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KSCE Journal of Civil Engineering

, Volume 23, Issue 5, pp 1923–1938 | Cite as

A System Dynamics Model of Prevention through Design towards Eliminating Human Error

  • Xinlu Sun
  • Heap-Yih Chong
  • Pin-Chao LiaoEmail author
  • Dongping Fang
  • Yanqing Wang
Construction Management
  • 118 Downloads

Abstract

Theoretically, prevention through design (PtD) is the most effective approach for eliminating human error in the field of construction. However, there is a lack of rigorous empirical analysis regarding the focal point of PtD. Hence, this research aims to develop a system dynamics model that depicts a mechanism for identifying the focal point of PtD and relevant design factors with respect to human error. Elevator installation serves as the scope of the model, and three sub-models of “cognition-behavior,” “environment-cognition,” and “design-environment” are developed. Their quantitative relationships are analyzed based on empirical data prior to the development of the system dynamics model. Subsequently, safety performance is simulated based on an eight-hour work day, and sensitivity analyses are conducted to determine the impact of each design factor on human error. This study provides insights into PtD using various design factors that can be generalized and used to develop safer designs under complex working environments.

Keywords

human error prevention through design system dynamics model unsafe behavior 

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References

  1. Ajzen, I. (1991). “The theory of planned behavior.” Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp. 179–211, DOI: 10.1016/0749-5978(91)90020-T.CrossRefGoogle Scholar
  2. Al-Swidi, A., Mohammed Rafiul Huque, S., Haroon Hafeez, M., and Noor Mohd Shariff, M. (2014). “The role of subjective norms in theory of planned behavior in the context of organic food consumption.” British Food Journal, Vol. 116, No. 10, pp. 1561–1580, DOI: 10.1108/BFJ-05-2013-0105.CrossRefGoogle Scholar
  3. Behm, M. (2005). “Linking construction fatalities to the design for construction safety concept.” Safety Science, Vol. 43, No. 8, pp. 589–611, DOI: 10.1016/j.ssci.2005.04.002.CrossRefGoogle Scholar
  4. Bugaris, R. M. (2016). “Applying prevention through design to voltage testing.” Proc., IEEE IAS Electrical Safety Workshop, IEEE, New York, NY, USA, pp. 27–36.Google Scholar
  5. Choudhry, R. M. and Fang, D. (2008). “Why operatives engage in unsafe work behavior: Investigating factors on construction sites.” Safety Science, Vol. 46, No. 4, pp. 566–584, DOI: 10.1016/j.ssci.2007.06.027.CrossRefGoogle Scholar
  6. Cooke, T. and Lingard, H. (2011). “A retrospective analysis of workrelated deaths in the Australian construction industry.” Proc., 27th Annual Conference of the Association of Researchers in Construction Management, Association of Researchers in Construction Management, Reading, Bristol, UK, pp. 279–288.Google Scholar
  7. Davcik, N. S. (2014). “The use and misuse of structural equation modeling in management research,” Journal of Advances in Management Research, Vol. 11, pp. 47–81, DOI: 10.1108/JAMR-07-2013-0043.CrossRefGoogle Scholar
  8. Dong, X. S., Largay, J. A., Choi, S. D., Wang, X., Cain, C. T., and Romano, N. (2017). “Fatal falls and PFAS use in the construction industry: Findings from the NIOSH FACE reports.” Accident Analysis & Prevention, Vol. 102, pp. 136–143, DOI: 10.1016/j.aap.2017.02.028.CrossRefGoogle Scholar
  9. El-Rayes, K. and Khalafallah, A. (2005). “Trade-off between safety and cost in planning construction site layouts.” Journal of Construction Engineering & Managemen, Vol. 131, No. 11, pp. 1186–1195, DOI: 10.1061/(ASCE)0733-9364(2005)131:11(1186).CrossRefGoogle Scholar
  10. European Foundation for the Improvement of Living and Working Conditions (1991). From drawing board to building site: Working conditions, quality, economic performance, HMSO, London, UK.Google Scholar
