Abstract

While researchers have dispensed considerable effort in the past decades to reduce the risk of occupational injuries in the construction industry, the large amount of safety incidents occurring each year indicate that many of the safety interventions and technological advances have not fully achieved their safety goals. This fact suggests the possibility of a latent side effect of safety interventions, known as risk compensation. Since no study has empirically examined the risk-taking behaviors of workers as a function of the number and type of safety interventions in place for their protection, this research examined whether the concept of risk compensation could offset some safety benefits of protection equipment. An immersive mixed-reality environment (i.e., virtual reality and passive haptics) was developed to simulate a roofing activity. Then, combining real-time head- and ankle-tracking sensors with qualitative sources of data, the authors monitored the reactionary behavioral responses of participants while they completed roofing tasks under three, randomly ordered levels of safety protection in the mixed-reality roofing simulation. The results indicated that providing more safety interventions (i.e., higher levels of fall protection) produced a sense of invulnerability among participants. This false sense of security ultimately increased their risk-taking behavior by up to 55%: participants stepped closer to the roof edge, leaned over the edge, and spent more time exposing themselves to fall risk. Although this study used students as unskilled roofing workers, it provides an initial empirical understanding of how more safety protections might implicitly signal workers to take additional risks—an effect of risk compensation. These findings could significantly influence how the construction industry approaches the development and implementation of safety interventions to offset the influence of risk compensation.

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Data Availability Statement

All data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

The authors wish to thank the Visionarium Lab, Dr. Nicholas F. Polys, Dr. Lance Arsenault, and Dr. Joseph L. Gabbard for their considerable and vital support in this study.

