Application of F-ANP method in risk assessment of high-speed railway

doi:10.16265/j.cnki.issn1003-3033.2020.S1.029

Abstract

Abstract: In order to reduce the risk of high-speed rail safety risks, F-ANP was used to evaluate the safety risk level of high-speed railway.Through statistical analysis from the management, personnel, equipment and environment of high-speed railway construction and operation, the index system suitable for high-speed railway risk was constructed,F-ANP method was used to determine the weight of non-independent risk factors in the index layer and the complex relationship between them. Based on the evaluation opinions and results of experts in related fields, a comprehensive fuzzy matrix was established to evaluate the risk level of high-speed railway.The results show that combined with expert opinions and network analysis, the complex risk factors in the construction and operation process of high-speed railway can be quantified relatively comprehensively and accurately, and the model method used to evaluate the risk level of high-speed railway can be built, so as to carry out safety warning and whether to take relevant safeguard measures.

Key words: fuzzy-analytic network process(F-ANP), high speed railway, risk assessment, synthetic fuzzy matrix, risk factors

CLC Number:

X913.4

WEI Yuanyuan, ZUO Zhongyi, CHENG Wei, MENG Ziyue. Application of F-ANP method in risk assessment of high-speed railway[J]. China Safety Science Journal, 2020, 30(S1): 165-171.

References

[1] 张健.高铁大型车站客运组织安全风险评估与预警系统研究[D].北京:中国铁道科学研究院,2019.
ZHANG Jian. Research on safety risk assessment and early warning system for passenger transport organization in high-speed railway large-scale stations [D]. Beijing:China Academy of Railway Sciences,2019.
[2] 聂洪亮.铁路路基工程风险分类及评价研究[D].成都:西南交通大学,2014.
NIE Hongliang. Risk classification and evaluation of railway subgrade engineering[D]. Chengdu:Southwest Jiaotong University,2014.
[3] 王富章.铁路灾害风险评估与应急救援策略研究[D].北京:北京交通大学,2013.
WANG Fuzhang. Research on disaster risk evaluation and emergency rescue strategy of railway[D]. Beijing:Beijing Jiaotong University,2013.
[4] 牛瑾.基于层次分析法和模糊综合评价的中国高铁核心能力评价[D].兰州:兰州理工大学,2017.
NIU Jin. Based on the analytic hierarchy process and fuzzy comprehensive evaluation of core competence of China′s high-speed rail evaluation [D]. Lanzhou:Lanzhou University of Technology,2017.
[5] 于辰成.基于BP神经网络的高铁风险评价模型研究[D].成都:西南交通大学,2014.
YU Chencheng. Research on high-speed rail risk assessment model based on BP neural network[D]. Chengdu:Southwest Jiaotong University,2014.
[6] MACRO C. Evaluation of railway tunnel safety for operation involving trains carrying dangerous goods-fire hazard and risk assessment implemented with probabilistic methods[C].Fourth International Symposium on Tunnel Safety and Security,2010:17-19.
[7] SAAT M R,WERTH C J,SCHAEFFER D,et al. Environmental risk analysis of harardous material rial transportation[J].Joural of Hazardous Materials,2013,264(2):560-569.
[8] SONG Tian, ZHONG Deming, ZHONG Hang. A STAMP analysis on the China-Yongwen railway accident[J].International Conference on Computer Safety, Reliability, and Security,2012,7612:376-387.
[9] 赵冬安.基于故障树法的地铁施工安全风险分析[D].武汉:华中科技大学,2011.
ZHAO Dongan. A dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophy in engineering[D]. Wuhan:Huazhong University of Science and Technology,2011.
[10] 刘美池,尹盼盼,荣文竽.基于模糊模式识别的高铁快运安全综合评价[J].中国安全科学学报,2018,28(增2):149-154.
LIU Meichi, YIN Panpan, RONG Wenyu. Comprehensive evaluation of high-speed railway express safety based on fuzzy pattern recognition[J]. China Safety Science Journal,2018,28(S2):149-154.
[11] 尹佳雯,左忠义,尹盼盼. 基于安全论证法的铁路运营安全评价[J]. 中国安全科学学报,2018,28(增2):155-160.
YIN Jiawen, ZUO Zhongyi, YIN Panpan. Research on safety evaluation index of railway operation based on safety analects[J]. China Safety Science Journal,2018,28(S2):155-160.
[12] 周杨.基于AHP的铁路工程施工阶段风险预警管理研究[D].大连:大连理工大学,2016.
ZHOU Yang. Research on risk early warning management of railway engineering construction stage that based on AHP[D]. Dalian:Dalian University of Technology,2016.
[13] 张鹏,原亮明. 铁路运营安全风险和隐患双重预防模型[J].中国安全科学学报,2019,29(增1):163-167.
ZHANG Peng, YUAN Liangming. Research on double-prevention model of railway operation safety risk and hidden danger[J]. China Safety Science Journal,2019,29(S1):163-167.
[14] 赵杰,郭勇.基于层次分析法的铁路客运车站服务质量评价研究[J].铁道运输与经济,2019,41(6):53-58.
ZHAO Jie, GUO Yong. A research on service quality evaluation of railway passenger station based on analytic hierarchy process[J]. Rail Transport and Economy,2019,41(6):53-58.

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