevention in the Process Industries 71, 104473, 2021
492021
An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters
S Fu, Y Zhang, M Zhang, B Han, Z Wu
Reliability Engineering & System Safety 238, 109459, 2023
482023
Emerging LNG-fueled ships in the Chinese shipping industry: a hybrid analysis on its prospects
C Wan, X Yan, D Zhang, J Shi, S Fu, AKY Ng
WMU Journal of Maritime Affairs 14, 43-59, 2015
402015
Risk reasoning from factor correlation of maritime traffic under Arctic sea ice status association with a Bayesian Belief Network
Z Li, S Hu, G Gao, Y Xi, S Fu, C Yao
Sustainability 13 (1), 147, 2020
252020
Effects of emission control areas on sulfur-oxides concentrations——Evidence from the coastal ports in China
L Xu, Z Zou, J Chen, S Fu
Marine Pollution Bulletin 200, 116039, 2024
242024
Towards system-theoretic risk management for maritime transportation systems: A case study of the yangtze river estuary
S Fu, S Gu, Y Zhang, M Zhang, J Weng
Ocean Engineering 286, 115637, 2023
192023
Framework for process analysis of maritime accidents caused by the unsafe acts of seafarers: a case study of ship collision
Y Wang, S Fu
Journal of marine science and engineering 10 (11), 1793, 2022
182022
The effect of social cognition and risk tolerance on marine pilots’ safety behaviour.
Y Xi, Q Zhang, S Hu, Z Yang, S Fu
Maritime Policy & Management 48 (1), 1-18, 2021
182021
Toward sustainable Arctic shipping: perspectives from China
Q Zhang, Z Wan, S Fu
Sustainability 12 (21), 9012, 2020
172020
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