Exploring the risk transmission characteristics among unsafe behaviors within urban railway construction accidents

    Bing Tang Affiliation
    ; Shengyu Guo   Affiliation
    ; Jichao Li Affiliation
    ; Wei Lu Affiliation


Various construction accidents are proven to be caused by multiple unsafe behaviors (e.g., wrong use of PPE), but the risk transmission among different behaviors remains unclear. This paper provides insight into risk transmission through behavioral risk chain that leads to accidents from a system safety perspective. To better understand the coupling mechanism of various unsafe behaviors, integrate different behavioral risk chains and present the risk transmission process, a directed-weighted complex network (DWCN) method was adopted. Historical urban railway construction accidents in China are investigated to extract behavioral risk chain. A DW-BRCNA is applied to integrated behavioral risk chain and the behavioral risk transmission characteristics are explored and clarified by the five network properties, including degree and degree distribution, node strength and node strength distribution, average path length and diameter, weighted clustering coefficient and betweenness centrality. The results show that DW-BRCNA has the characteristics of a small-world, scale-free and hierarchical network, indicating that some unsafe behaviors are of greater importance in the process of risk transmission through behavioral risk chains. In addition, risk transmission in critical behavioral risk chains is more potentially to lead to accidents. This study proposed a new perspective of accident causation analysis from risk transmission among unsafe behaviors. It explains the risk transmission characteristics by a DWCN method based on behavioral risk chains. The findings also provide a practical guidance for developing control strategies on sites to prevent risk transmission and reduce accidents.

Keyword : unsafe behavior, behavioral risk chain, complex network, accident prevention, urban railway construction

How to Cite
Tang, B., Guo, S., Li, J., & Lu, W. (2022). Exploring the risk transmission characteristics among unsafe behaviors within urban railway construction accidents. Journal of Civil Engineering and Management, 28(6), 443–456.
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Jun 6, 2022
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This work is licensed under a Creative Commons Attribution 4.0 International License.


Akgul, B. K., Ozorhon, B., Dikmen, I., & Birgonul, M. T. (2017). Social network analysis of construction companies operating in international markets: case of Turkish contractors. Journal of Civil Engineering and Management, 23(3), 327–337.

Amponsah-Tawiah, K., & Mensah, J. (2016). The impact of safety climate on safety related driving behaviors. Transportation Research Part F: Traffic Psychology and Behaviour, 40, 48–55.

Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509–512.

Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.

Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D.-U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424(4–5), 175–308.

Chan, A. P., Wong, F. K., Hon, C. K., Javed, A. A., & Lyu, S. (2017). Construction safety and health problems of ethnic minority workers in Hong Kong. Engineering, Construction and Architectural Management, 24(6), 901–919.

Chen, H., Zhang, L., & Ran, L. (2021). Vulnerability modeling and assessment in urban transit systems considering disaster chains: A weighted complex network approach. International Journal of Disaster Risk Reduction, 54, 102033.

Choi, B., & Lee, S. (2018). An empirically based agent-based model of the sociocognitive process of construction workers’ safety behavior. Journal of Construction Engineering and Management, 144(2), 04017102.

Choudhry, R. M., & Fang, D. (2008). Why operatives engage in unsafe work behavior: Investigating factors on construction sites. Safety Science, 46(4), 566–584.

Ding, L., & Xu, J. (2017). A review of metro construction in China: Organization, market, cost, safety and schedule. Frontiers of Engineering Management, 4(1), 4–19.

Dong, H., & Cui, L. (2015). System reliability under cascading failure models. IEEE Transactions on Reliability, 65(2), 929–940.

Dui, H., Meng, X., Xiao, H., & Guo, J. (2020). Analysis of the cascading failure for scale-free networks based on a multi-strategy evolutionary game. Reliability Engineering & System Safety, 199, 106919.

Eshtehardian, E., & Khodaverdi, S. (2016). A multiply connected belief network approach for schedule risk analysis of metropolitan construction projects. Civil Engineering and Environmental Systems, 33(3), 227–246.

Fang, W., Ding, L., Love, P. E., Luo, H., Li, H., Pena-Mora, F., Zhong, B., & Zhou, C. (2020). Computer vision applications in construction safety assurance. Automation in Construction, 110, 103013.

Fogg, B. J., & Eckles, D. (2007). The behavior chain for online participation: How successful web services structure persuasion. In Y. de Kort, W. IJsselsteijn, C. Midden, B. Eggen, & B. J. Fogg (Eds.), Lecture notes in computer science: Vol. 4744. Persuasive technology (PERSUASIVE 2007). Springer.

Guo, S., Tang, B., Liang, K., Zhou, X., & Li, J. (2021). Comparative analysis of the patterns of unsafe behaviors in accidents between building construction and urban railway construction. Journal of Construction Engineering and Management, 147(5), 04021027.

Guo, S., Xiong, C., & Gong, P. (2018). A real-time control approach based on intelligent video surveillance for violations by construction workers. Journal of Civil Engineering and Management, 24(1), 67–78.

Guo, S., Zhou, X., Tang, B., & Gong, P. (2020). Exploring the behavioral risk chains of accidents using complex network theory in the construction industry. Physica A: Statistical Mechanics and Its Applications, 560, 125012.

Health and Safety Executive. (2021). Work-related fatal injuries in Great Britain. Great Britain.

Heinrich, H. W., Petersen, D., & Roos, N. (1950). Industrial accident prevention. McGraw-Hill.

Jitwasinkul, B., & Hadikusumo, B. H. (2011). Identification of important organisational factors influencing safety work behaviours in construction projects. Journal of Civil Engineering and Management, 17(4), 520–528.

