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Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000-2020)

Safety science, v.146, 2022년, pp.105537 -   

Halabi, Yahia ,  Xu, Hu ,  Long, Danbing ,  Chen, Yuhang ,  Yu, Zhixiang ,  Alhaek, Fares ,  Alhaddad, Wael

초록이 없습니다.

참고문헌 (82)

  1. Agresti, A. (2018). An introduction to categorical data analysis. John Wiley & Sons. 

  2. Int. J. Injury Control Saf. Promotion Amiri 23 3 264 2016 10.1080/17457300.2015.1032979 Pattern extraction for high-risk accidents in the construction industry: a data-mining approach 

  3. Reliab. Eng. Syst. Saf. Aneziris 105 36 2012 10.1016/j.ress.2011.11.003 Occupational risk of building construction 

  4. J Safety Res Arquillos 43 5-6 381 2012 10.1016/j.jsr.2012.07.005 Analysis of construction accidents in Spain, 2003-2008 

  5. J. Construct. Eng. Manage. Beavers 135 3 227 2009 10.1061/(ASCE)0733-9364(2009)135:3(227) Steel erection fatalities in the construction industry 

  6. BLS (U.S. Bureau of Labor Statistics) (2019). “Census of Fatal Occupational Injuries” (Accessed May 8, 2021 from: https://www.bls.gov/iif/). 

  7. Bo 2016 International Conference on Fuzzy Theory & Its Applications An approach to group decision-making based on interval-valued intuitionistic fuzzy geometric distance measures 

  8. Brown, S., Brooks, R. D., & Dong, X. S. (2020). Impact of COVID-19 on construction workers and businesses. https://stacks.cdc.gov/view/cdc/95397. 

  9. Lawrence 2018 Pacific Institute for Research and Evaluation The Consumer Product Safety Commission’s Revised Injury Cost Model, Final Report to the U.S. Consumer Product Safety Commission 

  10. Int. J. Construct. Educ. Res. Cakan 10 4 300 2014 10.1080/15578771.2013.868843 Investigation of factors contributing to fatal and nonfatal roofer fall accidents 

  11. ILR Review Campolieti 59 3 438 2006 10.1177/001979390605900306 Further evidence on the “Monday Effect” in workers' compensation 

  12. CFOI (Census of Fatal Occupational Injuries) (2019). “News release data.” https://www.bls.gov/news.release/pdf/cfoi.pdf. 

  13. J. Construct. Eng. Manage. Chan 134 7 527 2008 10.1061/(ASCE)0733-9364(2008)134:7(527) Work at height fatalities in the repair, maintenance, alteration, and addition works 

  14. J. Statist. Manage. Syst. Chellappa 23 2 373 2020 A knowledge-based approach for enhancing fall prevention in the construction industry 

  15. Saf. Sci. Cheng 48 6 698 2010 10.1016/j.ssci.2010.02.001 Characteristic analysis of occupational accidents at small construction enterprises 

  16. Appl. Ergon. Chi 36 4 391 2005 10.1016/j.apergo.2004.09.011 Accident patterns and prevention measures for fatal occupational falls in the construction industry 

  17. Int. J. Project Manage. Chi 31 7 1027 2013 10.1016/j.ijproman.2012.12.004 Analyses of systems theory for construction accident prevention with specific reference to OSHA accident reports 

  18. 10.1061/(ASCE)CO.1943-7862.0001433 Chiang, Yat-Hung, Wong, Francis, Kwan-Wah, & Liang, et al. (2018). Fatal construction accidents in hong kong. J. Construct. Eng. Manage., 144(3), 4017121.1. 10.1061/(ASCE)CO.1943-7862.0001433. 

  19. Int. J. Ind. Ergon. Choi 71 64 2019 10.1016/j.ergon.2019.02.011 Comparison of fatal occupational injuries in construction industry in the United States, South Korea, and China 

  20. Statistical power analysis for the behavioral sciences Cohen No. 300.72 C6 1988 

  21. Mathematical methods of statistics Cramér 1946 Mathematical methods of statistics 

  22. 10.1088/1742-6596/949/1/012009 Daoud, & Jamal, I. (2017). Multicollinearity and regression analysis. J. Phys.: Conf. Ser, 949, 012009. 10.1088/1742-6596/949/1/012009. 

