Abstract
Abstract Understanding the causation of accidents is essential to promote metro operation safety. In terms of 243 reported metro operation accident cases in China, a directed weighted network was constructed based on complex network theory, where nodes and directed edges denotes factors and event chains respectively. To reveal the key causal factors, the topological characteristics of metro operation accident network (MOAN) were analyzed from both global and local views. The results show that facility-type factors are more closely related to the occurrence of the accidents from the perspectives of average path length and cascading effects. Accident types like train delay and train suspension are the great risk recipients. Key causal factors with large out-degree, out-strength, betweenness centrality and cluster coefficient, such as communication and signal failure, vehicle failure and piling into the train should be noticed. The research framework proposed in the paper is not only applicable to China’s metro operation system, but also appropriate for other transportation system safety studies.
Highlights
Metro is a complex system composed of “man-machine-electricity”, whose subsystems are closely related to each other
Metro operation accidents invariably do not result from a single factor, but from a combination of person, facility, environment and management factors
Systemic accident models mostly adopt qualitative analysis and the results may be subject to the subjective emotion of the respondents
Summary
Metro is a complex system composed of “man-machine-electricity”, whose subsystems are closely related to each other. Metro operation accidents invariably do not result from a single factor, but from a combination of person, facility, environment and management factors. In considering the complexity of the causation, systemic accident models should be introduced. There were three noted methods in such models, namely Accimap[1], human factors analysis and classification system (HFACS)[2] and systems theoretic accident modelling and processes model (STAMP)[3]. Many efforts have been made to use these three methods to reveal how accidents occur[4,5,6]. Systemic accident models mostly adopt qualitative analysis and the results may be subject to the subjective emotion of the respondents
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
