Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Multi-Objective Optimization of Construction Worker Unsafe Behavior Inducement Prediction Model

Authors
Xiaolong Wang1, Guangtai Zhang2, 2, *, Erhu Li3, Yan Wang4, Kai Zhang5
1School of Business, Xinjiang University, Urumqi, China
2School of Civil Engineering and Architecture, Xinjiang University, Urumqi, China
3School of Business, Xinjiang University, Urumqi, China
4School of Economics and Trade, Xihua University, Chengdu, China
5School of Mechanical Engineering, Xihua University, Chengdu, China
*Corresponding author. Email: zgtlxh@126.com
Corresponding Author
Guangtai Zhang
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_174How to use a DOI?
Keywords
machine learning; unsafe behaviors among construction workers; multi-objective optimization model; modern construction industry; high-quality development
Abstract

The predictive model for the causative factors of unsafe behaviors among construction workers is optimized with a multi-objective approach, based on the analysis of 27 factors and the use of four machine learning algorithms (CART, RF, AdaBoost, and GBDT) and genetic algorithms. Through a three-dimensional analysis of importance, correlation strength, and influence, five factors, namely risk awareness, education and training, hidden danger investigation and control, supervision level, and planning and design level, were identified to have the most significant impact on unsafe behaviors. This study aims to support the high-quality development of modern construction industry by studying the causative factors of unsafe behaviors among construction workers.

Copyright
© 2024 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 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_174
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_174How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Xiaolong Wang
AU  - Guangtai Zhang
AU  - Erhu Li
AU  - Yan Wang
AU  - Kai Zhang
PY  - 2023
DA  - 2023/10/09
TI  - Multi-Objective Optimization of Construction Worker Unsafe Behavior Inducement Prediction Model
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1710
EP  - 1717
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_174
DO  - 10.2991/978-94-6463-256-9_174
ID  - Wang2023
ER  -