  23. Accid. Anal. Prev. Dong 41 5 1047 2009 10.1016/j.aap.2009.06.012 Fatal falls among Hispanic construction workers 

  24. Accid. Anal. Prev. Dong 102 136 2017 10.1016/j.aap.2017.02.028 Fatal falls and PFAS use in the construction industry: findings from the NIOSH face reports 

  25. J. Saf. Res. Dong 62 217 2017 10.1016/j.jsr.2017.06.017 The construction face database - codifying the NIOSH face reports 

  26. J. Saf. Res. Dong 44 Feb. 17 2013 10.1016/j.jsr.2012.08.024 Fatal falls from roofs among U.S. construction workers 

  27. Pattern Recogn. Lett. Fawcett 27 8 861 2006 10.1016/j.patrec.2005.10.010 An introduction to ROC analysis 

  28. Field 2013 Discovering statistics using IBM SPSS statistics 

  29. Saf. Sci. Forteza 94 Complete 61 2017 10.1016/j.ssci.2017.01.003 Occupational risks, accidents on sites, and economic performance of construction firms 

  30. Int. J. Project Manage. Fung 28 6 593 2010 10.1016/j.ijproman.2009.09.006 Developing a risk assessment model for construction safety 

  31. Gravetter, F. J., & Wallnau, L. B. (2009). Statistics for the Behavioral Sciences. 

  32. J. Saf. Res. Hatipkarasulu 41 5 451 2010 10.1016/j.jsr.2010.08.005 Project level analysis of special trade contractor fatalities using accident investigation reports 

  33. J. Construct. Eng. Manage. Hinze 124 1 67 1998 10.1061/(ASCE)0733-9364(1998)124:1(67) Identifying root causes of construction injuries 

  34. Hosmer Vol. 398 2013 

  35. HSE, 2020. Health and Safety Executive. “Workplace Fatal Injuries in Great Britain”. http://www.hse.gov.uk/statistics/pdf/fatalinjuries.pdf. 

  36. Construct. Manage. Econom. Hu 29 4 397 2011 10.1080/01446193.2011.558104 Factors influencing the risk of falls in the construction industry: a review of the evidence 

  37. J. Construct. Eng. Manage. Huang 129 3 262 2003 10.1061/(ASCE)0733-9364(2003)129:3(262) Analysis of construction worker fall accidents 

  38. J. Saf. Res. Janicak 29 1 35 1998 10.1016/S0022-4375(97)00027-3 Fall-related deaths in the construction industry 

  39. J. Construct. Eng. Manage. Johnson 124 5 418 1998 10.1061/(ASCE)0733-9364(1998)124:5(418) Fall protection analysis for workers on residential roofs 

  40. Saf. Sci. Kang 120 226 2019 10.1016/j.ssci.2019.06.034 Predicting types of occupational accidents at construction sites in Korea using random forest model 

  41. J. Construct. Eng. Manage. Kang 143 8 04017043 2017 10.1061/(ASCE)CO.1943-7862.0001332 Trends of fall accidents in the U.S. construction industry 

  42. 10.1061/(ASCE)ME.1943-5479.0000655 Kang, Y. . (2018). Use of fall protection in the U.S. construction industry. Journal of Management in Engineering, 34(6), 04018045.1-04018045.10. 10.1061/(ASCE)ME.1943-5479.0000655. 

  43. 10.1007/978-1-4419-1742-3 Kleinbaum, D. G., & Klein, M. (2010). Logistic Regression: A Self-Learning Text. Springer Science & Business Media. 

  44. Reliab. Eng. Syst. Saf. Kvaloy 90 1 75 2005 10.1016/j.ress.2004.10.010 An alternative approach to trend analysis in accident data 

  45. Saf. Sci. Li 117 43 2019 10.1016/j.ssci.2019.04.001 Work-related and non-work-related accident fatal falls in Shanghai and Wuhan, China 

  46. Procedia Eng. Liao 29 none 3240 2012 10.1016/j.proeng.2012.01.473 Pattern analysis of seasonal variation in occupational accidents in the construction industry 

  47. Int. J. Project Manage. Ling 27 7 717 2009 10.1016/j.ijproman.2008.11.002 Construction fatalities in Singapore 

  48. Br. J. Oral Maxillofac. Surg. Mccrum-Gardner 46 1 38 2008 10.1016/j.bjoms.2007.09.002 Which is the correct statistical test to use? 

  49. 10.1093/aje/kwk052 Mcculloch, V. C. E. . (2007). Relaxing the rule of ten events per variable in logistic and cox regression. Am. J. Epidemiol., 165(6), 710. 10.1093/aje/kwk052. 

  50. MHURD, 2021. Reinforcement of “accident information” Reporting Work from MHURD--Delay reporting, omission reporting, false reporting, and concealed reporting of accidents will be warned, (Accessed May 8, 2021 from, http://www.mohurd.gov.cn/zxydt/201508/t20150813_223249.html. 

  51. 10.1093/biomet/78.3.691 Nagelkerke, N. J. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691-692. 

  52. NIOSH (National Institute for Occupational Safety and Health). (2004). Worker health chartbook, U.S. Dept. of Health and Human Services, Cincinnati. 

  53. Saf. Sci. Ohtani 43 5-6 287 2005 10.1016/j.ssci.2005.06.003 Statistical analysis of dangerous goods accidents in japan 

  54. OSHA (Occupational Safety and Health Administration) (2011). “Construction Focus Four: Fall Hazards Instructor Guide.“ https://www.osha.gov/dte/outreach/construction/focus_four/falls/falls_ig.pdf. 

