Technical Papers
Aug 6, 2018

Integrating Case-Based Reasoning and Simulation Modeling for Testing Strategies to Control Safety Performance

Publication: Journal of Computing in Civil Engineering
Volume 32, Issue 6

Abstract

Assessment models capable of determining the impact of various safety-related scenarios on safety performance have been developed and described in the literature. In spite of this, however, practical implementation of this work remains limited due to the inability of these models to consider the dynamic nature of construction processes. This paper proposes a conceptual approach, which combines case-based reasoning and simulation modeling, to account for the dynamic nature of construction projects by allowing the assessment of safety performance over time. In the proposed approach, safety scenarios predicted by the simulation model are compared with historical cases within a database to assess safety performance. Then, the simulation model, which combines discrete and continuous simulation to replicate the life cycle of the project, is used to update safety-related measures at specified time intervals. This integrated approach was applied in practice to predict how resource allocation and safety policies of a construction project could affect safety performance and was found capable of assisting managers with the proactive development of strategies designed to improve safety performance.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors are thankful for the support of our industrial partner. This research was made possible by the financial support of a Collaborative Research and Development Grant (CRDPJ 492657) from the Natural Sciences and Engineering Research Council of Canada. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSERC.

References

Abourizk, S., S. Hague, R. Ekyalimpa, and S. Newstead. 2017. “Simphony: A next generation simulation modelling environment for the construction domain.” J. Simul. 10 (3): 207–215. https://doi.org/10.1057/jos.2014.33.
AbouRizk, S. 2010. “Role of simulation in construction engineering and management.” J. Constr. Eng. Manage. 136 (10): 1140–1153. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000220.
Alvanchi, A., S. Lee, and S. AbouRizk. 2011. “Modeling framework and architecture of hybrid system dynamics and discrete event simulation for construction.” Comput. Aided Civ. Infrastruct. Eng. 26 (2): 77–91. https://doi.org/10.1111/j.1467-8667.2010.00650.x.
Alvanchi, A., S. Lee, and S. AbouRizk. 2012. “Dynamics of working hours in construction.” J. Constr. Eng. Manage. 138 (1): 66–77. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000384.
AOHS (Government of Alberta, Jobs, Skills, Training and Labour). 2015. “Leading indicators for workplace health and safety: A user guide.” Government of Alberta. Accessed July 25, 2018. http://work.alberta.ca/documents/ohs-best-practices-BP019.pdf.
Arditi, D., and O. B. Tokdemir. 1999. “Using case-based reasoning to predict the outcome of construction litigation.” Comput. Aided Civ. Infrastruct. Eng. 14 (6): 385–393. https://doi.org/10.1111/0885-9507.00157.
Choe, S., and F. Leite. 2015. “Temporal and spatial information integration for construction safety planning.” In Proc., Int. Workshop on Computing in Civil Engineering, 483–490. Reston, VA: ASCE.
Choi, S., D. Y. Kim, S. H. Han, and Y. H. Kwak. 2014. “Conceptual cost-prediction model for public road planning via rough set theory and case-based reasoning.” J. Constr. Eng. Manage. 140 (1): 04013026. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000743.
Chua, D. K. H., D. Z. Li, and W. T. Chan. 2001. “Case-based reasoning approach in bid decision making.” J. Constr. Eng. Manage. 127 (1): 35–45. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:1(35).
COAA (Construction Owners Association of Alberta). 2011. “Workplace health and safety performance improvement guideline.” Construction Owners Association of Alberta. Accessed July 25, 2018. https://www.coaa.ab.ca/COAA-Library/SAF-PIM-CBP-01-2011-v1%20Workplace%20H&S%20Performance%20Improvement%20Guideline.pdf.
Cooke, D. L. 2003. “A system dynamics analysis of the Westray mine disaster.” Syst. Dyn. Rev. 19 (2): 139–166. https://doi.org/10.1002/sdr.268.
Dadeviren, M., and I. Yuksel. 2008. “Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management.” Inf. Sci. 178 (6): 1717–1733. https://doi.org/10.1016/j.ins.2007.10.016.
de Vaus, D. A. 2002. Analyzing social data science. London: SAGE Publications.
Du, J., and J. Bormann. 2014. “Improved similarity measure in case-based reasoning with global sensitivity analysis: An example of construction quantity estimating.” J. Comput. Civ. Eng. 28 (6): 04014020. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000267.
Dzeng, R.-J., and I. D. Tommelein. 2004. “Product modeling to support case-based construction planning and scheduling.” Autom. Constr. 13 (3): 341–360. https://doi.org/10.1016/j.autcon.2003.10.002.
Esmaeili, B., M. R. Hallowell, and B. Rajagopalan. 2015. “Attribute-based safety risk assessment. II: Predicting safety outcomes using generalized linear models.” J. Constr. Eng. Manage. 141 (8): 04015022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000981.
Fortunato, B. R., M. R. Hallowell, M. Behm, and K. Dewlaney. 2012. “Identification of safety risks for high-performance sustainable construction projects.” J. Constr. Eng. Manage. 138 (4): 499–508. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000446.
García, B., D. Soto, and B. T. Adey. 2015. “Investigation of the case-based reasoning retrieval process to estimate resources in construction projects.” Procedia Eng. 123: 169–181. https://doi.org/10.1016/j.proeng.2015.10.074.
Goh, Y. M., and D. Chua. 2013. “Neural network analysis of construction safety management systems: A case study in Singapore.” Constr. Manage. Econ. 31 (5): 460–470. https://doi.org/10.1080/01446193.2013.797095.
Goh, Y. M., and D. K. H. Chua. 2010. “Case-based reasoning approach to construction safety hazard identification: Adaptation and utilization.” J. Constr. Eng. Manage. 136 (2): 170–178. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000116.
Gravetter, F. J., and L. B. Wallnau. 2010. Statistics for the behavioral sciences. Belmont, CA: Wadsworth.
Guo, B. H. W., and T. W. Yiu. 2016. “Developing leading indicators to monitor the safety conditions of construction projects.” J. Manage. Eng. 32 (1): 04015016. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000376.
Guo, B. H. W., T. W. Yiu, and V. A. González. 2016. “Predicting safety behavior in the construction industry: Development and test of an integrative model.” Saf. Sci. 84: 1–11. https://doi.org/10.1016/j.ssci.2015.11.020.
Haas, E. J., and P. Yorio. 2016. “Exploring the state of health and safety management system performance measurement in mining organizations.” Saf. Sci. 83: 48–58. https://doi.org/10.1016/j.ssci.2015.11.009.
Hale, A. 2009. “Why safety performance indicators?” Saf. Sci. 47 (4): 479–480. https://doi.org/10.1016/j.ssci.2008.07.018.
Hallowell, M. R., and J. A. Gambatese. 2009. “Construction safety risk mitigation.” J. Constr. Eng. Manage. 135 (12): 1316–1323. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000107.
Hallowell, M. R., J. W. Hinze, K. C. Baud, and A. Wehle. 2013. “Proactive construction safety control: Measuring, monitoring, and responding to safety leading indicators.” J. Constr. Eng. Manage. 139 (10): 04013010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000730.
Han, S., F. Saba, S. Lee, Y. Mohamed, and F. Pena-Mora. 2014. “Toward an understanding of the impact of production pressure on safety performance in construction operations.” Accid. Anal. Prev. 68 (7): 106–116. https://doi.org/10.1016/j.aap.2013.10.007.
Harms-Ringdahl, L. 2009. “Dimensions in safety indicators.” Saf. Sci. 47 (4): 481–482. https://doi.org/10.1016/j.ssci.2008.07.019.
Hinze, J., M. Hallowell, and K. Baud. 2013. “Construction-safety best practices and relationships to safety performance.” J. Constr. Eng. Manage. 139 (10): 04013006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000751.
Hopkins, A. 2009. “Reply to comments.” Saf. Sci. 47: 508–510. https://doi.org/10.1016/j.ssci.2008.07.020.
ILO (International Labour Organization). 2014. “ILOSTAT database.” Accessed August 1, 2014. http://www.ilo.org/ilostat/faces/home/statisticaldata.
Jablonowski, C. J. 2011. Identification of HSE leading indicators using regression analysis. Houston: Society of Petroleum Engineers.
Jiang, Z., D. Fang, and M. Zhang. 2015. “Understanding the causation of construction workers’ unsafe behaviors based on system dynamics modeling.” J. Manage. Eng. 31 (6): 04014099. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000350.
Kim, G.-H., S.-H. An, and K.-I. Kang. 2004. “Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning.” Build. Environ. 39 (10): 1235–1242. https://doi.org/10.1016/j.buildenv.2004.02.013.
Kim, K. J., and K. Kim. 2010. “Preliminary cost estimation model using case-based reasoning and genetic algorithms.” J. Comput. Civ. Eng. 24 (6): 499–505. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000054.
Kim, S., and J. Shim. 2014. “Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry.” Can. J. Civ. Eng. 41 (1): 65–73. https://doi.org/10.1139/cjce-2013-0223.
Lee, H., H. Kim, M. Park, E. A. L. Teo, and K. Lee. 2012. “Construction risk assessment using site influence factors.” J. Comput. Civ. Eng. 26 (3): 319–330. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000146.
Lee, S., and D. W. Halpin. 2003. “Predictive tool for estimating accident risk.” J. Constr. Eng. Manage. 129 (4): 431–436. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(431).
Lee, S., S. Han, and F. Peña-Mora. 2009. “Integrating construction operation and context in large-scale construction using hybrid computer simulation.” J. Comput. Civ. Eng. 23 (2): 75–83. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:2(75).
Li, H., M. Lu, S.-C. Hsu, M. Gray, and T. Huang. 2015. “Proactive behavior-based safety management for construction safety improvement.” Saf. Sci. 75: 107–117. https://doi.org/10.1016/j.ssci.2015.01.013.