  11. Evanoff, B., Dale, A. M., Zeringue, A., Fuchs, M., Gaal, J., Lipscomb, H. J., Kaskutas, V. (2016). “Results of a fall prevention educational intervention for residential construction.” Safety Science, Vol. 89, pp. 301–307, DOI: 10.1016/j.ssci.2016.06.019.CrossRefGoogle Scholar
  12. Fang, D., Jiang, Z., Zhang, M., and Wang, H. (2015). “An experimental method to study the effect of fatigue on construction workers' safety performance.” Safety Science, Vol. 73, pp. 80–91, DOI: 10.1016/j.ssci.2014.11.019.CrossRefGoogle Scholar
  13. Forrester, J. W. (1961). Industry dynamics, MIT Press, Cambridge, England.Google Scholar
  14. Galy, B. and Lan, A. (2018). “Horizontal lifelines-review of regulations and simple design method considering anchorage rigidity.” International Journal of Occupational Safety and Ergonomics, Vol. 24, No. 1, pp. 135–148, DOI: 10.1080/10803548.2017.1300444.CrossRefGoogle Scholar
  15. Gambatese, J. A., Behm, M., and Hinze, J. W. (2005). “Viability of designing for construction worker safety.” Journal of Construction Engineering & Management, Vol. 131, No. 9, pp. 1029–1036, DOI: 10.1061/(ASCE)0733-9364(2005)131:9(1029).CrossRefGoogle Scholar
  16. Gambatese, J. A., Michael Toole, T., and Abowitz, D. A. (2017). “Owner perceptions of barriers to prevention through design diffusion.” Journal of Construction Engineering & Management, Vol. 143, No. 7, pp. 4017016, DOI: 10.1061/(ASCE)CO.1943-7862.0001296.CrossRefGoogle Scholar
  17. Gibb, A., Haslam, R., Hide, S., and Gyi, D. (2004). “The role of design in accident causality.” Proc., Research and Practice Symp., University of Oregon Press, Eugene, Oregon, USA, pp. 11–21.Google Scholar
  18. Goh, Y. M. and Chua, S. (2016). “Knowledge, attitude and practices for design for safety: A study on civil & structural engineers.” Accident Analysis & Prevention, Vol. 93, pp. 260–266, DOI: 10.1016/j.aap. 2015.09.023.CrossRefGoogle Scholar
  19. Goh, Y. M., Love, P. E., Brown, H., and Spickett, J. (2012). “Organizational accidents: A systemic model of production versus protection.” Journal of Management Studies, Vol. 49, No. 1, pp. 52–76, DOI: 10.1111/j.1467-6486.2010.00959.x.CrossRefGoogle Scholar
  20. Goh, Y. M., Love, P. E., Stagbouer, G., and Annesley, C. (2012). “Dynamics of safety performance and culture: A group model building approach.” Accident Analysis & Prevention, Vol. 48, pp. 118–125, DOI: 10.1016/j.aap.2011.05.010.Google Scholar
  21. Hair Jr, J. F., Sarstedt, M., Hopkins, L., and Kuppelwieser, V. G. (2014). “Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers.” European Business Review, Vol. 26, pp. 106–121, DOI: 10.1016/j.jfbs.2014.01.002.CrossRefGoogle Scholar
  22. Hallowell, M. R. and Hansen, D. (2016). “Measuring and improving designer hazard recognition skill: Critical competency to enable prevention through design.” Safety Science, Vol. 82, pp. 254–263, DOI: 10.1016/j.ssci.2015.09.005.CrossRefGoogle Scholar
  23. Haslam, R. A., Hide, S. A., Gibb, A. G., Gyi, D. E., Atkinson, S., Pavitt, T. C., Duff, R., and Suraji, A. (2003). Causal factors in construction accidents. Health and Safety Executive, Bootle, UK.Google Scholar
  24. Haslam, R. A., Hide, S. A., Gibb, A. G., Gyi, D. E., Pavitt, T., Atkinson, S., and Duff, A. R. (2005). “Contributing factors in construction accidents.” Applied Ergonomics, Vol. 36, No. 4, pp. 401–415, DOI: 10.1016/j.apergo.2004.12.002.CrossRefGoogle Scholar
  25. Hazen, B. T., Overstreet, R. E., and Boone, C. A. (2015). “Suggested reporting guidelines for structural equation modeling in supply chain management research,” The International Journal of Logistics Management, Vol. 26, pp. 627–641.CrossRefGoogle Scholar
  26. He, X., Wang, Y., Shen, Z., and Huang, X. (2008). “A simplified CREAM prospective quantification process and its application.” Reliability Engineering & System Safety, Vol. 93, No. 2, pp. 298–306, DOI: 10.1016/j.ress.2006.10.026.CrossRefGoogle Scholar
  27. Hollnagel, E. (1996). “Reliability analysis and operator modelling.” Reliability Engineering & System Safety, Vol. 52, No. 3, pp. 327–337, DOI: 10.1016/0951-8320(95)00143-3.CrossRefGoogle Scholar
  28. Hollnagel, E. (1998). Cognitive reliability and error analysis method (CREAM), Elsevier, Kidlington, Oxford, England.Google Scholar
