收藏切换
Urban Rail Operation Safety Evaluation Index System Based on Principal Component Analysis Method
收藏切换
PDF
Changwu HUI1, 2, Dejie XU1, 2, Liang GONG1, 2, Yuning ZENG1, 2, Miaomiao ZHONG1, 2
Urban Rapid Rail Transit | 2024, 37(2) : 130 - 138
Less
收藏切换
Urban Rapid Rail Transit | 2024, 37(2): 130-138
Operation Management
Urban Rail Operation Safety Evaluation Index System Based on Principal Component Analysis Method
Full
Changwu HUI1, 2, Dejie XU1, 2, Liang GONG1, 2, Yuning ZENG1, 2, Miaomiao ZHONG1, 2
Affiliations
  • 1 School of Traffic and Transportation Lanzhou Jiaotong University Lanzhou 730070
  • 2 Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent Management and Control Lanzhou 730070
doi: 10.3969/j.issn.1672-6073.2024.02.019
Outline
收藏切换

Studying the distribution characteristics and mechanisms of urban rail transit accidents is important for ensuring operational safety and formulating safety control measures. This study statistically analyzes 425 local and international urban rail transit operation accidents from 1970 to 2022 and compares and analyzes the causes and time distribution characteristics of operation accidents. Based on the cause mechanism and principal component analysis method, a safety evaluation system for urban rail transit operations was constructed, and a combined weight evaluation method based on game theory was proposed. Taking the data of 274 operational accidents in China from 1990 to 2022 as an example, combined with expert scoring, the safety status of urban rail transit operations in China was analyzed from a macro perspective. The results indicated that the factors causing operational accidents included personnel, equipment, and environmental factors. Among them, domestic and foreign operational accidents caused by equipment accounted for the highest proportion of accidents, accounting for 56% and 65% respectively. January, March, July, August, and December were the months with frequent accidents, which were the same as the peak months of passenger flow. The combination weighting method not only considers the amount of information in objective statistical data but also combines the experience accumulation of subjective experts, which makes the evaluation results closer to the actual operation situation and proves the feasibility of the evaluation method.

urban rail transit  /  operation safety  /  principal component analysis  /  index system  /  game theory
Changwu HUI, Dejie XU, Liang GONG, Yuning ZENG, Miaomiao ZHONG. Urban Rail Operation Safety Evaluation Index System Based on Principal Component Analysis Method[J]. Urban Rapid Rail Transit, 2024 , 37 (2) : 130 -138 . DOI: 10.3969/j.issn.1672-6073.2024.02.019
Year 2024 volume 37 Issue 2
PDF
309
116
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1672-6073.2024.02.019
  • Receive Date:2023-06-14
  • Online Date:2025-07-09
Article Data
Affiliations
History
  • Received:2023-06-14
  • Revised:2023-11-13
Funding
Affiliations
    1 School of Traffic and Transportation Lanzhou Jiaotong University Lanzhou 730070
    2 Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent Management and Control Lanzhou 730070
References
Share
https://castjournals.cast.org.cn/joweb/dskgjt/EN/10.3969/j.issn.1672-6073.2024.02.019
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT