Routes to failure and prevention recommendations in work systems of hydropower construction
Abstract
There are many types of accidents with their own characteristics in hydropower construction. The accidents are mainly results of human errors. It is important to find out the routes to failure and give recommendations pertinently for different accident types. First, 869 accident investigation reports are collected and the human factors are filtered using the Human Factors Analysis and Classification System (HFACS) framework, the norms which link the accident causes and human factors are also explored, the first three accident types are determined by the frequency statistics. The ranking of the factors and the norms of the three accident types is presented using the frequency statistics. The Chi-square, lambda and odds ratios are used to analyze the interdependences between adjacent level factors of three highest frequency accident types. At last, based on the correlation analysis between different human factors, the routes to failure can be determined; containing the norm frequency of factors, the safety recommendations are given to the different accident types pertinently. The results can be auxiliary and effective information for safety managers to conduct scientific and pertinent safety managements.
Keyword : human error, work system, inter-rater reliability, correlation analysis, routes to failure, prevention recommendations
How to Cite
Zheng, X., Zhou, J., Wang, F., & Chen, Y. (2018). Routes to failure and prevention recommendations in work systems of hydropower construction. Journal of Civil Engineering and Management, 24(3), 206-222. https://doi.org/10.3846/jcem.2018.1647
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Koirala, S.; Hill, D.; Morgan, R. 2017. Impacts of the delay in construction of a large scale hydropower project on potential displaces, Impact Assessment & Project Appraisal 35: 106–116. https://doi.org/10.1080/14615517.2016.1271540
Lenne, M. G.; Salmon, P. M.; Liu, C. C.; Trotter, M. 2012. A systems approach to accident causation in mining: An application of the HFACS method, Accident Analysis and Prevention 48: 111–117. https://doi.org/10.1016/j.aap.2011.05.026
Li, W. C.; Harris, D.; Yu, C. S. 2008. Routes to failure: analysis of 41 civil aviation accidents from the Republic of China using the human factors analysis and classification system, Accident Analysis & Prevention 40: 426–434. https://doi.org/10.1016/j.aap.2007.07.011
Liu, S. Y.; Chi, C. F.; Li, W. C. 2013. The application of human factors analysis and classification system (HFACS) to investigate human errors in helicopter accidents, Lecture Notes in Computer Science 8020: 85–94. https://doi.org/10.1007/978-3-642-39354-9_10
Liu, T. H.; Zhong, M. H.; Xing, J. 2005. Industrial accidents: Challenges for China’s economic and social development, Safety Science 43: 503–522. https://doi.org/10.1016/j.ssci.2005.08.01
Liu, Z.; Xu, W.; Zhai, X.; Qian, C.; Chen, X. 2017. Feasibility and performance study of the hybrid ground-source heat pump system for one office building in Chinese heating dominated areas, Renewable Energy 101: 1131–1140. https://doi.org/10.1016/j.renene.2016.10.006
Madigan, R.; Golightly, D.; Madders, R. 2016. Application of human factors analysis and classification system (HFACS) to UK rail safety of the line incidents, Accident Analysis and Prevention 97: 122–131. https://doi.org/10.1016/j.aap.2016.08.023
Masirevic, D. J. 2017. On new formulas for the cumulative distribution function of the noncentral Chi-Square distribution, Mediterranean Journal of Mathematics 14: 383–384.
Moura, M. C.; Azevedo, R. V.; Droguett, E. L.; Rego, L. C.; Lins, I. D.; Vilela, R. F.; Sales Filho, R. 2016. Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model, Reliability Engineering & System Safety 154: 234. https://doi.org/10.1016/j.ress.2016.07.005
Olsen, N. S. 2014. Coding ATC incident data using HFACS: Inter–coder consensus, Safety Science 49(10): 1365–1370. https://doi.org/10.1016/j.ssci.2011.05.007
Olsen, N. S.; Shorrock, S. T. 2010. Evaluation of the HFACS-ADF safety classification system: Inter-coder consensus and intra-coder consistency, Accident Analysis and Prevention 42: 437–444. https://doi.org/10.1016/j.aap.2009.09.005
Patterson, J. M.; Shappell, S. A. 2010. Operator error and system deficiencies: Analysis of 508 mining incidents and accidents from Queensland, Australia using HFACS, Accident Analysis and Prevention 42: 1379–1385. https://doi.org/10.1016/j.aap.2010.02.018
Reason, J. 2000. Human error, Western Journal of Medicine 172(6): 393–396. https://doi.org/10.1017/CBO9781139062367
Roscoe, J. T.; Byars, J. A. 1971. An investigation of the restraints with respect to sample size commonly imposed on the use of the Chi-square statistic, Journal of The American Statistical Association 66: 755–759. https://doi.org/10.1080/01621459.1971.10482341
Shappell, S. A.; Wiegmann, D. A. 2001. Applying reason: The human factors analysis and classification system (HFACS), Gastroenterology Research 1: 207–212.