References

Albert, A., M. R. Hallowell, B. Kleiner, A. Chen, and M. Golparvar-Fard. 2014. “Enhancing construction hazard recognition with high-fidelity augmented virtuality.” J. Constr. Eng. Manage. 140 (7): 04014024. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000860.
Assum, T., T. Bjørnskau, S. Fosser, and F. Sagberg. 1999. “Risk compensation—The case of road lighting.” Accid. Anal. Prev. 31 (5): 545–553. https://doi.org/10.1016/S0001-4575(99)00011-1.
Bianchi, G., O. Brügger, S. Niemann, and M. Cavegn. 2011. “Helmet use and self-reported risk taking in skiing and snowboarding.” In Vol. 18 of Proc., Skiing Trauma and Safety. Reston, VA: ASTM.
Biasca, N., S. Wirth, and Y. Tegner. 2002. “The avoidability of head and neck injuries in ice hockey: An historical review.” Br. J. Sports Med. 36 (6): 410–427. https://doi.org/10.1136/bjsm.36.6.410.
BLS (Bureau of Labor Statistics). 2017. “National census of fatal occupational injuries in 2016.” Accessed April 23, 2018. https://www.bls.gov/news.release/pdf/cfoi.pdf.
Bosché, F., M. Abdel-Wahab, and L. Carozza. 2015. “Towards a mixed reality system for construction trade training.” J. Comput. Civ. Eng. 30 (2): 04015016. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000479.
Braun, C. C., and J. W. Foust. 1998. “Behavioral response to the presence of personal protective equipment: Implications for risk compensation.” In Proc., Human Factors and Ergonomics Society Annual Meeting, 1058–1062. Los Angeles: SAGE Publications.
Charness, G., U. Gneezy, and M. A. Kuhn. 2012. “Experimental methods: Between-subject and within-subject design.” J. Econ. Behav. Org. 81 (1): 1–8. https://doi.org/10.1016/j.jebo.2011.08.009.
Cheng, T., and J. Teizer. 2013. “Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications.” Autom. Constr. 34 (Sep): 3–15. https://doi.org/10.1016/j.autcon.2012.10.017.
Choudhry, R. M., and D. Fang. 2008. “Why operatives engage in unsafe work behavior: Investigating factors on construction sites.” Saf. Sci. 46 (4): 566–584. https://doi.org/10.1016/j.ssci.2007.06.027.
Cohen, A., and R. Dehejia. 2004. “The effect of automobile insurance and accident liability laws on traffic fatalities.” J. Law Econ. 47 (2): 357–393. https://doi.org/10.1086/422978.
Cruz-Neira, C., D. J. Sandin, and T. A. DeFanti. 1993. “Surround-screen projection-based virtual reality: The design and implementation of the CAVE.” In Proc., 20th Annual Conf. on Computer Graphics and Interactive Techniques, 135–142. New York: Association for Computing Machinery. https://doi.org/10.1145/166117.166134.
DiLillo, D., and G. Tremblay. 2001. “Maternal and child reports of behavioral compensation in response to safety equipment usage.” J. Pediatr. Psychol. 26 (3): 175–184. https://doi.org/10.1093/jpepsy/26.3.175.
Dong, X. S., R. Jackson, D. Varda, E. Betit, and J. Bunting. 2019. Trends of fall injuries and prevention in the construction industry. Silver Spring, MD: Center for Construction Research and Training.
Esmaeili, B., and M. R. Hallowell. 2011. “Diffusion of safety innovations in the construction industry.” J. Constr. Eng. Manage. 138 (8): 955–963. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000499.
Feng, Y. 2013. “Effect of safety investments on safety performance of building projects.” Saf. Sci. 59 (Nov): 28–45. https://doi.org/10.1016/j.ssci.2013.04.004.
Feng, Y., and P. Wu. 2015. “Risk compensation behaviours in construction workers’ activities.” Int. J. Inj. Control Saf. Promotion 22 (1): 40–47. https://doi.org/10.1080/17457300.2013.844714.
Feng, Y., P. Wu, G. Ye, and D. Zhao. 2017. “Risk-compensation behaviors on construction sites: Demographic and psychological determinants.” J. Manage. Eng. 33 (4): 04017008. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000520.
Fowler, S. P., K. Williams, R. G. Resendez, K. J. Hunt, H. P. Hazuda, and M. P. Stern. 2008. “Fueling the obesity epidemic? Artificially sweetened beverage use and long-term weight gain.” Obesity 16 (8): 1894–1900. https://doi.org/10.1038/oby.2008.284.
Fyhri, A., and R. O. Phillips. 2013. “Emotional reactions to cycle helmet use.” Accid. Anal. Prev. 50 (Jan): 59–63. https://doi.org/10.1016/j.aap.2012.03.027.
Garbaya, S., and U. Zaldivar-Colado. 2007. “The affect of contact force sensations on user performance in virtual assembly tasks.” Virtual Reality 11 (4): 287–299. https://doi.org/10.1007/s10055-007-0075-5.
