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Articles

Psychological decision-making process of construction worker safety behavior: an agent-based simulation approach

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References

  • Heinrich HW, Petersen D, Roos N. Industrial accident prevention. New York (NY): McGraw-Hill; 1950.
  • Choi B, Ahn S, Lee SH. Role of social norms and social identifications in safety behavior of construction workers. I: theoretical model of safety behavior under social influence. J Constr Eng Manag. 2017;143(5):04016124. doi:10.1061/(ASCE)CO.1943-7862.0001271
  • Hinze J, Thurman S, Wehle A. Leading indicators of construction safety performance. Saf Sci. 2013;51(1):23–28. doi:10.1016/j.ssci.2012.05.016
  • Zohar D. A group-level model of safety climate: testing the effect of group climate on microaccidents in manufacturing jobs. J Appl Psychol. 2000;85(4):587–596. doi:10.1037/0021-9010.85.4.587
  • Fang D, Wu C, Wu H. Impact of the supervisor on worker safety behavior in construction projects. J Manag Eng. 2015;31(6):04015001. doi:10.1061/(ASCE)ME.1943-5479.0000355
  • Wu X, Liu Q, Zhang L, et al. Prospective safety performance evaluation on construction sites. Accid Anal Prev. 2015;78:58–72. doi:10.1016/j.aap.2015.02.003
  • Zhang P, Li N, Fang D, et al. Supervisor-focused behavior-based safety method for the construction industry: case study in Hong Kong. J Constr Eng Manag. 2017;143(7):05017009. doi:10.1061/(ASCE)CO.1943-7862.0001294
  • Guo BHW, Yiu TW, González VA. Predicting safety behavior in the construction industry: development and test of an integrative model. Saf Sci. 2016;84:1–11. doi:10.1016/j.ssci.2015.11.020
  • DePasquale JP, Geller ES. Critical success factors for behavior-based safety: a study of twenty industry-wide applications. J Saf Res. 1999;30(4):237–249. doi:10.1016/S0022-4375(99)00019-5
  • Zhang M, Fang D. A continuous behavior-based safety strategy for persistent safety improvement in construction industry. Autom Constr. 2013;34:101–107. doi:10.1016/j.autcon.2012.10.019
  • Li H, Lu M, Hsu S-C, et al. Proactive behavior-based safety management for construction safety improvement. Saf Sci. 2015;75:107–117. doi:10.1016/j.ssci.2015.01.013
  • Christian MS, Bradley JC, Wallace JC, et al. Workplace safety: a meta-analysis of the roles of person and situation factors. J Appl Psychol. 2009;94(5):1103–1127. doi:10.1037/a0016172
  • Siu OL, Phillips DR, Leung TW. Age differences in safety attitudes and safety performance in Hong Kong construction workers. J Saf Res. 2003;34(2):199–205. doi:10.1016/S0022-4375(02)00072-5
  • Chan AP, Javed AA, Wong FK, et al. Evaluating the safety climate of ethnic minority construction workers in Hong Kong. J Prof Issues Eng Educ Pract. 2017;143(4):04017006. doi:10.1061/(ASCE)EI.1943-5541.0000333
  • Jitwasinkul B, Hadikusumo BHW, Memon AQ. A Bayesian belief network model of organizational factors for improving safe work behaviors in Thai construction industry. Saf Sci. 2016;82:264–273. doi:10.1016/j.ssci.2015.09.027
  • Fang D, Wu H. Development of a safety culture interaction (SCI) model for construction projects. Saf Sci. 2013;57(8):138–149. doi:10.1016/j.ssci.2013.02.003
  • Eid J, Mearns KJ, Larsson G, et al. Leadership, psychological capital and safety research: conceptual issues and future research questions. Saf Sci. 2012;50(1):55–61. doi:10.1016/j.ssci.2011.07.001
  • Wang D, Wang X, Xia N. How safety-related stress affects workers’ safety behavior: the moderating role of psychological capital. Saf Sci. 2018;103:247–259. doi:10.1016/j.ssci.2017.11.020
  • Leung M, Chan IYS, Yu J. Preventing construction worker injury incidents through the management of personal stress and organizational stressors. Accid Anal Prev. 2012;48:156–166. doi:10.1016/j.aap.2011.03.017
  • He C, Jia G, McCabe B, et al. Impact of psychological capital on construction worker safety behavior: communication competence as a mediator. J Saf Res. 2019;71:231–241. doi:10.1016/j.jsr.2019.09.007
  • Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi:10.1016/0749-5978(91)90020-T
  • Clark AE, Oswald AJ, Warr PB. Is job satisfaction U-shaped in age? J Occup Organ Psychol. 1996;69(1):57–81. doi:10.1111/j.2044-8325.1996.tb00600.x
  • McCabe BY, Alderman E, Chen Y, et al. Safety performance in the construction industry: quasi-longitudinal study. J Constr Eng Manag. 2017;143(4):04016113. doi:10.1061/(ASCE)CO.1943-7862.0001260
