Abstract
Station passenger flow safety status is analyzed based on risk theory and a transit station, XI’ERQI Station, is analyzed in this paper. Station passenger flow safety status is an important part of station safety status. The results indicate that the safety of passenger flow of a rail transit station is mainly determined by both the occurrence probability and the influence degree of passenger flow. Comprehensive passenger density and passenger evacuation time are chosen as the key indices for safety evaluation of the rail transit station. Combining fuzzy theory with fuzzy comprehensive evaluation method, a fuzzy comprehensive evaluation model based on passenger flow density and evacuation time is established, which is used to identify and analyze the overall safety level of a rail transit station. The results produced from the proposed model can provide useful information for preparation of the early warning of a rail transit station, and the passenger safety assurance.
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Acknowledgments
The authors would like to express their thanks to the editor and anonymous reviewers for their help in revising the manuscript. This study is sponsored by the National key R & D project (2016YFB1200402). The support of State Key Lab of Rail Traffic Control & Safety of Beijing Jiaotong University is also gratefully acknowledged.
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Zheng, Y., Qin, Y., Guo, J., Jia, L., Gao, J. (2018). Risk Theory-Based Safety Evaluation of Passengers in Rail Transit Station. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_74
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DOI: https://doi.org/10.1007/978-981-10-7989-4_74
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