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An expert system for the quantification of fault rates in construction fall accidents

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Introduction. Expert witness reports, prepared with the aim of quantifying fault rates among parties, play an important role in a court's final decision. However, conflicting fault rates assigned by different expert witness boards lead to iterative objections raised by the related parties. This unfavorable situation mainly originates due to the subjectivity of expert judgments and unavailability of objective information about the causes of accidents. As a solution to this shortcoming, an expert system based on a rule-based system was developed for the quantification of fault rates in construction fall accidents. The aim of developing DsSafe is decreasing the subjectivity inherent in expert witness reports. Methodology. Eighty-four inspection reports prepared by the official and authorized inspectors were examined and root causes of construction fall accidents in Turkey were identified. Using this information, an evaluation form was designed and submitted to the experts. Experts were asked to evaluate the importance level of the factors that govern fall accidents and determine the fault rates under different scenarios. Based on expert judgments, a rule-based expert system was developed. The accuracy and reliability of DsSafe were tested with real data as obtained from finalized court cases. Result. DsSafe gives satisfactory results.
Rocznik
Strony
20--31
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
  • Middle East Technical University, Turkey
autor
  • Middle East Technical University, Turkey
autor
  • YildizTechnical University, Turkey
autor
  • Demirel Insaat Ltd Sti, Turkey
Bibliografia
  • 1. Bureau of Labor Statistics. Fatal occupational injuries by industry and event or exposure, 2013–2014 [cited 2014 April 12]. Available from: http://www.bls.gov/iif/oshwc/cfoi/cftb0277.pdf(open in a new window)
  • 2. Health and Safety Executive. Health and safety in construction in Great Britain, 2014/2014 [cited 2014 April 12]. Available from: http://www.hse.gov.uk/statistics/industry/construction/construction.pdf(open in a new window)
  • 3. SGK. KURUMSALİstatistikSGK İstatistik Yıllıkları [Cooperation statistics SGK statistics agenda] 2012 [cited 2012 April 12]. Available from: http://www.sgk.gov.tr/wps/portal/tr/kurumsal/istatistikler(open in a new window)
  • 4. European Agency for Safety and Health at Work. Factsheet 15 – accident prevention in the construction sector. Facts 15. European Agency for Safety and Health at Work; 2001. Retrieved from http://osha.europa.eu/en/publications/factsheets/15/(open in a new window)
  • 5. Demoisson A, Pelegrin A, Moreau A, et al. Guide of best practices on the coordination of health and safety in the construction sector, part II. Brussels: FIEC, EFBWW, SEFMEP; 2000.
  • 6. Chen WT, Chang P-Y, Chou K, et al. Developing a CBR-based adjudication system for fatal construction industry occupational accidents. Part I: Building the system framework. Expert Syst Appl. 2010;37(7):4867-4880. doi:http://dx.doi.org/10.1016/j.eswa.2009.12.028
  • 7. Demirel T. An expert system for the quantification of fault rates in construction fall accidents [master of science thesis]. Ankara: Middle East Technical University; 2005. Turkish.
  • 8. Dong XS, Wang X, Largay JA, et al. Fatal falls in the U.S. residential construction industry. Am J Ind Med. 2014;57(9):992–1000. doi:10.1002/ajim.22341
  • 9. Chan APC, Wong FKW, Chan DWM, et al. Work at height fatalities in the repair, maintenance, alteration, and addition works. J Constr Eng M. 2008;134(7):527–535. PubMed PMID: 32634881 10.1061/(asce)0733-9364(2008)134:7(527)(open in a new window) doi: 10.1061/(ASCE)0733-9364(2008)134:7(527)
  • 10. Kartam NA, Bouz RG. Fatalities and injuries in the Kuwaiti construction industry. Accident Anal Prev. 1998;30(6):805–814. doi:10.1016/s0001-4575(98)00033-5
  • 11. Larsson TJ, Field B. The distribution of occupational injury risks in the Victorian construction industry. Safe Sc. 2002;40(5):439-456. 10.1016/s0925-7535(01)00015-7(open in a new window) doi: 10.1016/S0925-7535(01)00015-7
  • 12. Reese CD, Eidson JV. Handbook of OSHA construction safety and health. 2nd ed. Boca Raton (FL): Taylor & Francis; 2006.