Lingard, H., M. Hallowell, R. Salas, and P. Pirzadeh. 2017. “Leading or lagging? Temporal analysis of safety indicators on a large infrastructure construction project.” Saf. Sci. 91: 206–220. https://doi.org/10.1016/j.ssci.2016.08.020.
Lopez, B. 2013. Case-based reasoning: A concise introduction. San Rafael, CA: Morgan & Claypool.
Mitropoulos, P., T. S. Abdelhamid, and G. A. Howell. 2005. “Systems model of construction accident causation.” J. Constr. Eng. Manage. 131 (7): 816–825. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:7(816).
Mitropoulos, P., and B. Memarian. 2012. “A framework of teamwork attributes affecting workers safety.” In Proc., Construction Research Congress 2012, 1400–1409. Reston, VA: ASCE.
Ng, S. T. 2001. “EQUAL: A case-based contractor prequalifier.” Autom. Constr. 10 (4): 443–457. https://doi.org/10.1016/S0926-5805(00)00079-0.
Patel, D. A., and K. N. Jha. 2015. “Neural network approach for safety climate prediction.” J. Manage. Eng. 31 (6): 05014027. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000348.
Pereira, E., U. Hermann, S. Han, and S. AbouRizk. 2018. “Case-based reasoning approach for assessing safety performance using safety-related measures.” J. Constr. Eng. Manage. 144 (9): 04018088. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001546.
Puri, V., and J. C. Martinez. 2013. “Modeling of simultaneously continuous and stochastic construction activities for simulation.” J. Constr. Eng. Manage. 139 (8): 1037–1045. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000661.
Razavialavi, S., and S. AbouRizk. 2015. “A hybrid simulation approach for quantitatively analyzing the impact of facility size on construction projects.” Autom. Constr. 60: 39–48. https://doi.org/10.1016/j.autcon.2015.09.006.
Razavialavi, S., and S. AbouRizk. 2016. “Genetic algorithm–simulation framework for decision making in construction site layout planning.” J. Constr. Eng. Manage. 143 (1): 04016084. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001213.
Reggelin, T., and J. Tolujew 2011. “A mesoscopic approach to modeling and simulation of logistics processes.” Proc., 2011 Winter Simulation Conf., 1513–1523. Piscataway, NJ: IEEE.
Richter, M. M., and R. O. Weber. 2013. Case-based reasoning: A textbook. Berlin: Springer.
Roth, P. F. 1987. “Discrete, continuous and combined simulation.” In Proc., Winter Simulation Conf., 25–29. Piscataway, NJ: IEEE.
Salas, R., and M. Hallowell. 2016. “Predictive validity of safety leading indicators: Empirical assessment in the oil and gas sector.” J. Constr. Eng. Manage. 142 (10): 04016052. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001167.
Saleh, J. H., K. B. Marais, and F. M. Favaró. 2014. “System safety principles: A multidisciplinary engineering perspective.” J. Loss Prev. Process Ind. 29: 283–294.https://doi.org/10.1016/j.jlp.2014.04.001.
Tixier, A. J. P., M. R. Hallowell, and B. Rajagopalan. 2017. “Construction safety risk modeling and simulation.” Risk Anal. 37 (10): 1917–1935. https://doi.org/10.1111/risa.12772.
Wang, W.-C., J.-J. Liu, and S.-C. Chou. 2006. “Simulation-based safety evaluation model integrated with network schedule.” Autom. Constr. 15 (3): 341–354. https://doi.org/10.1016/j.autcon.2005.06.015.
Watson, I. 1999. “Case-based reasoning is a methodology not a technology.” Knowl.-Based Syst. 12: 303–308. https://doi.org/10.1007/978-1-4471-0835-1_15.
Wu, W., A. G. F. Gibb, and Q. Li. 2010. “Accident precursors and near misses on construction sites: An investigative tool to derive information from accident databases.” Saf. Sci. 48 (7): 845–858. https://doi.org/10.1016/j.ssci.2010.04.009.
Zhang, M., and D. Fang. 2013. “A continuous behavior-based safety strategy for persistent safety improvement in construction industry.” Autom. Constr. 34: 101–107. https://doi.org/10.1016/j.autcon.2012.10.019.
Zolfagharian, S., J. Irizarry, A. Ressang, M. Nourbakhsh, and M. Gheisari. 2014. “Automated safety planning approach for residential construction sites in Malaysia.” Int. J. Constr. Manage. 14 (3): 134–147. https://doi.org/10.1080/15623599.2014.926190.

Information & Authors

Information

Published In

Go to Journal of Computing in Civil Engineering
Journal of Computing in Civil Engineering
Volume 32Issue 6November 2018

History

Received: Sep 15, 2017
Accepted: May 18, 2018
Published online: Aug 6, 2018
Published in print: Nov 1, 2018
Discussion open until: Jan 6, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Estacio Pereira, Ph.D. [email protected]
Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116 St., NW, Edmonton, AB, Canada T6G 1H9. Email: [email protected]
SangUk Han, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Hanyang Univ., 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea. Email: [email protected]
Simaan AbouRizk, Ph.D., M.ASCE [email protected]
P.Eng.
Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116 St., NW, Edmonton, AB, Canada T6G 1H9 (corresponding author). Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share