  55. OSHA (Occupational Safety and Health Administration) (2015). “Fall Protection in Construction.” https://www.osha.gov/sites/default/files/publications/OSHA3146.pdf. 

  56. OSHA (Occupational Safety and Health Administration) (2019). “OSHA commonly used statistics.” (Accessed May. 7, 2021) https://www.osha.gov/data/commonstats. 

  57. OSHA (Occupational Safety and Health Administration) “Safety and Health Regulations for Construction: Fall Protection (Standard 29 CFR 1926, Subpart M)” (Accessed May 23, 2021, from: https://www.osha.gov/laws regs/regulations/standardnumber/1926/1926.502. 

  58. OSHA (Occupational Safety and Health Administration). (2003). “OSHA Strategic Assessment”. 

  59. OSHA Occupational Safety and Health Administration, (2015), “Protecting Roofing Workers.” https://www.osha.gov/sites/default/files/publications/OSHA3755.pdf. 

  60. Pallant, J. (2011). Survival manual.A step by step guide to data analysis using SPSS,4. 

  61. Saf. Sci. Papadakis 46 6 972 2008 10.1016/j.ssci.2007.11.009 The exposure-damage approach in the quantification of occupational risk in workplaces involving dangerous substances 

  62. Reliab. Eng. Syst. Saf. Papazoglou 92 6 785 2007 10.1016/j.ress.2006.04.017 A logical model for quantification of occupational risk 

  63. Saf. Sci. Pinto 49 5 616 2011 10.1016/j.ssci.2011.01.003 Occupational risk assessment in construction industry - overview and reflection 

  64. Rausand 2020 Risk assessment: theory, methods, and applications 

  65. J. Saf. Res. Robson 74 271 2020 10.1016/j.jsr.2020.06.007 Preventing fall-from-height injuries in construction: effectiveness of a regulatory training standard 

  66. Saf. Sci. Rubio-Romero 55 160 2013 10.1016/j.ssci.2013.01.006 Analysis of the safety conditions of scaffolding on construction sites 

  67. 10.1521/jscp.2010.29.1.95 Ryan.R., Bernstein.J.H., & Brown.K.W.. (2010). Weekends, work, and well-being: psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. J. Soc. Clin. Psychol. 10.1521/jscp.2010.29.1.95. 

  68. J. Saf. Res. Sa 40 1 1 2009 10.1016/j.jsr.2008.10.010 Comparison of risk factors for falls from height between commercial and residential roofers 

  69. Samantha Brown, MPH, William Harris, MS, Raina D. Brooks, MPH, Xiuwen Sue Dong, DrPH. (2021). Fatal Injury Trends in the Construction Industry. Data Bulletin. https://www.cpwr.com/research/data-center/data-reports/. 

  70. Int. J. Project Manage. Sawacha 17 5 309 1999 10.1016/S0263-7863(98)00042-8 Factors affecting safety performance on construction sites 

  71. Mcgarvey 2018 The Construction Chart Book 

  72. Saf. Sci. Shao 111 253 2019 10.1016/j.ssci.2018.07.019 Fatal accident patterns of building construction activities in China 

  73. Am. J. Ind. Med. Socias-Morales 61 3 204 2018 10.1002/ajim.22810 Fatal work-related falls in the United States, 2003-2014 

  74. Saf. Sci. Zhang 72 31 2015 10.1016/j.ssci.2014.08.001 Bim-based fall hazard identification and prevention in construction safety planning 

  75. Tabachnick 2019 Using Multivariate Statistics 

  76. Construct. Manage. Econom. Tang 22 9 937 2004 10.1080/0144619042000226315 Impact of social safety investments on social costs of construction accidents 

  77. Accid. Anal. Prev. Waehrer 39 6 1258 2007 10.1016/j.aap.2007.03.012 Costs of occupational injuries in construction in the United States 

  78. Saf. Sci. Winge 105 158 2018 10.1016/j.ssci.2018.02.006 Accident types and barrier failures in the construction industry 

  79. Saf. Sci. Winge 112 130 2019 10.1016/j.ssci.2018.10.015 Causal factors and connections in construction accidents 

  80. J. Construct. Eng. Manage. Wong 142 7 04016018 2016 10.1061/(ASCE)CO.1943-7862.0001098 Association of root causes in fatal fall-from-height construction accidents in Hong Kong 

  81. Autom. Constr. Zhong 113 103089 2020 10.1016/j.autcon.2020.103089 Deep learning and network analysis: classifying and visualizing accident narratives in construction 

  82. Saf. Sci. Zhou 72 337 2015 10.1016/j.ssci.2014.10.006 Overview and analysis of safety management studies in the construction industry 

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