Image of Dr Shiqi Fan

Dr Shiqi Fan

School of Engineering

Faculty of Engineering and Technology

Research interests:
· Maritime human factors
· Maritime safety and security
· Accident analysis and prevention
· Decision making

Languages

English
Chinese (Mandarin)

Degrees

2020, Liverpool John Moores University, United Kingdom, PhD
2020, Wuhan University of Technology, China, PhD
2014, Wuhan University of Technology, China, BEng

Certifications

2023, Engineering Council, Charted Engineer (CEng)
2023, Institute of Marine Engineering Science and Technology, United Kingdom, CMarEng MIMarEST
2022, Advance HE's leadership development, Aurora 2022

Academic appointments

Research Fellow, Liverpool John Moores University, 2021 - present

Highlighted publications

Fan S, Yang Z. 2023. Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method Reliability Engineering and System Safety, 233 DOI Publisher Url Public Url

Fan S, Yang Z. 2022. Safety and security co-analysis in transport systems: Current state and regulatory development Transportation Research Part A: Policy and Practice, 166 :369-388 DOI Publisher Url Public Url

Fan S, Yang Z, Wang J, Marsland J. 2022. Shipping accident analysis in restricted waters: Lesson from the Suez Canal blockage in 2021 Ocean Engineering, 266 DOI Publisher Url Public Url

Fan S, Blanco Davis E, Zhang J, Bury A, Warren J, Yang Z, Yan X, Wang J, Fairclough S. 2020. The Role of the Prefrontal Cortex and Functional Connectivity during Maritime Operations: An fNIRS study Brain and Behavior, DOI Author Url Publisher Url Public Url

Fan S, Zhang J, Blanco-Davis E, Yang Z, Yan X. 2020. Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS Ocean Engineering, 210 DOI Author Url Publisher Url Public Url

Fan S, Blanco-Davis E, Yang Z, Zhang J, Yan X. 2020. Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network Reliability Engineering and System Safety, 203 DOI Author Url Publisher Url Public Url

Fan S, Zhang J, Blanco-Davis E, Yang Z, Wang J, Yan X. 2018. Effects of seafarers' emotion on human performance using bridge simulation Ocean Engineering, 170 :111-119 DOI Author Url Publisher Url Public Url

Journal article

Fan S, Shi K, Weng J, Yang Z. 2025. Letting losses be lessons: Human-machine cooperation in maritime transport Reliability Engineering and System Safety, 253 DOI Publisher Url

Fan S, Fairclough S, Khalique A, Bury A, Yang Z. 2025. Towards advanced decision-making support for shipping safety: A functional connectivity analysis Transportation Research Part E: Logistics and Transportation Review, 193 DOI Publisher Url

Shi K, Fan S, Weng J, Yang Z. 2024. Seafarer competency analysis: Data-driven model in restricted waters using Bayesian networks Ocean Engineering, 311 DOI Publisher Url Public Url

Ma X, Fan S, Blanco-Davis E, Shi G, Yang Z. 2024. Bulk carrier accident severity analysis in Australian waters using a data-driven Bayesian network Ocean Engineering, 310 DOI Publisher Url Public Url

Shi K, Weng J, Fan S, Blanco-Davis E, Yang Z. 2024. Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study Journal of Transportation Safety and Security, :1-25 DOI Publisher Url Public Url

Cui R, Liu Z, Wang X, Fuchi M, Konishi T, Zhou Y, Tao J, Yang Z, Fan S, Zhao Z. 2023. The Evaluation of Seafarer Fatigue as a Performance-Shaping Factor in the Maritime HRA Method ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9 DOI Publisher Url

Fan S, Yang Z. 2023. Accident data-driven human fatigue analysis in maritime transport using machine learning Reliability Engineering & System Safety, 241 DOI Publisher Url Public Url

Shi K, Weng J, Fan S, Yang Z, Ding H. 2023. Exploring seafarers’ emotional responses to emergencies: An empirical study using a shiphandling simulator Ocean and Coastal Management, 243 DOI Publisher Url Public Url

Fan S, Yang Z. 2023. Analysing seafarer competencies in a dynamic human-machine system Ocean and Coastal Management, 240 DOI Publisher Url Public Url

Fan S, Blanco-Davis E, Fairclough S, Zhang J, Yan X, Wang J, Yang Z. 2023. Incorporation of seafarer psychological factors into maritime safety assessment Ocean and Coastal Management, 237 DOI Publisher Url Public Url

Fan S, Yang Z. 2023. Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method Reliability Engineering and System Safety, 233 DOI Publisher Url Public Url

Cao Y, Wang X, Wang Y, Fan S, Wang H, Yang Z, Liu Z, Wang J, Shi R. 2023. Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network Ocean Engineering, 269 DOI Publisher Url Public Url

Fan S, Yang Z. 2022. Safety and security co-analysis in transport systems: Current state and regulatory development Transportation Research Part A: Policy and Practice, 166 :369-388 DOI Publisher Url Public Url