Shappell, S.; Detwiler, C.; Holcomb, K.; Hackworth, C.; Boquet, A.; Wiegmann, D. A. 2007. Human error and commercial aviation accidents: An analysis using the human factors analysis and classification system, Human Factors 49: 227–242. https://doi.org/10.1518/001872007X312469
Suraji, A.; Duff, A. R.; Peckitt, S. J. 2001. Development of causal model of construction accident causation, Journal of Construction Engineering and Management 127: 337–344. https://doi.org/10.1061/(ASCE)0733–9364(2001)127:4(337)
Tamborello, F. P. I.; Trafton, J. G. 2017. Human error as an emergent property of action selection and task place-holding, Human Factors 59: 377–392. https://doi.org/10.1177/0018720816672529
Tvaryanas, A. P.; Thompson, W. T.; Constable, S. H. 2006. Human factors in remotely piloted aircraft operations: HFACS analysis of 221 mishaps over 10 years, Aviation Space and Environmental Medicine 77: 724–732.
Wang, W.; Albert, J. M. 2017. Causal mediation analysis for the Cox proportional hazards model with a smooth baseline hazard estimator, Journal of the Royal Statistical Society 66(4): 741–757. https://doi.org/10.1111/rssc.12188
Wiegmann, D. A.; Shappell, S. A. 2003. A human error approach to aviation accident analysis: The human factors analysis and classification system. Routledge.
Zhan, Q.; Zheng, W.; Zhao, B. 2017. A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS–RAs), Safety Science 91: 232–250. https://doi.org/10.1016/j.ssci.2016.08.017
Zheng, X. Z.; Wang, F.; Zhou, J. L. 2017. A hybrid approach for evaluating faulty behavior risk of high-risk operations using ANP and evidence theory, Mathematical Problems in Engineering, Article ID 7908737. https://doi.org/10.1155/2017/7908737
Zhou, J.-L.; Bai, Z.; Sun, Z. 2014. A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems, Safety Science 64: 163–172. https://doi.org/10.1016/j.ssci.2013.12.008
Zhou, J.-L.; Lei, Y. 2017. Paths between latent and active errors: Analysis of 407 railway accidents/incidents’ causes in China, Safety Science. In Press. https://doi.org/10.1016/j.ssci.2017.12.027
Akyuz, E. 2017. A marine accident analysing model to evaluate potential operational causes in cargo ships, Safety Science 92: 17–25. https://doi.org/10.1016/j.ssci.2016.09.010
Baysari, M. T.; Caponecchia, C.; Mcintosh, A. S.; Wilson, J. R. 2009. Classification of errors contributing to rail incidents and accidents: A comparison of two human error identification techniques, Safety Science 47: 948–957. https://doi.org/10.1016/j.ssci.2008.09.012
Bentley, T. 2009. The role of latent and active failures in workplace slips, trips and falls: An information processing approach, Applied Ergonomics 40: 175–180. https://doi.org/10.1016/j.apergo.2008.04.009
Bierly, P. E.; Gallagher, S.; Spender, J. C. 2008. Innovation and learning in high-reliability organizations: A case study of United States and Russian Nuclear Attack Submarines, 1970–2000, IEE Transactions on Engineering Management 55: 393–408. https://doi.org/10.1109/TEM.2008.922643
Celik, M.; Cebi, S. 2009. Analytical HFACS for investigating human errors in shipping accidents, Accident Analysis and Prevention 41: 66–75. https://doi.org/10.1016/j.aap.2008.09.004
Chauvin, C.; Lardjane, S.; Morel, G.; Clostermann, J.; Langard, B. 2013. Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS, Accident Analysis and Prevention 59: 26–37. https://doi.org/10.1016/j.aap.2013.05.006
Chen, T.; Deng, J.; Sitar, N.; Zheng, J.; Liu, T.; Liu, A.; Zheng, L. 2017. Stability investigation and stabilization of a heavily fractured and loosened rock slope during construction of a strategic hydropower station in China, Engineering Geology 221: 70–81. https://doi.org/10.1016/j.enggeo.2017.02.031
Chen, Y.; Chen, M. C. 2011. Using chi-square statistics to measure similarities for text categorization, Expert Systems with Applications 38: 3085–3090. https://doi.org/10.1016/j.eswa.2010.08.100
Chiu, M. C.; Hsieh, M. C. 2016. Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks, Applied Ergonomics 54: 136–147. https://doi.org/10.1016/j.apergo.2015.11.017
Clarke, S.; Ward, K. 2006. The role of leader influence tactics and safety climate in engaging employees’ safety participation, Risk Analysis 26: 1175. https://doi.org/10.1111/j.1539–6924.2006.00824.x
Cohen, J. 1960. A coefficient of agreement for nominal scales, Educational and Psychological Measurement 20: 37–46. https://doi.org/10.1177/001316446002000104
Cooper, M. D.; Phillips, R. A. 2004. Exploratory analysis of the safety climate and safety behavior relationship, Journal of Safety Research 35: 497–512. https://doi.org/10.1016/j.jsr.2004.08.004
Daramola, A. Y. 2014. An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework, Journal of Air Transport Management 35: 39–50. https://doi.org/10.1016/j.jairtraman.2013.11.004
Dekker, S. W. A. 2001. The reinvention of human error, Human Factors & Aerospace Safety 1: 1153–1155.