  29. Hu, C. and Yang, Y. (2007). “A case study on fire evacuation by elevator in highrise building.” Journal of Natural Disasters, Vol. 16, No. 4, pp. 97.Google Scholar
  30. Jiang, Z., Fang, D., and Zhang, M. (2015). “Understanding the causation of construction workers' unsafe behaviors based on system dynamics modeling.” Journal of Management in Engineering, Vol. 31, No. 6, pp. 4014099, DOI: 10.1061/(ASCE)ME.1943-5479.0000350.CrossRefGoogle Scholar
  31. Liao, P., Luo, X., Wang, T., and Su, Y. (2016). “The Mechanism of how design failures cause unsafe behavior: The cognitive reliability and error analysis method (CREAM).” Procedia Engineering, Vol. 145, pp. 715–722, DOI: 10.1016/j.proeng.2016.04.088.CrossRefGoogle Scholar
  32. Liu, X. (2013). Simulation and modeling research of cognitive task analysis on routing inspection procedure, MSc Thesis, Jilin University, Changchun, China.Google Scholar
  33. Lopez, R., Love, P. E., Edwards, D. J., and Davis, P. R. (2010). “Design error classification, causation, and prevention in construction engineering.” Journal of Performance of Constructed Facilities, Vol. 24, No. 4, pp. 399–408, DOI: 10.1061/(ASCE)CF.1943-5509.0000116.CrossRefGoogle Scholar
  34. Lyon, B. K., Popov, G., and Biddle, E. (2016). “Prevention through design: For hazards in construction.” Professional Safety, Vol. 61, No. 09, pp. 37–44.Google Scholar
  35. Marseguerra, M., Zio, E., and Librizzi, M. (2006). “Quantitative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance.” Annals of Nuclear Energy, Vol. 33, No. 10, pp. 894–910, DOI: 10.1016/j.anucene.2006.05.003.CrossRefGoogle Scholar
  36. Pierce, B. (2016). “How rare are large, multiple-fatality work-related incidents?” Accident Analysis & Prevention, Vol. 96, pp. 88–100, DOI: 10.1016/j.aap.2016.07.014.CrossRefGoogle Scholar
  37. Povey, R., Conner, M., Sparks, P., James, R., and Shepherd, R. (2000). “The theory of planned behaviour and healthy eating: Examining additive and moderating effects of social influence variables.” Psychology & Health, Vol. 14, No. 6, pp. 991–1006, DOI: 10.1080/08870440008407363.CrossRefGoogle Scholar
  38. Qi, J., Issa, R. R., Olbina, S., and Hinze, J. (2013). “Use of building information modeling in design to prevent construction worker falls.” Journal of Computing in Civil Engineering, Vol. 28, No. 5, pp. A4014008, DOI: 10.1061/(ASCE)CP.1943-5487.0000365.Google Scholar
  39. Rasmussen, J. (1997). “Risk management in a dynamic society: A modelling problem.” Safety Science, Vol. 27, Nos. 2–3, pp. 183–213, DOI: 10.1016/S0925-7535(97)00052-0.CrossRefGoogle Scholar
  40. Reason, J. (1990). Human error, Cambridge University Press, Cambridge, UK.CrossRefGoogle Scholar
  41. Rodrigues, A. and Bowers, J. (1996). “The role of system dynamics in project management.” International Journal of Project Management, Vol. 14, No. 4, pp. 213–220, DOI: 10.1016/0263-7863(95)00075-5.CrossRefGoogle Scholar
  42. Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., and King, J. (2006). “Reporting structural equation modeling and confirmatory factor analysis results: A review.” The Journal of Educational Research, Vol. 99, pp. 323–338.CrossRefGoogle Scholar
  43. Seo, D. (2005). “An explicative model of unsafe work behavior.” Safety Science, Vol. 43, No. 3, pp. 187–211, DOI: 10.1016/j.ssci.2005.05.001.MathSciNetCrossRefGoogle Scholar
  44. Suraji, A., Duff, A. R., and Peckitt, S. J. (2001). “Development of causal model of construction accident causation.” Journal of Construction Engineering & Management, Vol. 127, No. 4, pp. 337–344, DOI: 10.1061/(ASCE)0733-9364(2001)127:4(337).CrossRefGoogle Scholar
  45. Talat Birgonul, M., Dikmen, I., Budayan, C., and Demirel, T. (2016). “An expert system for the quantification of fault rates in construction fall accidents.” International Journal of Occupational Safety and Ergonomics, Vol. 22, No. 1, pp. 20–31, DOI: 10.1080/10803548. 2015.1123516.CrossRefGoogle Scholar
