Skip to main content
Log in

Spatial–temporal Interrelationships of Safety Risks with Dynamic Partition Analysis: A Mechanical Installation Case

  • Construction Management
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Inspection is the most critical phase of controlling and mitigating safety risks. However, current safety inspection practices are heavily experience-driven without considering generic interrelationships of safety risks. In this study, we performed a partition analysis based on risk interrelationships using inspection data with the goal of discovering distribution patterns of safety risks. Our results exhibit consistent chronological connections between risk attributes, including spatial and temporal characteristics. The mechanics of safety risk interrelationships were further investigated. In terms of the spatial aspects, ongoing unsafe conditions were observed in multiple locations. Spatial resource limitations and the interfaces at various locations were found to be key contributors to risk interrelationships. In terms of temporal aspects, a high similarity of work at different times and ongoing unsafe conditions were considered as key contributors. Practical Application: By understanding the spatial–temporal interrelationships of the risk characteristics, managers can develop improved strategies for devising inspection routes, which will thereby improve inspection efficacy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • 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.

    Article  Google Scholar 

  • Allan, N., Yin, Y., and Cantle, N. (2008). Modeling the Interconnectivity of Risks in ERM. Risk Management Symposium, Chicago.

    Google Scholar 

  • Atkinson, A. (1998). “Human error in the management of building projects.” Construction Management & Economics, Vol. 16, No. 3, pp. 339–349, DOI: 10.1080/014461998372367.

    Article  Google Scholar 

  • Carter, G. and Smith, S. D. (2006). “Safety hazard identification on construction projects.” Journal of Construction Engineering and Management, Vol. 132, No. 2, pp. 197–205, DOI: 10.1061/(ASCE) 0733-9364(2006)132:2(197).

    Article  Google Scholar 

  • Chua, D. K. H. and Goh, Y. M. (2004). “Incident causation model for improving feedback of safety knowledge.” Journal of Construction Engineering and Management-Asce. Vol. 130, No. 4, pp. 542–551. DOI: 10.1061/(ASCE)0733-9364(2004)130:4(542).

    Article  Google Scholar 

  • De Ambroggi, M. and Trucco, P. (2011). “Modelling and assessment of dependent performance shaping factors through Analytic Network Process.” Reliability Engineering & System Safety, Vol. 96, No. 7, pp. 849–860, DOI: 10.1016/j.ress.2011.03.004.

    Article  Google Scholar 

  • Duffuaa, S. O. and El-Ga’aly, A. (2015). “Impact of inspection errors on the formulation of a multi-objective optimization process targeting model under inspection sampling plan.” Computers & Industrial Engineering, Vol. 80, pp. 254–260, DOI: 10.1016/j.cie.2014.07.025.

    Article  Google Scholar 

  • Faber, M. H. (2002). “Risk-based inspection: The framework.” Structural Engineering International, Vol. 12, No. 3, pp. 186–195, DOI: 10.2749/101686602777965388.

    Google Scholar 

  • Gao, A., Cai, J., and Zan, H. (2011). “The experience summary and security risk monitor implement of deep foundation pit in metro half-blanket system.” 2011 International Conference on Multimedia Technology, IEEE, Hangzhou, China, pp. 4693–4697.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Heal, G. and Kunreuther, H. (2007). “Modeling interdependent risks.” Risk Analysis, Vol. 27, No. 3, pp. 621–634, DOI: 10.1111/j.1539-6924.2007.00904.x.

    Article  Google Scholar 

  • Heinrich, H. W., Petersen, D., and Roos, N. R. (1980). Industrial accident prevention: A safety management approach, McGraw-Hill, Tokyo.

    Google Scholar 

  • Hollnagel, E. (1998). Cognitive reliability and error analysis method (CREAM), Elsevier Science, Holland.

    Google Scholar 

  • Jing, L. and Qin, X. (2011). “Understanding the key risks in green building in China from the perspectives of life cycle and stakeholder.” Proceedings of the 16th international symposium on advancement of construction management and real estate (CRIOCM), Hong Kong Polytechnic Univ., China, pp. 416–422.