Guo, H., H. Li, G. Chan, and M. Skitmore. 2012. “Using game technologies to improve the safety of construction plant operations.” Accid. Anal. Prev. 48 (Sep): 204–213. https://doi.org/10.1016/j.aap.2011.06.002.
Gupta, S. K., D. Anand, J. E. Brough, R. Kavetsky, M. Schwartz, and A. Thakur. 2008 “A survey of the virtual environments-based assembly training applications.” In Proc., Virtual Manufacturing Workshop, 1–10. Turin, Italy: Virtual Reality in Industry and Society. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.151.2892&rep=rep1&type=pdf.
Gutierrez, M., F. Vexo, and D. Thalmann. 2008. Stepping into virtual reality. New York: Springer.
Hasanzadeh, S., and J. M. de la Garza. 2019 “Understanding roofer’s risk compensatory behavior through passive haptics mixed-reality system.” In Proc., Int. Workshop on Computing in Civil Engineering (IWCCE 2019), 137–145. Reston, VA: ASCE. https://doi.org/10.1061/9780784482421.018.
Hasanzadeh, S., B. Esmaeili, and M. D. Dodd. 2017. “Impact of construction workers’ hazard identification skills on their visual attention.” J. Constr. Eng. Manage. 143 (10): 04017070. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001373.
Hasanzadeh, S., B. Esmaeili, and M. D. Dodd. 2018. “Examining the relationship between construction workers’ visual attention and situation awareness under fall and tripping hazard conditions: Using mobile eye tracking.” J. Constr. Eng. Manage. 144 (7): 04018060. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001516.
Hoffman, H. G., A. Hollander, K. Schroder, S. Rousseau, and T. Furness. 1998. “Physically touching and tasting virtual objects enhances the realism of virtual experiences.” Virtual Reality 3 (4): 226–234. https://doi.org/10.1007/BF01408703.
Hsiao, H., P. Simeonov, B. Dotson, D. Ammons, T.-Y. Kau, and S. Chiou. 2005. “Human responses to augmented virtual scaffolding models.” Ergonomics 48 (10): 1223–1242. https://doi.org/10.1080/00140130500197112.
Janicak, C. A. 1998. “Fall-related deaths in the construction industry.” J. Saf. Res. 29 (1): 35–42. https://doi.org/10.1016/S0022-4375(97)00027-3.
Karakhan, A., and J. Gambatese. 2018. “Hazards and risk in construction and the impact of incentives and rewards on safety outcomes.” Pract. Period. Struct. Des. Constr. 23 (2): 04018005. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000359.
Keshner, E. A. 2004. “Virtual reality and physical rehabilitation: A new toy or a new research and rehabilitation tool?.” J. NeuroEngineering Rehabil. 1: 8. https://doi.org/10.1186/1743-0003-1-8.
Le, Q. T., A. Pedro, and C. S. Park. 2015. “A social virtual reality based construction safety education system for experiential learning.” J. Intell. Rob. Syst. 79 (3–4): 487–506. https://doi.org/10.1007/s10846-014-0112-z.
Lewis-Evans, B., and S. G. Charlton. 2006. “Explicit and implicit processes in behavioural adaptation to road width.” Accid. Anal. Prev. 38 (3): 610–617. https://doi.org/10.1016/j.aap.2005.12.005.
Lipscomb, H. J., J. Glazner, J. Bondy, D. Lezotte, and K. Guarini. 2004. “Analysis of text from injury reports improves understanding of construction falls.” J. Occup. Environ. Med. 46 (11): 1166–1173. https://doi.org/10.1097/01.jom.0000141769.48553.1b.
Martin, N. A. A., V. Mittelstädt, M. Prieur, R. Stark, and T. Bär. 2013. “Passive haptic feedback for manual assembly simulation.” Procedia CIRP 7 (Jan): 509–514. https://doi.org/10.1016/j.procir.2013.06.024.
Maxwell, S. E., and H. D. Delaney. 2003. Designing experiments and analyzing data: A model comparison perspective. London: Routledge.
Mok, D., G. Gore, B. Hagel, E. Mok, H. Magdalinos, and B. Pless. 2004. “Risk compensation in children’s activities: A pilot study.” Paediatrics Child Health 9 (5): 327–330. https://doi.org/10.1093/pch/9.5.327.
Morrongiello, B. A., and J. Lasenby-Lessard. 2007. “Psychological determinants of risk taking by children: An integrative model and implications for interventions.” Inj. Prev. 13 (1): 20–25. https://doi.org/10.1136/ip.2005.011296.
Morrongiello, B. A., and K. Major. 2002. “Influence of safety gear on parental perceptions of injury risk and tolerance for children’s risk taking.” Inj. Prev. 8 (1): 27–31. https://doi.org/10.1136/ip.8.1.27.
Morrongiello, B. A., B. Walpole, and J. Lasenby. 2007. “Understanding children’s injury-risk behavior: Wearing safety gear can lead to increased risk taking.” Accid. Anal. Prev. 39 (3): 618–623. https://doi.org/10.1016/j.aap.2006.10.006.