  46. Tang, P., Zhang, C., Yilmaz, A., Cooke, N., Boring, R. L., Chasey, A., Vaughn, T., Jones, S., Gupta, A., and Buchanan, V. (2016). “Automatic imagery data analysis for diagnosing human factors in the outage of a nuclear plant.” Proceedings of 7th International Conference on Digital Human Modeling, Springer, Berlin, pp. 604–615.Google Scholar
  47. Teo, T. and Beng Lee, C. (2010). “Explaining the intention to use technology among student teachers: An application of the theory of planned behavior (TPB).” Campus-Wide Information Systems, Vol. 27, No. 2, pp. 60–67, DOI: 10.1108/10650741011033035.CrossRefGoogle Scholar
  48. Tixier, A. J., Hallowell, M. R., Rajagopalan, B., and Bowman, D. (2017). “Construction safety clash detection: Identifying safety incompatibilities among fundamental attributes using data mining.” Automation in Construction, Vol. 74, pp. 39–54, DOI: 10.1016/j.autcon.2016.11.001.CrossRefGoogle Scholar
  49. Toole, T. M., Gambatese, J. A., and Abowitz, D. A. (2016). “Owners' role in facilitating prevention through design.” Journal of Professional Issues in Engineering Education and Practice, Vol. 143, No. 1, pp. 4016012, DOI: 10.1061/(ASCE)EI.1943-5541.0000295.CrossRefGoogle Scholar
  50. Wang, Y., Chong, H., Liao, P., and Ren, H. (2017). “Interactive mechanism of working environments and construction behaviors with cognitive work analysis: An elevator installation case study.” International Journal of Occupational Safety and Ergonomics, pp. 1–15, DOI: 10.1080/10803548.2017.1371408.Google Scholar
  51. Weidman, J. E., Dickerson, D. E., and Koebel, C. T. (2016). “Technology champions: A theory-based intervention to improve adoption of occupational safety innovations.” International Journal of Construction Education and Research, Vol. 12, No. 3, pp. 193–207, DOI: 10.1080/15578771.2015.1118417.CrossRefGoogle Scholar
  52. Wong, L., Wang, Y., Law, T., and Lo, C. T. (2016). “Association of root causes in fatal fall-from-height construction accidents in Hong Kong.” Journal of Construction Engineering & Management, Vol. 142, No. 7, pp. 4016018, DOI: 10.1061/(ASCE)CO.1943-7862.0001098.CrossRefGoogle Scholar
  53. Xiong, B., M. Skitmore, and B. Xia, (2015, “A critical review of structural equation modeling applications in construction research,” Automation in Construction, Vol. 49, pp. 59–70, DOI: 10.1016/j.autcon.2014. 09.006.CrossRefGoogle Scholar
  54. Zeng, Y. (2004). “Environment-based formulation of design problem.” Journal of Integrated Design and Process Science, Vol. 8, No. 4, pp. 45–63, China.Google Scholar
  55. Zhang, M. (2012). Cognitive mechanism of construction worker's unsafe behaviors and its application, PhD Thesis, Tsinghua University, Beijing, China.Google Scholar
  56. Zhang, M. and Fang, D. (2013). “A cognitive analysis of why Chinese scaffolders do not use safety harnesses in construction.” Construction Management and Economics, Vol. 31, No. 3, pp. 207–222, DOI: 10.1080/01446193.2013.764000.MathSciNetCrossRefGoogle Scholar
  57. Zhang, S., Sulankivi, K., Kiviniemi, M., Romo, I., Eastman, C. M., and Teizer, J. (2015). “BIM-based fall hazard identification and prevention in construction safety planning.” Safety Science, Vol. 72, pp. 31–45, DOI: 10.1016/j.ssci.2014.08.001.Google Scholar
  58. Zhou, H., Romero, S. B., and Qin, X. (2016). “An extension of the theory of planned behavior to predict pedestrians' violating crossing behavior using structural equation modeling.” Accident Analysis & Prevention, Vol. 95, pp. 417–424, DOI: 10.1016/j.aap.2015.09.009.Google Scholar
  59. Zhou, Q., Wong, Y. D., Loh, H. S., and Yuen, K. F. (2018). “A fuzzy and Bayesian network CREAM model for human reliability analysis- The case of tanker shipping.” Safety Science, Vol. 105, pp. 149–157, DOI: 10.1016/j.ssci.2018.02.011.Google Scholar

Copyright information

© Korean Society of Civil Engineers 2019

Authors and Affiliations

  • Xinlu Sun
    • 1
  • Heap-Yih Chong
    • 2
  • Pin-Chao Liao
    • 1
    Email author
  • Dongping Fang
    • 1
  • Yanqing Wang
    • 1
  1. 1.Dept. of Construction ManagementTsinghua UniversityBeijingChina
  2. 2.School of Built EnvironmentCurtin UniversityPerthAustralia

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