Understanding the effect of co-worker support on construction safety performance from the perspective of risk theory: an agent-based modeling approach
Abstract
Co-worker safety support has been given prominence in manufacturing and transportation field for its positive effect on individual workers’ safety; however, there is little evidence to show if such supporting role of co-workers is significant in improving project-level safety performance in construction workplace. This study adopts agent-based modeling (ABM) to understand the effectiveness of two distinct co-worker-safety-support actions on the safety performance of a construction project. Based on the risk theory, the ABM model simulates a construction site where worker agents reinforce steel bars with the likelihood of suffering crane-related incidents. The results indicate that both co-worker-support actions can significantly reduce the occurrence of nonfatal incidents but shows little influence in fatal incidents, and in reducing high-severity incidents, the action of warning peers to leave the hazardous area has the same effectiveness as reminding peers to wear Personal Protective Equipment. The present study provides a fresh insight into the safety-related role of co-workers: not only reveals how the local-level effects of co-workers’ safety assistance emerge the system-level consequences, but demonstrates the effectiveness of specific peer-support actions on three levels of construction safety performance, and thereby extends our existing body of knowledge on co-worker safety support in the construction field.
Keyword : agent-based modeling, construction safety, construction management, co-worker support
How to Cite
Ji, T., Wei, H.-H., & Chen, J. (2019). Understanding the effect of co-worker support on construction safety performance from the perspective of risk theory: an agent-based modeling approach. Journal of Civil Engineering and Management, 25(2), 132-144. https://doi.org/10.3846/jcem.2019.7642
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Chen, Y., McCabe, B., & Hyatt, D. (2018). A resilience safety climate model predicting construction safety performance. Safety Science, 109, 434-445. https://doi.org/10.1016/j.ssci.2018.07.003
Cheng, E. W., Ryan, N., & Kelly, S. (2012). Exploring the perceived influence of safety management practices on project performance in the construction industry. Safety Science, 50(2), 363-369. https://doi.org/10.1016/j.ssci.2011.09.016
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DuPont, E. I. (1983). Results of ten year DuPont study. Safety Training Observation Program. Wilmington, Delaware.
Eberlen, J., Scholz, G., & Gagliolo, M. (2017). Simulate this! An introduction to agent-based models and their power to improve your research practice. International Review of Social Psychology, 30(1), 149-160. https://doi.org/10.5334/irsp.115
Epstein, J. M. 1999. Agent-based computational models and generative social science. Complexity, 4(5), 41-60. https://doi.org/10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-F
Fang, D., Chen, Y., & Wong, L. (2006). Safety climate in construction industry: A case study in Hong Kong. Journal of Construction Engineering and Management, 132(6), 573-584. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:6(573)
Farooqui, R. U., Ahmed, S. M., Panthi, K., & Azhar, S. (2009). Addressing the issue of compliance with personal protective equipment on construction worksites: A workers’ perspective. Retrieved from http://ascpro0.ascweb.org/archives/cd/2009/paper/CPRT176002009.pdf
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Geller, E. S. (1991). If only more would actively care. Journal of Applied Behavior Analysis, 24, 607-612.
Gilbert, N., & Terna, P. (2000). How to build and use agent-based models in social science. Mind & Society, 1(1), 57-72. https://doi.org/10.1007/BF02512229
Goh, Y. M., & Ali, M. J. A. (2016). A hybrid simulation approach for integrating safety behavior into construction planning: An earthmoving case study. Accident Analysis & Prevention, 93, 310-318. https://doi.org/10.1016/j.aap.2015.09.01
Heinrich, H. W. (1959). Industrial accident prevention: A scientific approach (4th ed.). New York: McGraw-Hill.
Hinze, J., & Godfrey, R. (2003). An evaluation of safety performance measures for construction projects. Journal of Construction Research, 4(1), 5-15. https://doi.org/10.1142/S160994510300025X
Hinze, J., Hallowell, M., & Baud, K. (2013). Construction-safety best practices and relationships to safety performance. Journal of Construction Engineering and Management, 139(10), 04013006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000751
Ho, O. (2016). Nine in 10 construction deaths due to workers overlooking safety: Manpower Minister. Retrieved from https://www.straitstimes.com/singapore/manpower/nine-in-10-construction-deaths-due-to-workers-overlooking-safety-manpower
Hsu, S.-C., Weng, K.-W., Cui, Q., & Rand, W. (2016). Understanding the complexity of project team member selection through agent-based modeling. International Journal of Project Management, 34(1), 82-93. https://doi.org/10.1016/j.ijproman.2015.10.001
Jannadi, O. A., & Bu-Khamsin, M. S. (2002). Safety factors considered by industrial contractors in Saudi Arabia. Building and Environment, 37(5), 539-547. https://doi.org/10.1016/S0360-1323(01)00056-7
Jaselskis, E. J., Anderson, S. D., & Russell, J. S. (1996). Strategies for achieving excellence in construction safety performance. Journal of Construction Engineering and Management, 122(1), 61-70. https://doi.org/10.1061/(ASCE)0733-9364(1996)122:1(61)
Johns, G. (2006). The essential impact of context on organizational behavior. Academy of Management Review, 31(2), 386-408. https://doi.org/10.5465/amr.2006.20208687
Keller, J. J. (2018). Guide to OSHA recordable injuries and illnesses. Retrieved from https://www.jjkeller.com/learn/guide-to-OSHA-recordable-injuries-and-illnesses
Krause, T. R. (1997). The behavior-based safety process: Managing involvement for an injury-free culture (2nd ed.). New York: Van Nostrand Reinhold Company.