Dekker, S. W. 2002. Reconstructing human contributions to accidents: the new view on error and performance, Journal of Safety Research 33: 371–385. https://doi.org/10.1016/S0022–4375(02)00032–4
Ergai, A.; Cohen, T.; Sharp, J.; Wiegmann, D.; Gramopadhye, A.; Shappell, S. 2016. Assessment of the human factors analysis and classification system (HFACS): Intra-rater and inter-rater reliability, Safety Science 82: 393–398. https://doi.org/10.1016/j.ssci.2015.09.028
Fang, D.; Chen, S.; Chen, B. 2015. Emergy analysis for the upper Mekong River intercepted by the Manwan hydropower construction, Renewable & Sustainable Energy Reviews 51: 899–909. https://doi.org/10.1016/j.rser.2015.06.061
Goodman, L. A.; Kruskal, W. H. 1954. Measures of association for cross classifications, Journal of The American Statistical Association 49: 732–764.
Haslam, R. A.; Hide, S. A.; Gibb, A.; Gyi, D. E.; Pavitt, T.; Atkinson, S.; Duff, A. R. 2005. Contributing factors in construction accidents, Applied Ergonomics 36: 401–415. https://doi.org/10.1016/j.apergo.2004.12.002
Heinrich, H. W. 1931. Industrial accident prevention: A scientific approach. McGraw-Hill.
Jia, N.; Xie, M.; Chai, X. 2012. Development and implementation of a GIS-based safety monitoring system for hydropower station construction, Journal of Computing in Civil Engineering 26: 44–53. https://doi.org/10.1061/(ASCE)CP.1943–5487.0000105
Jiang, H.; Lin, P.; Fan, Q.; Qiang, M. 2014. Real-time safety risk assessment based on a real–time location system for hydropower construction sites, The Scientific World Journal. Article ID 235970. https://doi.org/10.1155/2014/235970
Koirala, S.; Hill, D.; Morgan, R. 2017. Impacts of the delay in construction of a large scale hydropower project on potential displaces, Impact Assessment & Project Appraisal 35: 106–116. https://doi.org/10.1080/14615517.2016.1271540
Lenne, M. G.; Salmon, P. M.; Liu, C. C.; Trotter, M. 2012. A systems approach to accident causation in mining: An application of the HFACS method, Accident Analysis and Prevention 48: 111–117. https://doi.org/10.1016/j.aap.2011.05.026
Li, W. C.; Harris, D.; Yu, C. S. 2008. Routes to failure: analysis of 41 civil aviation accidents from the Republic of China using the human factors analysis and classification system, Accident Analysis & Prevention 40: 426–434. https://doi.org/10.1016/j.aap.2007.07.011
Liu, S. Y.; Chi, C. F.; Li, W. C. 2013. The application of human factors analysis and classification system (HFACS) to investigate human errors in helicopter accidents, Lecture Notes in Computer Science 8020: 85–94. https://doi.org/10.1007/978-3-642-39354-9_10
Liu, T. H.; Zhong, M. H.; Xing, J. 2005. Industrial accidents: Challenges for China’s economic and social development, Safety Science 43: 503–522. https://doi.org/10.1016/j.ssci.2005.08.01
Liu, Z.; Xu, W.; Zhai, X.; Qian, C.; Chen, X. 2017. Feasibility and performance study of the hybrid ground-source heat pump system for one office building in Chinese heating dominated areas, Renewable Energy 101: 1131–1140. https://doi.org/10.1016/j.renene.2016.10.006
Madigan, R.; Golightly, D.; Madders, R. 2016. Application of human factors analysis and classification system (HFACS) to UK rail safety of the line incidents, Accident Analysis and Prevention 97: 122–131. https://doi.org/10.1016/j.aap.2016.08.023
Masirevic, D. J. 2017. On new formulas for the cumulative distribution function of the noncentral Chi-Square distribution, Mediterranean Journal of Mathematics 14: 383–384.
