Guangyan Li

Personal Details
Title     Senior Human Factors Consultant
Nationality      British
Summary of Skills
Guangyan is a Senior Human Factors Consultant at Human Engineering.  He has 14 years experience in the field of ergonomics and human factors across a wide range of safety critical industries.  Before joining Human Engineering, Guangyan had worked as an Engineer in consumer product manufacturing industry, a Research Fellow at Robens Centre for Health Ergonomics (University of Surrey), and a Senior Research Fellow at the Institute for Automotive and Manufacturing Advanced Practice (University of Sunderland).
He has over 40 publications and some 30 technical reports in the area of ergonomics/human factors research and applications in various industrial sectors.
Academic Qualifications and Professional Accreditation
BSc in Mechanical Engineering, Tianjin University of Science and Technology
PhD in Ergonomics/Human Factors, University of Nottingham
Registered Member of the Ergonomics Society (MErgS)
Member of the Human Factors and Ergonomics Society Europe Chapter
Key Rail Experience
• Ergonomics assessment of signallers’ workstation (For Westinghouse Rail Systems Ltd.).
• Support to the development of an integrated human factors management system for MTR. (For MTR, Hong Kong).
• Assessment of platform monitor visibility from the train cab. (For Bombardier Transportation UK Ltd.).
• Age-related human factors issues for train operation and SPAD mitigation. (For RSSB).
• LED signals – Initial human factors considerations for UK railway applications. (For Network Rail).
• Assessment of the impact of binocularity and ocular dominance on train cab design. (For Bombardier Transportation UK Ltd.).
• Human Factors support to the railway signal design and evaluation for Railtrack (Network Rail) Great Western Zone, regarding Paddington re-signalling.  This work involves research and recommendations regarding signal conspicuity, and the use of fibre optic signal heads within the signal gantries. These offer the potential to have much lower signals than currently possible.
• Human factors analysis of lineside objects and their conspicuity at varying speeds. This work adds to the overall understanding of driver tasks and their impact in the prevention of SPADs. (For RSSB).
• Driver recognition of lineside signals and signs during a high-speed train operation. (For Network Rail).
• Development of railway signal sighting principles. (For RSSB).
• Analysis of the May/Summer peak in SPAD occurrences from 1985 to 2002, related ‘risk factors’ and mitigation measures. (For RSSB).
• Prioritisation of SPAD risk factors and human factors support to SPAD management in the Southern and Scotland Zones. (For RSSB).
• Study to analyse and catalogue the existing scientific evidence in relation to common factors for SPAD and mitigation measures, and to develop a database that can be used to guide the development of both management strategies and research plans. (For RSSB).

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