LD/T74.1-4-2008: The labor production standards for construction works (1 ed.). (2009). China Planning Press, Beijing.
Li, H., Lu, M., Hsu, S.-C., Gray, M., & Huang, T. (2015). Proactive behavior-based safety management for construction safety improvement. Safety Science, 75, 107-117. https://doi.org/10.1016/j.ssci.2015.01.013
Lu, M., Cheung, C. M., Li, H., & Hsu, S.-C. (2016). Understanding the relationship between safety investment and safety performance of construction projects through agent-based modeling. Accident Analysis & Prevention, 94, 8-17. https://doi.org/10.1016/j.aap.2016.05.014
Man, S. S., Chan, A. H. S., & Wong, H. M. (2017). Risk-taking behaviors of Hong Kong construction workers – A thematic study. Safety Science, 98, 25-36. https://doi.org/10.1016/j.ssci.2017.05.004
Manuele, F. A. (2005). Risk assessment and hierarchies of control. Professional Safety, 50(5), 33-39.
Marzouk, M., & Ali, H. (2013). Modeling safety considerations and space limitations in piling operations using agent based simulation. Expert Systems with Applications, 40(12), 4848-4857. https://doi.org/10.1016/j.eswa.2013.02.021
McFadden, A. (2015). The impact of co-workers on safety outcomes: Comparing models of mediation, moderation, and incremental effects (Dissertation, Clemson University).
Meliá, J. L., Mearns, K., Silva, S. A., & Lima, M. L. (2008). Safety climate responses and the perceived risk of accidents in the construction industry. Safety Science, 46(6), 949-958. https://doi.org/10.1016/j.ssci.2007.11.004
Milazzo, M. F., Spasojević-Brkić, V., & Ancione, G. (2015). Safety in crane operations: An overview on crane-related accidents. In Proceedings of the 6th International Symposium on Industrial Engineering (SIE 2015). Belgrade, Serbia.
Mohamed, S. (2002). Safety climate in construction site environments. Journal of Construction Engineering and Management, 128(5), 375-384. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:5(375)
Mueller, L., DaSilva, N., Townsend, J., & Tetrick, L. (1999). An empirical evaluation of competing safety climate measurement models. In Proceedings of the Annual Meeting of the Society for Industrial and Organizational Psychology. Atlanta, GA.
NIOSH. (2018). Hierarchy of controls. Retrieved from https://www.cdc.gov/niosh/topics/hierarchy/
OSHA. (2004). Injury & Illness Recordkeeping Forms - 300, 300A, 301.
Randles, V. (2009). PPE matters. A report on attitudes towards Personal Protective Equipment in the construction industry. Retrieved from http://solutions.3m.com/3MContentRetrievalAPI/BlobServlet?lmd=1235730447000&locale=en_GB&univid=1180609729108&fallback=true&assetType=MMM_Image&blobAttribute=ImageFile&placeId=7BC6E48B1800BAE180A88EBDDE34DE24&version=current
Rayner, K. (1975). The perceptual span and peripheral cues in reading. Cognitive Psychology, 7(1), 65-81. https://doi.org/10.1016/0010-0285(75)90005-5
Rebbitt, D. (2014). Pyramid power: A new view of the great safety pyramid. Professional Safety, 59(9), 30-34.
Reyes, A. (2014). Lost time accident. Retrieved from https://www.escservices.com/2014/08/19/lost-time-accident/
Roberts, D. S., & Geller, E. S. (1996). An “actively caring” model for occupational safety: A field test. Applied and Preventive Psychology, 4(1), 53-59. https://doi.org/10.1016/S0962-1849(05)80051-4
Rousseau, D. M., & Fried, Y. (2001). Location, location, location: Contextualizing organizational research. Journal of Organizational Behavior, 22(1), 1-13. https://doi.org/10.1002/job.78
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