Moura, M. C.; Azevedo, R. V.; Droguett, E. L.; Rego, L. C.; Lins, I. D.; Vilela, R. F.; Sales Filho, R. 2016. Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model, Reliability Engineering & System Safety 154: 234. https://doi.org/10.1016/j.ress.2016.07.005
Olsen, N. S. 2014. Coding ATC incident data using HFACS: Inter–coder consensus, Safety Science 49(10): 1365–1370. https://doi.org/10.1016/j.ssci.2011.05.007
Olsen, N. S.; Shorrock, S. T. 2010. Evaluation of the HFACS-ADF safety classification system: Inter-coder consensus and intra-coder consistency, Accident Analysis and Prevention 42: 437–444. https://doi.org/10.1016/j.aap.2009.09.005
Patterson, J. M.; Shappell, S. A. 2010. Operator error and system deficiencies: Analysis of 508 mining incidents and accidents from Queensland, Australia using HFACS, Accident Analysis and Prevention 42: 1379–1385. https://doi.org/10.1016/j.aap.2010.02.018
Reason, J. 2000. Human error, Western Journal of Medicine 172(6): 393–396. https://doi.org/10.1017/CBO9781139062367
Roscoe, J. T.; Byars, J. A. 1971. An investigation of the restraints with respect to sample size commonly imposed on the use of the Chi-square statistic, Journal of The American Statistical Association 66: 755–759. https://doi.org/10.1080/01621459.1971.10482341
Shappell, S. A.; Wiegmann, D. A. 2001. Applying reason: The human factors analysis and classification system (HFACS), Gastroenterology Research 1: 207–212.
Shappell, S.; Detwiler, C.; Holcomb, K.; Hackworth, C.; Boquet, A.; Wiegmann, D. A. 2007. Human error and commercial aviation accidents: An analysis using the human factors analysis and classification system, Human Factors 49: 227–242. https://doi.org/10.1518/001872007X312469
Suraji, A.; Duff, A. R.; Peckitt, S. J. 2001. Development of causal model of construction accident causation, Journal of Construction Engineering and Management 127: 337–344. https://doi.org/10.1061/(ASCE)0733–9364(2001)127:4(337)
Tamborello, F. P. I.; Trafton, J. G. 2017. Human error as an emergent property of action selection and task place-holding, Human Factors 59: 377–392. https://doi.org/10.1177/0018720816672529
Tvaryanas, A. P.; Thompson, W. T.; Constable, S. H. 2006. Human factors in remotely piloted aircraft operations: HFACS analysis of 221 mishaps over 10 years, Aviation Space and Environmental Medicine 77: 724–732.
Wang, W.; Albert, J. M. 2017. Causal mediation analysis for the Cox proportional hazards model with a smooth baseline hazard estimator, Journal of the Royal Statistical Society 66(4): 741–757. https://doi.org/10.1111/rssc.12188
Wiegmann, D. A.; Shappell, S. A. 2003. A human error approach to aviation accident analysis: The human factors analysis and classification system. Routledge.
Zhan, Q.; Zheng, W.; Zhao, B. 2017. A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS–RAs), Safety Science 91: 232–250. https://doi.org/10.1016/j.ssci.2016.08.017
Zheng, X. Z.; Wang, F.; Zhou, J. L. 2017. A hybrid approach for evaluating faulty behavior risk of high-risk operations using ANP and evidence theory, Mathematical Problems in Engineering, Article ID 7908737. https://doi.org/10.1155/2017/7908737
Zhou, J.-L.; Bai, Z.; Sun, Z. 2014. A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems, Safety Science 64: 163–172. https://doi.org/10.1016/j.ssci.2013.12.008
Zhou, J.-L.; Lei, Y. 2017. Paths between latent and active errors: Analysis of 407 railway accidents/incidents’ causes in China, Safety Science. In Press. https://doi.org/10.1016/j.ssci.2017.12.027