Using evolutionary game theory to study construction safety supervisory mechanism in China

Jiang, Xiaoyan; Sun, Haoyu; Lu, Kun; Lyu, Sainan; Skitmore, Martin

doi:10.1108/ecam-03-2020-0182

Cited by 16 publications

(6 citation statements)

References 58 publications

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“…The evolutionary game model proposed in literatures 41 , 49 , 51 were utilized to conduct various perspectives of optimization analysis on the implementation pathway of safety performance in the construction industry. There exists a typical 2-player, 2 2 game model, as well as an extended 3-player, 3 3 game model with 8 strategy sets.…”

Section: Methodsmentioning

confidence: 99%

“…Gong et al 40 analyzed the decision-making interaction among stakeholders under both static and dynamic supervisory mechanisms to eliminate information asymmetry between the government and contractors in construction projects and improve the safety performance of construction projects. Jiang et al 41 further analyzed the game relationship of safety regulatory mechanisms on construction sites from the perspective of the involvement of supervising engineers and pointed out that excessive government regulation could have negative impacts.…”

Section: Related Workmentioning

confidence: 99%

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Optimization of construction safety resource allocation based on evolutionary game and genetic algorithm

Peng,

Zhang,

Feng

et al. 2023

Sci Rep

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In the construction industry, ensuring the safety performance of a project relies heavily on the effective allocation of safety resources. As the importance of mental health in the construction industry increases, evolutionary game theory can be used to analyze the interaction mechanism of various factors affecting safety performance during the construction phase. The objective of this paper is to construct an analytical model that combines evolutionary game theory with genetic algorithms from the perspective of Leader-Member Exchange Ambivalence. The model aims to quantify and compare the various factors that influence achieving the expected safety state and identify the specific necessary constraints. Initially, we analyzed the relationships among construction site employees, divided them into superiors and subordinates, and established a game model and payoff matrix based on the research background. Next, we introduced genetic algorithms into the model via the replicator dynamic equation for optimization. We adjusted the coefficients of safety risk level, psychological expected return, moral identity, and other factors to simulate various construction site scenarios. Simulation and optimization results indicate that genetic algorithms provide more accurate reference values for safety resource allocation compared to preset or manually assigned values.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Optimization of construction safety resource allocation based on evolutionary game and genetic algorithm

Peng,

Zhang,

Feng

et al. 2023

Sci Rep

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“…In fact, continuous characterization of human behavior in games has achieved research results in many other fields [35]- [37]. This paper uses two continuous variables to describe the safety production behavior of coal mining enterprises and the supervision behavior of regulatory authorities, that is, the safety investment of coal mining enterprises and the supervision investment of regulatory authorities.…”

Section: References Supervision Gamementioning

confidence: 99%

Evolutionary Game Analysis on Safety Supervision for Coal Mine Considering Speculative Behavior

Tu,

Shi,

et al. 2024

IEEE Access

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This paper considers the speculative behavior of coal mining enterprises and regulatory authorities, and uses evolutionary game theory to study safety supervision in production process of coal mine. It describes the game strategies of coal mining enterprises and regulatory authorities as safety production investment and safety supervision investment respectively. The four game scenarios are defined based on the different speculations of the two parties. The evolutionary game model is established and solved. The evolutionary game analysis is performed, and the conditions that the system evolves to four stable points are obtained. The numerical simulations are used to further analyze the influence of the parameters. The results show that when the parameters meet different conditions, the system evolves to four different stable points. The smaller the number of individuals in the regulatory authorities who choose speculative strategy, the more favorable it is for coal mining enterprises to make normal investment. The more underestimated the supervision power of the regulatory authorities, the more inclined the coal mining enterprises are to adopt speculative strategies. The higher the regulatory authorities' assessment of the safety investment of coal mining enterprises, the more inclined regulatory authorities are to adopt speculative strategies.

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“…In the research direction of safety management, scholars have analyzed management strategies in key areas such as coal mine safety [37], agricultural safety [38], environmental safety [39], food safety [40], traffic safety [41], and building safety [42] management based on evolutionary game theory. Liu et al built the evolutionary game model of coal mine safety regulation, which is composed of a coal mine regulator and multiple coal mine enterprises.…”

Section: Introductionmentioning

confidence: 99%

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

Liu,

Ma,

Song

et al. 2023

Fire

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The new situations, problems, and challenges facing urban fire safety work are gradually increasing in China, so innovating urban fire safety governance modes is an urgent task. In the fire management practice of the Chinese government, the establishment of an urban fire safety co-management system is an important measure for aggregating fire safety management resources and improving the level of urban fire safety prevention, as well as control. In order to reveal and clarify the interacting relationships and influencing mechanisms among multiple subjects in an urban fire safety co-management system, we constructed an urban fire safety co-management game model comprising fire supervision departments, production management units, and the public based on evolutionary game theory. The stability of the urban fire safety co-management game system is explored from the perspective of game subjects. The influencing factors of strategy selection between game subjects in the game system were investigated using numerical simulation analysis. The research results show that elevating the informatization level of co-management, the risk perception level of the public, and the disclosure level of fire safety information are conducive to stimulating the public’s positivity to participate in co-management. Strengthening the accountability of the superior government is conducive to ensuring the supervision level of fire supervision departments. The above measures have positive value for optimizing China’s urban fire safety co-management systems, establishing urban fire safety management synergy, and ensuring the stability of social fire safety situations.

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Using evolutionary game theory to study construction safety supervisory mechanism in China

Cited by 16 publications

References 58 publications

Optimization of construction safety resource allocation based on evolutionary game and genetic algorithm

Optimization of construction safety resource allocation based on evolutionary game and genetic algorithm

Evolutionary Game Analysis on Safety Supervision for Coal Mine Considering Speculative Behavior

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

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