Fan S, Yang Z, Wang J, Marsland J. 2022. Shipping accident analysis in restricted waters: Lesson from the Suez Canal blockage in 2021 Ocean Engineering, 266 DOI Publisher Url Public Url

Cui R, Liu Z, Wang X, Yang Z, Fan S, Shu Y. 2022. The impact of marine engine noise exposure on seafarer fatigue: A China case Ocean Engineering, 266 DOI Publisher Url Public Url

Liang X, Fan S, Lucy J, Yang Z. 2022. Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network Reliability Engineering and System Safety, 226 :1 DOI Publisher Url Public Url

Fan S, Blanco Davis E, Zhang J, Bury A, Warren J, Yang Z, Yan X, Wang J, Fairclough S. 2020. The Role of the Prefrontal Cortex and Functional Connectivity during Maritime Operations: An fNIRS study Brain and Behavior, DOI Author Url Publisher Url Public Url

Fan S, Zhang J, Blanco-Davis E, Yang Z, Yan X. 2020. Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS Ocean Engineering, 210 DOI Author Url Publisher Url Public Url

Fan S, Blanco-Davis E, Yang Z, Zhang J, Yan X. 2020. Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network Reliability Engineering and System Safety, 203 DOI Author Url Publisher Url Public Url

Fan S, Yang Z, Blanco-Davis E, Zhang J, Yan X. 2020. Analysis of maritime transport accidents using Bayesian networks Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, DOI Author Url Publisher Url Public Url

Fan S, Zhang J, Blanco-Davis E, Yang Z, Wang J, Yan X. 2018. Effects of seafarers' emotion on human performance using bridge simulation Ocean Engineering, 170 :111-119 DOI Author Url Publisher Url Public Url

Wan C, Yang Z, Zhang D, Yan X, Fan S. 2017. Resilience in transportation systems: a systematic review and future directions Transport Reviews, DOI Author Url Publisher Url Public Url

Conference publication

Fan S, Yang Z. 2023. Systematic analysis of human factors in maritime transportation 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023, :158-164 DOI Publisher Url

Wang Z, Zhang J, Mao Z, Fan S, Wang Z, Wang H. 2022. Emotional State Evaluation during Collision Avoidance Operations of Seafarers Using Ship Bridge Simulator and Wearable EEG 6th International Conference on Transportation Information and Safety: New Infrastructure Construction for Better Transportation, ICTIS 2021, 2021 6th International Conference on Transportation Information and Safety (ICTIS) :415-422 DOI Publisher Url Public Url

Chen J, Fan S, Zhang J, Tian W. 2019. Feature Extraction of Seafarers' Workload Based on EEG Signals Guo W, Li S, Miao Q. 2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 10th IEEE Prognostics and System Health Management Conference (PHM-Qingdao) DOI Author Url Publisher Url

Fan S, Zhang J, Blanco-Davis E, Yang Z, Wang J, Yan X. 2018. Study on seafarers’ emotion identification during watch-keeping using bridge simulation Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018, 28th International European Safety and Reliability Conference :347-354 DOI Author Url Publisher Url Public Url

Fan S, Yan X, Zhang J, Wang J. 2017. A Review on Human Factors in Maritime Transportation Using Seafarers' Physiological Data 2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS), 4th International Conference on Transportation Information and Safety (ICTIS) :104-110 DOI Author Url Publisher Url

Liang Z, Mao W-G, Zhang D, Fan S-Q. 2017. Use of Bayesian networks for emergency assistance assessment of ship capsizing 2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS), 4th International Conference on Transportation Information and Safety (ICTIS) :92-98 DOI Author Url Publisher Url

Yan XP, Zhang JF, Wu B, Fan SQ, Zhang D. 2016. Strategies on improving maritime transportation safety of the Yangtze River Soares CG, Santos TA. MARITIME TECHNOLOGY AND ENGINEERING 3, VOLS 1-2, 3rd International Conference of Maritime Technology and Engineering (MARTECH) :29-38 DOI Author Url Publisher Url

Fan S, Zhang D, Blanco-Davis E, Wang J, Huang M, Zhang F, Yan X. 2016. Current Status and Framework of China's Inland Passenger Ship Safety System Zhang R, Zhang J, Hensher D, Fu X, Hua G, Tang M. 2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016), International Conference on Logistics, Informatics and Service Sciences (LISS) DOI Author Url Publisher Url

Chapters

Fan S, Yang Z. 2022. A neurophysiological data driven framework for assessing mental workload of seafarers Trends in Maritime Technology and Engineering Volume 2 :197-204 CRC Press DOI Publisher Url

Thesis/Dissertation

Fan S. 2020. HUMAN FACTORS IN MARITIME TRANSPORTATION AND MENTAL WORKLOAD ANALYSES FOR SEAFARERS IN BRIDGE SIMULATION Blanco Davis E, Yang Z, Fairclough S. Public Url

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