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作 者:郭纯兵 阎卫东 李宇鹏 李丽红[2] GUO Chunbing;YAN Weidong;LI Yupeng;LI Lihong(School of Civil Engineering,Shenyang Jianzhu University,Shenyang Liaoning 110168,China;School of Management,Shenyang Jianzhu University,Shenyang Liaoning 110168,China)
机构地区:[1]沈阳建筑大学土木工程学院,辽宁沈阳110168 [2]沈阳建筑大学管理学院,辽宁沈阳110168
出 处:《中国安全生产科学技术》2024年第8期42-50,共9页Journal of Safety Science and Technology
基 金:国家自然科学基金项目(U23A20603)。
摘 要:为提高智慧工地安全脆弱性控制能力,保护智慧工地施工现场的生命财产安全,基于系统动力学理论,从暴露度、敏感度和适应度3个维度构建智慧工地安全脆弱性系统动力学模型。通过博弈论组合赋权法对模型中的影响因素赋值,从“施工企业资质等级”“安全培训质量”“安全措施费投入”和“研究与发展(research and development, R&D)资金投入”4个方面对智慧工地安全脆弱性控制能力进行仿真分析。研究结果表明:“R&D资金投入”和“安全培训质量”对脆弱性控制能力的影响较为显著;脆弱性控制能力与各因素的参数增加不完全呈正相关关系,要合理考虑不同因素的最优参数,形成最佳的组合方案。研究结果有助于制定合理的脆弱性管理方案,对提高智慧工地安全脆弱性控制能力具有一定的现实意义。In order to improve the control ability of safety vulnerability of smart construction sites and protect the safety of life and property on smart construction sites,based on the theory of system dynamics(SD),a SD model on the safety vulnerability of smart construction sites was constructed from three dimensions of exposure,sensitivity,and adaptability.The game theory combination weighting method was used to assign values to the influencing factors in the model,and the simulation analysis was conducted on the control ability of safety vulnerability of smart construction site from four perspectives:“qualification level of construction enterprise”,“safety training quality”,“investment in safety measures cost”and“research and development(R&D)funding investment”.The results show that both“R&D funding investment”and“safety training quality”exert significant impacts on the vulnerability control ability.Moreover,the vulnerability control ability does not exhibit a completely positive correlation with the parameter increase across various factors.Therefore,it is crucial to reasonably consider optimal parameters for different factors and formulate the optimal combination scheme.The research results contribute to the development of rational vulnerability management schemes while holding practical significance for enhancing the control ability of safety vulnerability of smart construction sites.
分 类 号:X947[环境科学与工程—安全科学] TU714[建筑科学—建筑技术科学]
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