Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Different Strategy Choices Analysis Based on Stochastic Evolutionary Game Model for Construction Safety Supervision With/Without Smart Site Technology
The complexity and uncertainty of engineering construction present significant challenges to construction safety. Smart sites are an important measure of the transformation and upgrading of China’s construction industry. In the context of smart site technology, the impact and the influence path of the smart site technology on the project safety supervision system was introduced in this study, which was mainly based on stochastic evolutionary game theory. Meanwhile, a stochastic evolutionary game model between construction workers and project safety management departments was conducted to improve the safety management strategy of smart sites. Matlab simulation experiments were applied to analyze the changes in safety strategy selection among different groups in the context of the presence and absence of smart site technology. The results show that the introduction of smart site technology could promote the strategy selection of construction workers to be more stable; however, reasonable smart site operation strategies should be formulated to control the management costs in case of negative effects. In addition, an appropriate increase in penalties could reduce the probability of workers adopting unsafe construction strategies. The results are beneficial in assisting the formulation of project safety management strategies in the context of smart sites, improving the level of construction safety management, as well as reducing the occurrence of safety accidents.
Different Strategy Choices Analysis Based on Stochastic Evolutionary Game Model for Construction Safety Supervision With/Without Smart Site Technology
The complexity and uncertainty of engineering construction present significant challenges to construction safety. Smart sites are an important measure of the transformation and upgrading of China’s construction industry. In the context of smart site technology, the impact and the influence path of the smart site technology on the project safety supervision system was introduced in this study, which was mainly based on stochastic evolutionary game theory. Meanwhile, a stochastic evolutionary game model between construction workers and project safety management departments was conducted to improve the safety management strategy of smart sites. Matlab simulation experiments were applied to analyze the changes in safety strategy selection among different groups in the context of the presence and absence of smart site technology. The results show that the introduction of smart site technology could promote the strategy selection of construction workers to be more stable; however, reasonable smart site operation strategies should be formulated to control the management costs in case of negative effects. In addition, an appropriate increase in penalties could reduce the probability of workers adopting unsafe construction strategies. The results are beneficial in assisting the formulation of project safety management strategies in the context of smart sites, improving the level of construction safety management, as well as reducing the occurrence of safety accidents.
Different Strategy Choices Analysis Based on Stochastic Evolutionary Game Model for Construction Safety Supervision With/Without Smart Site Technology
Song Huang (Autor:in) / Jinxin Hu (Autor:in) / Wenxin Xu (Autor:in) / Jianliang Zhou (Autor:in) / Mengya Hao (Autor:in) / Jie Zhou (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Promotion Strategy of Smart Construction Site Based on Stakeholder: An Evolutionary Game Analysis
| DOAJ | 2022
Analysis Based on Game Theory for Construction Safety Supervision
| British Library Conference Proceedings | 2006
| Emerald Group Publishing | 2023