    Google Scholar 

  • Johnson, S. E. and Hall, A. (2005). “The prediction of safe lifting behavior: An application of the theory of planned behavior.” Journal of Safety Research, Vol. 36, No. 1, pp. 63–73, DOI: 10.1016/j.jsr.2004.12.004.

    Article  Google Scholar 

  • Ko, C. H. and Li, S. C. (2014). “Enhancing submittal review and construction inspection in public projects.” Automation in Construction, Vol. 44, pp. 33–46, DOI: 10.1016/j.autcon.2014.03.027.

    Article  Google Scholar 

  • Lavie, N. (2005). “Distracted and confused?: Selective attention under load.” Trends in Cognitive Sciences, Vol. 9, No. 2, pp. 75–82, DOI: 10.1016/j.tics.2004.12.004.

    Article  Google Scholar 

  • Lind, S., Nenonen, S., and Kivistö-Rahnasto, J. (2008). “Safety risk assessment in industrial maintenance.” Journal of Quality in Maintenance Engineering, Vol. 14, No. 2, pp. 205–217, DOI: 10.1108/13552510810877692.

    Article  Google Scholar 

  • Liu, A. H., Tian, Y. K., Liu, T. Z., Wang, X. R., and Liu, J. (2011). “Study on the risk management method and application of an underground mine with trackless mining system.” Safety and Environmental Engineering, Vol. 18, No. 1, pp. 71–76, DOI: 10.3969/j.issn.1671-1556.2011.01.018.

    Google Scholar 

  • Marlow, D. R., Beale, D. J., and Mashford, J. S. (2012). “Risk-based prioritization and its application to inspection of valves in the water sector.” Reliability Engineering & System Safety, Vol. 100, pp. 67–74, DOI: 10.1016/j.ress.2011.12.014.

    Article  Google Scholar 

  • Melzner, J., Zhang, S., Teizer, J., and Bargstädt, H. J. (2013). “A case study on automated safety compliance checking to assist fall protection design and planning in building information models.” Construction Management and Economics, Vol. 31, No. 6, pp. 661–674, DOI: 10.1080/01446193.2013.780662.

    Article  Google Scholar 

  • Murphy, K. S., DiPietro, R. B., Kock, G., and Lee, J. S. (2011). “Does mandatory food safety training and certification for restaurant employees improve inspection outcomes?.” International Journal of Hospitality Management, Vol. 30, No. 1, pp. 150–156, DOI: 10.1016/j. ijhm.2010.04.007.

    Article  Google Scholar 

  • Pham, M. T., Jones, A. Q., Sargeant, J. M., Marshall, B. J., and Dewey, C. E. (2010). “A qualitative exploration of the perceptions and information needs of public health inspectors responsible for food safety.” BMC Public Health, Vol. 10, No. 14, pp. 345–354, DOI: 10.1186/1471-2458-10-345.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Saha, S. K., Greville, C., and Mullins, T. (2012) “Simulation Experiment: The effects of experience and interruption in predicting error rate for a construction inspection task.” International Congress on Modelling and Simulation Proceedings, The University of Waikato, New Zealand, pp. 6–9.

    Google Scholar 

  • Sawacha, E., Naoum, S., and Fong, D. (1999). “Factors affecting safety performance on construction sites.” International Journal of Project Management, Vol. 17, No. 5, pp. 309–315, DOI: 10.1016/S0263-7863(98)00042-8.

    Article  Google Scholar 

  • Sheridan, M. F. and Macías, J. (1995). “Estimation of risk probability for gravity-driven pyroclastic flows at Volcan Colima, Mexico.” Journal of Volcanology and Geothermal Research, Vol. 66, No. 1, pp. 251–256, DOI: 10.1016/0377-0273(94)00058-O.