  • 13. Ling FYY, Liu M, Woo YC. Construction fatalities in Singapore. Int J Proj Manag. 2009;27(7):717–726. 10.1016/j.ijproman.2008.11.002(open in a new window) doi: 10.1016/j.ijproman.2008.11.002
  • 14. Bobick TG. Falls through roof and floor openings and surfaces, including skylights: 1992-2000. J Constr Eng Manag. 2004;130(6):895-907. 10.1061/(ASCE)0733-9364(2004)130:6(895)(open in a new window) doi: 10.1061/(ASCE)0733-9364(2004)130:6(895)
  • 15. Sawacha E, Naoum S, Fong D. Factors affecting safety performance on construction sites. Int J Proj Manag. 1999;17(5):309–315. http://dx.doi.org/10.1016/S0263-7863(98)00042-8(open in a new window) doi: 10.1016/S0263-7863(98)00042-8
  • 16. Cheng C-W, Leu S-S, Lin C-C, et al. Characteristic analysis of occupational accidents at small construction enterprises. Safe Sc. 2010;48(6):698-707. 10.1016/j.ssci.2010.02.001(open in a new window) doi: 10.1016/j.ssci.2010.02.001
  • 17. Janicak CA. Fall-related deaths in the construction industry. J Safe Res. 1998;29(1):35-42. http://dx.doi.org/10.1016/S0022-4375(97)00027-3(open in a new window) doi: 10.1016/S0022-4375(97)00027-3
  • 18. Chi C-F, Chang T-C, Ting H-I. Accident patterns and prevention measures for fatal occupational falls in the construction industry. Appl Ergon. 2005;36(4):391–400. http://dx.doi.org/10.1016/j.apergo.2004.09.011(open in a new window) doi: 10.1016/j.apergo.2004.09.011
  • 19. Lipscomb HJ, Glazner JE, Bondy J, et al. Injuries from slips and trips in construction. Appl Ergon. 2006;37(3):267–274. doi:10.1016/j.apergo.2005.07.008
  • 20. Kaskutas V, Dale AM, Nolan J, et al. Fall hazard control observed on residential construction sites. Am J Ind Med. 2009;52(6):491–499. doi:10.1002/ajim.20698
  • 21. Hu K, Rahmandad H, Smith-Jackson T, et al. Factors influencing the risk of falls in the construction industry: a review of the evidence. Constr Manag Econ. 2011;29(4):397–416. doi:10.1080/01446193.2011.558104
  • 22. Hsiao H, Simeonov P. Preventing falls from roofs: a critical review. Ergon. 2001;44(5):537-561. 10.1080/00140130110034480(open in a new window) doi: 10.1080/00140130110034480
  • 23. Arditi D, Oksay FE, Tokdemir OB. Predicting the outcome of construction litigation using neural networks. Comput-Aided Civ Inf Eng. 1998;13(2):75-81. 10.1111/0885-9507.00087(open in a new window) doi: 10.1111/0885-9507.00087
  • 24. Arditi D, Tokdemir OB. Using case-based reasoning to predict the outcome of construction litigation. Comput-Aided Civ Inf Eng. 1999;14(6):385–393. 10.1111/0885-9507.00157(open in a new window) doi: 10.1111/0885-9507.00157
  • 25. Chau KW. Application of a PSO-based neural network in analysis of outcomes of construction claims. Automa Constr. 2007;16(5):642–646. doi:10.1016/j.autcon.2006.11.008
  • 26. Mahfouz T, Kandil A. Construction legal decision support using support vector machine (SVM). In: Ruwanpura J, Mohamed Y, Lee S, editors. Construction research congress 2010 – innovation for reshaping construction practice. 2. Reston (VA): American Society of Civil Engineers; 2010. p. 879–888. doi:doi:10.1061/41109(373)88.
  • 27. Hadipriono F. Forensic study for causes of fall using fault tree analysis. J Perform Constr Fac. 2001;15(3):96–103. doi:10.1061/(ASCE)0887-3828(2001)15:3(96)
  • 28. Castillo E, Gutiérrez JM, Hadi AS. Expert systems and probabilistic network models. New York: Springer; 1997.
  • 29. Dijkstra JJ, Liebrand WBG, Timminga E. Persuasiveness of expert systems. Behav Infor Technol. 1998;17(3):155–163. doi:10.1080/014492998119526
  • 30. Liao S-H. Expert system methodologies and applications—a decade review from 1995 to 2004. Expert Syst Appl. 2005;28(1):93–103. http://dx.doi.org/10.1016/j.eswa.2004.08.003(open in a new window) doi: 10.1016/j.eswa.2004.08.003
  • 31. Grosan C, Abraham A. Intelligent systems: a modern approach. Chennai: Springer; 2011.
  • 32. Huang H-C. Designing a knowledge-based system for strategic planning: a balanced scorecard perspective. Expert Syst Appl. 2009;36(1):209–218. 10.1016/j.eswa.2007.09.046(open in a new window) doi: 10.1016/j.eswa.2007.09.046
  • 33. Aniba MR, Siguenza S, Friedrich A, et al. Knowledge-based expert systems and a proof-of-concept case study for multiple sequence alignment construction and analysis. Brief Bioinform. 2009;10(1):11–23. doi:10.1093/bib/bbn045
  • 34. Hadipriono F. Expert System for construction safety. I: fault-tree models. J Perform Constr Fac. 1992;6(4):246–260. doi:10.1061/(ASCE)0887-3828(1992)6:4(246)
  • 35. Imriyas K. An expert system for strategic control of accidents and insurers’ risks in building construction projects. Expert Syst Appl. 2009;36(2, Part 2):4021–4034. 10.1016/j.eswa.2008.02.029(open in a new window) doi: 10.1016/j.eswa.2008.02.029
  • 36. Azadeh A, Fam IM, Khoshnoud M, et al. Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery. Inform Sci. 2008;178(22):4280–4300. doi:10.1016/j.ins.2008.06.026
  • 37. Firebaugh MW. Artificial intelligence: a knowledge-based approach. Boston (MA): PWS-KENT; 1989.
  • 38. Allen RH. Expert systems for civil engineers: knowledge representation. New York: ASCE; 1992.
  • 39. Landis JR, Koch GG. The Measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74. doi:10.2307/2529310
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9d11d650-4e96-43f9-920f-4ea9e3439533
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