城市地铁施工多处于地下空间，施工环境复杂多变，面临众多易诱发地铁安全事故发生的不安全因素，再加上企业风险监控预警机制的缺失、风险响应效率低下等原因，往往对事故发生前出现的众多轻微伤害或无伤害的事件缺乏早期主动的风险干预，使得地铁安全事故频发。现有研究表明：地铁人因事故是地铁安全事故重要事故类型之一，其发生概率超过地铁安全事故发生原因的90%。其中，施工人员不良心理状态如态度不正、动机不良等引发的人因事故频率最高，是造成施工人员不安全行为发生的重要原因。

       因此，本研究以地铁施工中安全态度对人的不安全行为影响为研究对象，结合心理学、行为科学、认知科学、安全管理学等基础理论，以2003-2020年地铁施工事故案例数据为依据，分析事故发生规律，挖掘地铁施工安全态度影响因素集，探讨因素集框架内各层次间的内在关联性，提出安全态度作用下人的不安全行为影响理论模型，并采用结构方程模型（Structural Equation Model，SEM）对所构建的安全态度影响下的人的不安全行为灾害演化模型进行实证研究；其次，基于SEM验证的安全态度对不安全行为诱发作用的显著性，构建施工人员安全态度诱发不安全行为SD（System Dynamics，SD）模型，并基于该模型对安全态度诱发作用下的人的不安全行为进行动态仿真，分析安全态度诱发作用下的不安全行为水平演化规律；最后，将本研究所构建的地铁施工中安全态度诱发作用下的不安全行为水平SEM-SD模型应用到某市地铁施工项目中，对该项目中施工人员安全态度作用下的不安全行为水平进行预测，给出相应的不安全行为水平干预策略，并对地铁施工中安全态度诱发不安全行为主动预控体系进行研究，以期实现地铁施工中安全态度诱发作用下的不安全行为全周期、全流程、全作业面、全人员、准连续的监测与靶向预控，从而优化地铁施工过程中人的不安全行为靶向预控策略。

       本研究基于理论分析并结合实际项目案例，对地铁施工中安全态度对人的不安全行为影响关系及主动干预体系进行了研究，研究结果可为进一步完善地铁安全事故风险应对机理提供理论参考依据，对提高地铁安全管控水平有一定的理论指导意义。

     Urban subway construction is mostly in underground space, construction environment is complex and changeable, facing many unsafe factors easy to induce subway safety accidents. Coupled with the lack of corporate risk monitoring and early warning mechanisms and low risk response efficiency, there is often a lack of early active risk intervention for many minor or non-injury incidents that occurred before the accident, resulting in frequent subway safety accidents. Existing research shows that subway human accident is one of the important types of subway safety accidents, and their occurrence probability exceeds 90% of the cause of subway safety accidents. Among them, the frequency of human accidents caused by the construction workers' bad mental state, such as incorrect attitude and poor motivation, is the most important reason for the unsafe behavior of the construction workers.

     Therefore, this study takes the influence of safety attitude on human unsafe behavior in subway construction. Combining basic theories such as psychology, behavioral science, cognitive science, safety management, etc. Based on the case data of subway construction accidents from 2003 to 2020, analyze the rules of accidents, excavate the set of factors affecting subway construction safety attitudes, explore the internal correlations between various levels within the framework of the factor sets, and propose unsafe behaviors of people under the influence of safety attitudes impact theory model. The research uses Structural Equation Model to conduct an empirical study on the evolution model of human unsafe behaviors and disasters under the influence of safety attitudes. Secondly, based on the significance of safety attitudes to unsafe behavior induced by SEM, System Dynamics model of construction workers' safety attitudes induced unsafe behaviors was constructed, and based on this model, the safety attitude induced people's unsafe behaviors. Dynamic simulation of safety behaviors to analyze the evolutionary law of unsafe behavior levels induced by safety attitudes. Finally, the SEM-SD model of unsafe behavior induced by safety attitudes in subway construction constructed by this research is applied to a subway construction project in a city, and the unsafe behavior level of construction workers in this project is evaluated. Based on this prediction, the corresponding unsafe behavior level intervention strategy is given, and the active pre-control system of unsafe behavior induced by safety attitude in subway construction is studied, in order to realize the full cycle of unsafe behavior induced by safety attitude in subway construction. The whole process, all work areas, and all personnel quasi-continuous monitoring and targeted pre-control, so as to optimize the targeted pre-control strategy of people's unsafe behavior during subway construction.

       Based on theoretical analysis and actual project cases, this research studies the influence of safety attitudes on people’s unsafe behavior during subway construction and the active intervention system. The research results can provide a theoretical reference for further improving the mechanism of subway safety accident risk response. It has certain theoretical guiding significance for improving the level of subway safety management and control.