    Article  Google Scholar 

  • Shi, Y. G., Fu, Z. Q., and Zheng, M. (2009). “Application of LEC evaluation method on non-coal mine safety evaluation.” Gold, Vol. 30, No. 9, pp. 33–36, DOI: 10.3969/j.issn.1001-1277.2009.09.008.

    Google Scholar 

  • Soszynska, J. (2006). “Reliability and risk analysis of piping oil transportation system related to its operation process.” Proceedings of the International Conference ESREL, Taylor & Francis Group, London, Vol. 6, pp. 2525–2532.

    Google Scholar 

  • Straub, D. (2004). Generic approaches to risk based inspection planning for steel structures. vdf Hochschulverlag AG, Zürich.

    Google Scholar 

  • Suraji, A., Duff, A. R., and Peckitt, S. J. (2001). “Development of causal model of construction accident causation.” Journal of Construction Engineering and Management, Vol. 127, No. 4, pp. 337–344, DOI: 10.1061/(ASCE)0733-9364(2001)127:4(337).

    Article  Google Scholar 

  • Wakchaure, S. S. and Jha, K. N. (2012). “Review of inspection practices, health indices, and condition states for concrete bridges.” Indian Concrete Journal, Vol. 86, No. 3, pp. 13–26.

    Google Scholar 

  • Wang, C. H. (2007). “Economic off-line quality control strategy with two types of inspection errors.” European Journal of Operational Research, Vol. 179, No. 1, pp. 132–147, DOI: 10.1016/j.ejor.2006.03.024.

    Article  MathSciNet  MATH  Google Scholar 

  • Woodcock, K. (2014). “Model of safety inspection.” Safety Science, Vol. 62, pp. 145–156, DOI: 10.1016/j.ssci.2013.08.021.

    Article  Google Scholar 

  • Yang, R. J. and Zou, P. X. (2014). “Stakeholder-associated risks and their interactions in complex green building projects: A social network model.” Building and Environment, Vol. 73, pp. 208–222, DOI: 10.1016/j.buildenv.2013.12.014.

    Article  Google Scholar 

  • Nowakowski, T., Mlynczak, M., Jodejkopietruczuk, A., and Werbinskawojciechowska, S. (2014). Safety and reliability: Methodology and application. Crc Press, Taylor & Francis Group, Boca Raton, USA.

    Book  Google Scholar 

  • Zhang, L., Wu, X., Skibniewski, M. J., Zhong, J., and Lu, Y. (2014). “Bayesian-network-based safety risk analysis in construction projects.” Reliability Engineering & System Safety, Vol. 131, pp. 29–39, DOI: 10.1016/j.ress.2014.06.006.

    Article  Google Scholar 

  • Zhang, H. and Chi, S. (2013). “Real-time information support for strategic safety inspection on construction site.” Proceedings of the 30th ISARC, Canadian Institute of Mining, Metallurgy and Petroleum, Canadian, pp. 506–513.

    Google Scholar 

  • Zhang, M. (2012). Cognitive mechanism of construction worker’s unsafe behaviors and its application, Unpublished doctoral dissertation, Tsinghua Univ., Beijing.

    Google Scholar 

  • Zheng, D. F. and tang, B. (2010). “Risk analysis of gas transmission station operation based on LEC method.” Shanxi Coal, Vol. 30, No. 10, pp. 41–44, DOI: 10.3969/j.issn.1672-5050(2010)10-0041-04.

    Google Scholar 

  • Zou, P. X., Zhang, G., and Wang, J. (2007). “Understanding the key risks in construction projects in China.” International Journal of Project Management, Vol. 25, No. 6, pp. 601–614, DOI: 10.1016/j.ijproman. 2007.03.001.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chung-Han Tsai.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liao, PC., Guo, Z., Tsai, CH. et al. Spatial–temporal Interrelationships of Safety Risks with Dynamic Partition Analysis: A Mechanical Installation Case. KSCE J Civ Eng 22, 1572–1583 (2018). https://doi.org/10.1007/s12205-017-1397-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-017-1397-9

Keywords

Navigation