Kim, N. K., Rahim, N. F. A., Iranmanesh, M., & Foroughi, B. (2019). The role of the safety climate in the successful implementation of safety management systems. Safety Science, 118, 48–56.

Levitin, G., Xing, L., & Luo, L. (2019). Influence of failure propagation on mission abort policy in heterogeneous warm standby systems. Reliability Engineering & System Safety, 183, 29–38.

Li, C. Z., Hong, J., Xue, F., Shen, G. Q., Xu, X., & Mok, M. K. (2016). Schedule risks in prefabrication housing production in Hong Kong: a social network analysis. Journal of Cleaner Production, 134, 482–494.

Liu, J., Schmid, F., Zheng, W., & Zhu, J. (2019). Understanding railway operational accidents using network theory. Reliability Engineering & System Safety, 189, 218–231.

Lu, X., & Davis, S. (2016). How sounds influence user safety decisions in a virtual construction simulator. Safety Science, 86, 184–194.

Ministry of Emergency Management of the People’s Republic of China (2018, July 25). The situation of safety production in the construction industry. China.

Ministry of Housing and Urban-Rural Development of the People Republic of China. (2016). Technical code for safety of working at height of building construction (No. JGJ 80-2016). Chinese Building & Construction Industry Standard.

Mohammadfam, I., Ghasemi, F., Kalatpour, O., & Moghimbeigi, A. (2017). Constructing a bayesian network model for improving safety behavior of employees at workplaces. Applied Ergonomics, 58, 35–47.

National Standards Bureau. (1986). The classification for casualty accidents of enterprise staff and workers (No. GB 6441-1986). Chinese standard.

National Standards Bureau. (2010). Code for construction and acceptance of crane installation engineering (No. GB 50278-2010). Chinese standard.

National Standards Bureau. (2011). Quality and safety check points of urban rail transit engineering (In Chinese).

Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251.

Pagani, G. A., & Aiello, M. (2013). The power grid as a complex network: a survey. Physica A: Statistical Mechanics and Its Applications, 392(11), 2688–2700.

Ravasz, E., & Barabási, A.-L. (2003). Hierarchical organization in complex networks. Physical Review E, 67(2), 026112.

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 52(3), 1059–1069.

Shuang, D., Heng, L., Skitmore, M., & Qin, Y. (2019). An experimental study of intrusion behaviors on construction sites: The role of age and gender. Safety Science, 115, 425–434.

Singh, M. (2020). Underground metro construction, development in India. In P. Ghosh (Ed.), The mind of an engineer: Vol. 2 (pp. 273–277). Springer.

Stewart, J. M. (2001). The turnaround in safety at the Kenora pulp & paper mill. Professional Safety, 46(12), 34–44.

Tang, Y., Wang, G., Li, H., & Cao, D. (2018). Dynamics of collaborative networks between contractors and subcontractors in the construction industry: evidence from national quality award projects in China. Journal of Construction Engineering and Management, 144(9), 05018009.

Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: An Iranian case study. Journal of Civil Engineering and Management, 23(4), 524–532.

Wang, J., Mo, H., Wang, F., & Jin, F. (2011). Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach. Journal of Transport Geography, 19(4), 712–721.

Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442.

Winge, S., & Albrechtsen, E. (2018). Accident types and barrier failures in the construction industry. Safety Science, 105, 158–166.

Wu, X., Li, Y., Yao, Y., Luo, X., He, X., & Yin, W. (2018). Development of construction workers job stress scale to study and the relationship between job stress and safety behavior: An empirical study in Beijing. International Journal of Environmental Research and Public Health, 15(11), 2409.

Xing, L., & Levitin, G. (2010). Combinatorial analysis of systems with competing failures subject to failure isolation and propagation effects. Reliability Engineering & System Safety, 95(11), 1210–1215.

Yang, R. J., & Zou, P. X. (2014). Stakeholder-associated risks and their interactions in complex green building projects: A social network model. Building and Environment, 73, 208–222.

Yin, R. K. (2017). Case study research and applications: Design and methods (6th ed). Sage Publications.

Yin, W., Fu, G., Yang, C., Jiang, Z., Zhu, K., & Gao, Y. (2017). Fatal gas explosion accidents on Chinese coal mines and the characteristics of unsafe behaviors: 2000–2014. Safety Science, 92, 173–179.

Yu, Q., Ding, L., Zhou, C., & Luo, H. (2014). Analysis of factors influencing safety management for metro construction in China. Accident Analysis & Prevention, 68, 131–138.

Yuan, H., He, Y., & Wu, Y. (2019). A comparative study on urban underground space planning system between China and Japan. Sustainable Cities and Society, 48, 101541.

Zhou, C., Ding, L., Skibniewski, M. J., Luo, H., & Jiang, S. (2017). Characterizing time series of near-miss accidents in metro construction via complex network t heory. Safety Science, 98, 145–158.

Zhou, J., Xu, W., Guo, X., & Ding, J. (2015). A method for modeling and analysis of directed weighted accident causation network (DWACN). Physica A: Statistical Mechanics and its Applications, 437, 263–277.

Zhou, Z., & Irizarry, J. (2016). Integrated framework of modified accident energy release model and network theory to explore the full complexity of the Hangzhou subway construction collapse. Journal of Management in Engineering, 32(5), 05016013.

Zhou, Z., Irizarry, J., & Li, Q. (2014). Using network theory to explore the complexity of subway construction accident network (SCAN) for promoting safety management. Safety Science, 64, 127–136.