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Causal Factors and Symptoms of Task-Related Human Fatigue in Vessel Traffic Service: A Task-Driven Approach

Published online by Cambridge University Press:  23 June 2020

Fan Li Open the ORCID record for Fan Li [Opens in a new window] ,
Chun-Hsien Chen ,
Gangyan Xu ,
Danni Chang Open the ORCID record for Danni Chang [Opens in a new window]  and
Li Pheng Khoo
Fan Li
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
Chun-Hsien Chen
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
Gangyan Xu
Affiliation:
(Center of Urban Emergency Management and Traffic Safety, School of Architecture, Harbin Institute of Technology, Shenzhen, China) (Intelligent Transportation Lab, Shenzhen Key Laboratory of Urban Planning and Decision Making, Harbin Institute of Technology, Shenzhen, China)
Danni Chang*
Affiliation:
(School of Design, Shanghai Jiao Tong University, Shanghai, China)
Li Pheng Khoo
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
*
(E-mail: dchang1@sjtu.edu.cn)
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Abstract

Human fatigue is a major risk factor in transportation that contributes, directly or indirectly, to a large number of traffic accidents. Though many studies have investigated fatigue-inducing factors in transportation to manage human fatigue more efficiently, there are limited studies related to vessel traffic service (VTS). To fill this gap, this work aims to determine the key causal factors and symptoms of human fatigue with a focus on VTS operations. Achieving this aim is hindered by the problems of no standard definition of task-related fatigue and limited data sources. To solve these problems, this paper proposes a novel definition of task-related human fatigue, a task-driven approach for identifying causal factors and a causal network-based approach for selecting key causal factors. Twelve key causal factors of human fatigue in VTS were identified and analysed. In addition, it was found that VTS operators suffered from multidimensional fatigue, especially physical fatigue. The results provide a foundation and future directions for designing interventions to manage human fatigue.

Keywords

Human FatigueTask-DrivenCausal FactorsHuman Fatigue Causal NetworkVessel Traffic Service
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 6 , November 2020 , pp. 1340 - 1357
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Copyright
Copyright © The Royal Institute of Navigation 2020

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