Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Rail Transit Operational Safety Risk Assessment Based on Improved AHP and Cloud Model

Authors
Tengfei Shi1, Heng Wan1, *, Weijie Ma2, Linfeng Gan1
1School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China
2Shanghai Metro First Operation Co, LtdShanghai, China
*Corresponding author. Email: hengwan@sit.edu.cn
Corresponding Author
Heng Wan
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_49How to use a DOI?
Keywords
rail transit; Operational risk; Improve AHP; Cloud model; risk assessment
Abstract

The safety risk assessment system for urban rail transit operations has been studied to provide support and guidance for rail transit operations. Firstly, a risk assessment index system for rail transit operations is established from four levels: station train operation, station passenger capacity, station environment, and station equipment services, providing support for the safe and reliable operation assessment of rail transit. Then, a risk assessment model for rail transit operation safety is proposed, and an improved AHP method is used to determine the weight of the indicators. Then, evaluation scores of indicators at all levels are obtained based on the cloud model assessment method, in order to evaluate the risk level of rail transit operation, providing a judgment basis for rail transit safety operation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
978-94-6463-304-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_49How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tengfei Shi
AU  - Heng Wan
AU  - Weijie Ma
AU  - Linfeng Gan
PY  - 2023
DA  - 2023/12/04
TI  - Rail Transit Operational Safety Risk Assessment Based on Improved AHP and Cloud Model
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 474
EP  - 486
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_49
DO  - 10.2991/978-94-6463-304-7_49
ID  - Shi2023
ER  -