At present, with the deepening of the urbanization process,the demand for subway traffic in our country is increasing and the construction work of the subway project in progress is also growing, however the management of unsafe behavior of construction site has not kept up with the steps of development.Focusing on the unsafe behavior of the subway construction site, this paper takes a city subway construction as an example, translating the time series of the unsafe behavior of construction site into complex networks by using the visual graph approach, and the topology structure is also analyzed.The occurrence rules of unsafe acts in the city subway construction is analyzed through using the hierarchy and structure entropy as computation index.It is proved that the complex network method used to analyze the unsafe behavior is scientific.The results show that the relevant indicators of complex networks can show the variation of the original time series and the related information are well continued.The research findings can help the actual construction process to make a quantitative assessment to safe state.%目前,随着城市化进程的不断加深,我国城市对于地铁交通的需求日益增大,在建地铁工程量与日俱增,但对于施工现场不安全行为的管理明显没有跟上发展的脚步.本文着眼于地铁施工现场的不安全行为,以某市地铁施工为例,采用可视图法将施工现场统计到的不安全行为时间序列转化为复杂网络,并对其拓扑结构进行分析,采用层次性、结构熵等为计算指标,比较分析该市地铁施工中不安全行为的发生规律,证明了采用复杂网络方法对不安全行为进行分析的科学性.结果发现复杂网络的相关指标可以很好地表现出原始时间序列的变化情况,复杂网络很好地继承了时间序列的拓扑结构信息.研究结论可为实际施工过程中对现场安全状态的定量评估提供帮助.
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