A structured method for the traffic dispatcher error behavior analysis in metro accident investigation

Wang, Jie; Fang, Weining

doi:10.1016/j.ssci.2014.07.014

Cited by 37 publications

(16 citation statements)

References 30 publications

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“…The occurrence of subway accidents can be attributed to a great many precursors, varying from a natural error to an anthropogenic attack (Lu et al, 2013;Wang and Fang, 2014). Due to the uncertainties of these precursors, it is extremely difficult to quantitatively specify the corresponding destructive power for each failure or attack.…”

Section: The Definition Of Various Failures and Attacksmentioning

confidence: 99%

Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway

et al. 2015

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Section: The Definition Of Various Failures and Attacksmentioning

confidence: 99%

Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway

et al. 2015

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“…Based on the study of unsafe behavior of miners [19,20], this paper realizes the structure conversion of data based on the theory of pan-scene data [24,25,26] and introduces the framework thought of data characteristic analysis into the field of coal mine [27,28]. A framework for analyzing unsafe behavior characteristics of workers in coal mines is formed, and the feasibility and effectiveness of the framework are verified by accident cases.…”

Section: Discussionmentioning

confidence: 99%

Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data

Tong

Zhang

Pengcheng

et al. 2018

IJERPH

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As a high-risk occupation, coal mining has many accidents, primarily due to the unsafe behavior of coal miners. Based on the research of analysis of unsafe behavior and pan-scenario data of miners, a theoretical framework for the analysis of unsafe behavior characteristics was proposed in this paper. The collected data were divided into realistic scenes and abstract scenes according to different manifestations; the pan-scene data were described from the eight dimensions of time, behavioral trace, location, behavioral property, behavioral individual, degree, unsafe action, and specialty using a quantitative method for the structure conversion; and the rules were discovered through cluster analysis and association analysis. A total of 225 coal mine gas explosion accidents were used for analysis, and the pan-scene data description and structure conversion of unsafe behavior that caused these accidents were realized. In a certain cluster, the distribution rules of dimensions and the interaction between different dimensions of unsafe behavior were explored after analysis. The results show that the proposed eight dimensions can fully explain the basic characteristics and attributes of the unsafe behavior of coal miners. The structure conversion can reduce the workload of managers and effectively improve the safety data processing capabilities, and the result of data analysis can provide data support and a management basis for safety management. A new method and thought for the data analysis of miners’ unsafe behavior is provided.

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“…Emergencies are events which happen suddenly and may destroy normal operations. Despite the presence of automated metro operation control system, the emergency management is still heavily dependent upon capabilities of dispatchers at the management centre (Wang & Fang 2014). The system may lose a part of automated safety protection function.…”

Section: How To Cope With Unexpected Scenarios?mentioning

confidence: 99%

Automation of the rail—removing the human factor?

Stene¹

2018

Safety and Reliability – Safe Societies in a Changing World

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A structured method for the traffic dispatcher error behavior analysis in metro accident investigation

Cited by 37 publications

References 30 publications

Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway

Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway

Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data

Automation of the rail—removing the human factor?

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