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

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Risk Analysis on Maintenance of Freeway workzone: an Approach based on Apriori-LEC

Authors
Luhua Zhao1, Junjing Sun1, Haonan Ding1, Guangna Wu1, Jianfeng Qi2, Wei Wang2, Jie Song3, *
1College of Transportation, Shandong University of Science and Technology, Qingdao, Shandong, 266590, China
2Shandong High Speed Maintenance Group Co Ltd, Jinan, Shandong, 250032, China
3Institute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR), 3 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore
*Corresponding author. Email: 17860778556@163.com
Corresponding Author
Jie Song
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_53How to use a DOI?
Keywords
Freeway maintenance workzone; Deploy and control; Construction; Risk analysis
Abstract

In order to reduce the operation risks of freeway maintenance, the paper used Apriori algorithm method to explore the factors with strong interconnection in the deploy and control, construction process that affect operational safety. An analysis model for the deploy and control, construction was established based on improved LEC (operating condition assessment method, L: likelihood, E: exposure, C: consequence) method; The model was used to calculate and analyze the risk level of a maintenance workzone, and the risk value is between 47-56, which is low and consistent with the safety situation investigated on-site in the maintenance workzone. The model can effectively pinpoint key risk factors affecting the safety of freeway maintenance workzone and be used to conduct quantitative risk assessment, so the study can provide theoretical guidance for improving the safety of freeway maintenance workzone.

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
10.2991/978-94-6463-304-7_53
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_53How 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  - Luhua Zhao
AU  - Junjing Sun
AU  - Haonan Ding
AU  - Guangna Wu
AU  - Jianfeng Qi
AU  - Wei Wang
AU  - Jie Song
PY  - 2023
DA  - 2023/12/04
TI  - Risk Analysis on Maintenance of Freeway workzone: an Approach based on Apriori-LEC
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 511
EP  - 522
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_53
DO  - 10.2991/978-94-6463-304-7_53
ID  - Zhao2023
ER  -