Spatial-temporal analysis of safety risks in trajectories of construction workers based on complex network theory |
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| Affiliation: | 1. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;2. Department of the Built Environment, College of Design and Engineering, National University of Singapore, 4 Architecture Dr, Singapore 117566, Singapore;1. School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China;2. Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China;1. Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea;2. Mobility UX Research Section, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea.;1. Academy of Arts & Design, Tsinghua University, Beijing 100085, China;2. School of Politics and Law, Zhejiang Sci-tech University, Hangzhou 310018, China;3. Design Department, Politecnico di Milano, Milan 20158, Italy;1. Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;2. Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China;3. School of Engineering, Design and Built Environment, Western Sydney University, Australia;1. Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, Universitat Politècnica de València, Valencia, Spain;2. Dpto. de Ingeniería Mecánica y Construcción, Universitat Jaume I, Castellón, Spain;3. School of Engineering Technology, Purdue University, West Lafayette, IN, USA;1. School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, PR China;2. Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy |
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| Abstract: | Understanding the traffic patterns of construction workers on high-risk construction sites is important for implementing behaviour-based safety management. However, safety risks in worker trajectories are a complex system with high uncertainty. This resulted in few studies focusing on analysing the spatial–temporal risk in workers' trajectories from a systematic perspective. This study designs a new framework to explore the spatial–temporal patterns of safety risks in the trajectories of construction workers based on complex network theory. First, an integrated site safety risk classification method by combining hazard sources and group trajectory distribution is developed to accurately describe the spatial distribution of site risks. Second, a new complex network chronnet is used to construct complex networks containing risk information for spatial–temporal analysis. Finally, key risk areas and risk transition patterns are identified through the analysis of network measures. The study also developed a computational program that allows the network to be constructed and analysed in real-time. The feasibility and effectiveness of the method are verified through a case study. The results show that the method can reveal the risk distribution at the micro level, and explore the risk clustering and transition features in worker trajectories at the macro level. The study allows for an accurate analysis of dynamic risk patterns in construction workers' trajectories from a systematic perspective. It can also provide theoretical and practical support for personalized and adaptive behaviour-based safety management for construction workers. |
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| Keywords: | Construction worker Movement trajectory Safety risk Spatial–temporal pattern Complex network |
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