Safety Statistical Analysis Based on Urban Rail Transit Operation

Yan Hui Wang; Jun Jin; Ling Xi Zhu; Yong Qin; Ping Li

doi:10.4028/www.scientific.net/AMM.448-453.4167

Paper Titles

The Application Research of Contingent Valuation Method in Urban Park
p.4150

Regional Synergetic Development: Strategic Thoughts on Exalting Urban Tourism Competitiveness for Jiangsu
p.4154

Research of Based Sustainable Development on Tourist Attractions Second Pioneering
p.4159

A Study on China's Regional Capital Allocation Efficiency and Influencing Factors
p.4163

Safety Statistical Analysis Based on Urban Rail Transit Operation
p.4167

Heterogeneity in Trade Duration and Firm Subsidy-Evidence from the Annual Survey of Chinese Industrial Firm Data in 1998-2007
p.4175

The Analysis for New Energy Making Power Generation in China
p.4179

Cooperative Game Analysis on Regional Economic Development and Environmental Governance
p.4184

Collaborative Reverse Logistics to Promote Environmental Protection
p.4188

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 448-453Safety Statistical Analysis Based on Urban Rail...

Safety Statistical Analysis Based on Urban Rail Transit Operation

Abstract:

Aiming at the characteristics of the safety of urban rail transit system operation, this paper adopts the comprehensive analysis and statistical chart included by the statistical analysis to process the data, which is based on the relevant data in accordance with Beijing Rail Traffic Control Center Statistics in 2012 and indicators of the station, line and road network, in addition, the trend and the indicator between horizontal and longitudinal contrast are also analyzed about stations, lines and the road network . The results can conclude the potential security risks information, such as, the maximum early peak average daily transfer of Xizhimen station, the maximum passenger traffic of Line1 ,the maximum passenger traffic of the road network up to July and August, and the largest proportion of signal failure. Finally, the laws can be find out, and the specific prevention measures can be put forward for the management, which has a certain significance for the reduction of accidents, and can give some theoretical guidance to urban rail transit operations managers.

You might also be interested in these eBooks

Renewable Energy and Environmental Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 448-453)

Pages:

4167-4172

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.448-453.4167

Citation:

Cite this paper

Online since:

October 2013

Authors:

Yan Hui Wang, Jun Jin*, Ling Xi Zhu, Yong Qin, Ping Li

Keywords:

Indicators Information Statistical Analysis, Operational Safety, Urban Rail Transit

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Y．Dutuit，F．Innal，A．Rauzy，J．Signoret．Probabilistic assessments in relationship with safety integrity levels by using fault trees[J]．Reliability Engineering and System Safety，2008, 93(12)：1 867—1 876.

DOI: 10.1016/j.ress.2008.03.024

Google Scholar

[2] Zhao Huixiang. The operation of urban rail transit system safety and reliability studies [D]. Shanghai: Tongji University, 2006. (In Chinese).

Google Scholar

[3] Wang Hongde, Pan Ke. Based on AHP affecting urban subway operation safety hazard analysis and preventive measures [J]. China Railway Society, 2007, 29 (2) : 27-31. (In Chinese).

Google Scholar

[4] Liu Tianshun, Zhu Xiaojie, Xu Ruihua. The operation of urban rail transit system safety and reliability analysis [J]. Urban Mass Transit Research, 2006, 9 (1) : 15-17. (In Chinese).

Google Scholar

[5] Zhang Di, HE Jie, Zhang Xiaohui. urban rail transit system operator safety Indexes [J]. Urban Mass Transit Research, 2010, 13 (3) : 35-37. (In Chinese).

Google Scholar