  • Kanfer R, Ackerman PL. Aging, adult development, and work motivation. Acad Manag Rev. 2004;29(3):440–458. doi:10.2307/20159053
  • Ng TWH, Feldman DC. The relationships of age with job attitudes: a meta-analysis. Pers Psychol. 2010;63(3):677–718. doi:10.1111/j.1744-6570.2010.01184.x
  • Neal A, Griffin MA, Hart P. The impact of organizational climate on safety climate and individual behavior. Saf Sci. 2000;34(1):99–109. doi:10.1016/S0925-7535(00)00008-4
  • Ellemers N, De Gilder D, Haslam SA. Motivating individuals and groups at work: a social identity perspective on leadership and group performance. Acad Manag Rev. 2004;29(3):459–478. doi:10.2307/20159054
  • He C, Jia G, McCabe B, et al. Relationship between leader–member exchange and construction worker safety behavior: the mediating role of communication competence. Int J Occup Saf Ergon. 2021;27(2):371–383.
  • He C, McCabe B, Jia G, et al. Effects of safety climate and safety behavior on safety outcomes between supervisors and construction workers. J Constr Eng Manag. 2020;146(1):04019092. doi:10.1061/(ASCE)CO.1943-7862.0001735
  • Luthans F, Luthans K W, Luthans BC. Positive psychological capital: beyond human and social capital. Bus Horiz. 2004;47(1):45–50. doi:10.1016/j.bushor.2003.11.007
  • Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometrica. 1979;47(2):263–292. doi:10.2307/1914185
  • Abowitz DA, Toole TM. Mixed method research: fundamental issues of design: validity, and reliability in construction research. J Constr Eng Manag. 2009;136(1):108–116. doi:10.1061/(ASCE)CO.1943-7862.0000026
  • Adams JS. Towards an understanding of inequity. J Abnorm Soc Psychol. 1963;67(5):422–436. doi:10.1037/h0040968
  • Smith ER, Conrey FR. Agent-based modeling: a new approach for theory building in social psychology. Personal Soc Psychol Rev. 2007;11(1):87–104. doi:10.1177/1088868306294789
  • Goh YM, Ali MJA. A hybrid simulation approach for integrating safety behavior into construction planning: an earthmoving case study. Accid Anal Prev. 2016;93:310–318. doi:10.1016/j.aap.2015.09.015
  • Choi B, Lee S. An empirically based agent-based model of the sociocognitive process of construction workers’ safety behavior. J Constr Eng Manag. 2018;144(2):04017102. doi:10.1061/(ASCE)CO.1943-7862.0001421
  • Wilensky U. NetLogo [Internet]. Evanston (IL): Center for Connected Learning and Computer-Based Modeling, Northwestern University; [cited 2020 Nov 26]. Available from: http://ccl.northwestern.edu/netlogo
  • Tversky A, Kahneman D. Advances in prospect theory: cumulative representation of uncertainty. J Risk Uncertain. 1992;5(4):297–323. doi:10.1007/BF00122574
  • Zeigler BP, Kim TG, Praehofer H. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. San Diego (CA): Academic Press; 2000.
  • Ahn S, Lee S. Methodology for creating empirically supported agent-based simulation with survey data for studying group behavior of construction workers. J Constr Eng Manag. 2015;141(1):04014065. doi:10.1061/(ASCE)CO.1943-7862.0000918
  • Sa J, Seo D-C, Choi SD. Comparison of risk factors for falls from height between commercial and residential roofers. J Saf Res. 2009;40(1):1–6. doi:10.1016/j.jsr.2008.10.010
  • Axtell RL, Epstein JM. Agent-based modeling: understanding our creations. Bull Santa Fe Inst. 1994;9(2):28–32.
  • Law AM. Simulation modeling and analysis. New York (NY): McGraw-Hill Education; 2013.
  • Nielsen A. Practical time series analysis: prediction with statistics and machine learning. Sebastopol (CA): O'Reilly Media; 2019.
  • Almazrouee AI, Almeshal AM, Almutairi AS, et al. Long-term forecasting of electrical loads in Kuwait using prophet and Holt–Winters models. Appl Sci. 2020;10(16):5627. doi:10.3390/app10165627
  • Liu C, Sun B, Zhang C, et al. A hybrid prediction model for residential electricity consumption using Holt–Winters and extreme learning machine. Appl Energy. 2020;275:115383.
  • Marín LS, Roelofs C. Promoting construction supervisors’ safety-efficacy to improve safety climate: training intervention trial. J Constr Eng Manag. 2017;143(8):04017037. doi:10.1061/(ASCE)CO.1943-7862.0001330
  • Hänecke K, Tiedemann S, Nachreiner F, et al. Accident risk as a function of hour at work and time of day as determined from accident data and exposure models for the German working population. Scand J Work Environ Health. 1998;24(Suppl 3):43–48.

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