International Conference on Manufacturing Technology, Materials and Chemical Engineering | |
Analysis of Errors in Subway Team Cooperation based on Complex Network | |
机械制造;材料科学;化学工业 | |
Wang, Jie^1 ; Guo, Jun^1 ; Ma, Wei-Wei^2 ; Guo, Xiao-Hong^1 | |
School of Safety and Environmental Engineering, Capital University of Economics and Business, Beijing | |
100070, China^1 | |
Beijing MTR Corporation, 1000068, China^2 | |
关键词: Emergency response; Evaluation results; Human errors; Safe operation; Safety operations; Team collaboration; Team cooperation; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062114/pdf DOI : 10.1088/1757-899X/392/6/062114 |
|
学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
Multi-team collaboration plays an important role in subway safe operation. In order to avoid the delay and inefficiency of emergency response caused by multi-team' errors, this paper built the complex network of subway multi-team's human factors. The complex network is constructed through thirteen types of subway emergency response. The status of events and equipment represents the node and the behavior of multi-team represents the edge in the complex network. The weight of edge ensured by the probability of a person's failure that be calculated though the VACP model. At last, the importance of node and edge in complex network of multi-team is evaluated based on the complex network theory. So the importance of events and equipment status and team's behavior in complex networks of multi-team are evaluated and sorted. The analysis results show that the screen, telephones and broadcasts are important equipment and "contacting by phone", "seeing the screen" and "adjusting the train" are important behavior in the emergency. Some measures are put forward to reduce the human errors in multi-team collaboration operation according to the evaluation results. It is meaningful to improve the safety operation of the subway.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Analysis of Errors in Subway Team Cooperation based on Complex Network | 307KB | download |