Napier, V., C. S. C. Findley, and D. R. Self. 2007. “Risk homeostasis: A case study of the adoption of a safety innovation on the level of perceived risk.” In Proc., documento presentado en un encuentro de la American Society of Business and Behavioral Sciences, 22. Reston, VA: ASCE.
Peltzman, S. 1975. “The effects of automobile safety regulation.” J. Political Econ. 83 (4): 677–725. https://doi.org/10.1086/260352.
Perlman, A., R. Sacks, and R. Barak. 2014. “Hazard recognition and risk perception in construction.” Saf. Sci. 64 (Apr): 22–31. https://doi.org/10.1016/j.ssci.2013.11.019.
Piccinini, G. F. B., C. M. Rodrigues, M. Leitão, and A. Simões. 2014. “Driver’s behavioral adaptation to Adaptive Cruise Control (ACC): The case of speed and time headway.” J. Saf. Res. 49 (Jun): 77–84. https://doi.org/10.1016/j.jsr.2014.02.010.
Pinkerton, S. D. 2001. “Sexual risk compensation and HIV/STD transmission: Empirical evidence and theoretical considerations.” Risk Anal. 21 (4): 727–736. https://doi.org/10.1111/0272-4332.214146.
Richens, J., J. Imrie, and A. Copas. 2000. “Condoms and seat belts: The parallels and the lessons.” Lancet 355 (9201): 400–403. https://doi.org/10.1016/S0140-6736(99)09109-6.
Rivara, F. P., and D. C. Thompson. 2000. “Prevention of falls in the construction industry: Evidence for program effectiveness.” Am. J. Prev. Med. 18 (4): 23–26. https://doi.org/10.1016/S0749-3797(00)00137-9.
Sagberg, F., S. Fosser, and I.-A. F. Sætermo. 1997. “An investigation of behavioural adaptation to airbags and antilock brakes among taxi drivers.” Accid. Anal. Prev. 29 (3): 293–302. https://doi.org/10.1016/S0001-4575(96)00083-8.
Scott, M. D., D. B. Buller, P. A. Andersen, B. J. Walkosz, J. H. Voeks, M. B. Dignan, and G. R. Cutter. 2007. “Testing the risk compensation hypothesis for safety helmets in alpine skiing and snowboarding.” Inj. Prev. 13 (3): 173–177. https://doi.org/10.1136/ip.2006.014142.
Shin, M., H.-S. Lee, M. Park, M. Moon, and S. Han. 2014. “A system dynamics approach for modeling construction workers’ safety attitudes and behaviors.” Accid. Anal. Prev. 68 (Jul): 95–105. https://doi.org/10.1016/j.aap.2013.09.019.
Stanton, N. A., and M. Pinto. 2000. “Behavioural compensation by drivers of a simulator when using a vision enhancement system.” Ergonomics 43 (9): 1359–1370. https://doi.org/10.1080/001401300421806.
Streff, F. M., and E. S. Geller. 1988. “An experimental test of risk compensation: Between-subject versus within-subject analyses.” Accid. Anal. Prev. 20 (4): 277–287. https://doi.org/10.1016/0001-4575(88)90055-3.
Trimpop, R. M. 1996. “Risk homeostasis theory: Problems of the past and promises for the future.” Saf. Sci. 22 (1–3): 119–130. https://doi.org/10.1016/0925-7535(96)00010-0.
Tymula, A., L. A. R. Belmaker, A. K. Roy, L. Ruderman, K. Manson, P. W. Glimcher, and I. Levy. 2012. “Adolescents’ risk-taking behavior is driven by tolerance to ambiguity.” Proc. Natl. Acad. Sci. 109 (42): 17135–17140. https://doi.org/10.1073/pnas.1207144109.
Viscusi, W. K., and G. Cavallo. 1996. “Safety behavior and consumer responses to cigarette lighter safety mechanisms.” Managerial Decis. Econ. 17 (5): 441–457. https://doi.org/10.1002/(SICI)1099-1468(199609)17:5%3C441::AID-MDE787%3E3.0.CO;2-4.
Wang, J., P. X. Zou, and P. P. Li. 2016. “Critical factors and paths influencing construction workers’ safety risk tolerances.” Accid. Anal. Prev. 93 (Aug): 267–279. https://doi.org/10.1016/j.aap.2015.11.027.
Wilde, G. J. 1982. “The theory of risk homeostasis: Implications for safety and health.” Risk Anal. 2 (4): 209–225. https://doi.org/10.1111/j.1539-6924.1982.tb01384.x.
Yuen, K., S. Choi, and X. Yang. 2010. “A full-immersive CAVE-based VR simulation system of forklift truck operations for safety training.” Comput.-Aided Des. Applic. 7 (2): 235–245. https://doi.org/10.3722/cadaps.2010.235-245.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 146Issue 5May 2020

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Received: May 28, 2019
Accepted: Oct 11, 2019
Published online: Feb 22, 2020
Published in print: May 1, 2020
Discussion open until: Jul 22, 2020

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Sogand Hasanzadeh, S.M.ASCE [email protected]
Ph.D. Candidate, Charles E. Via, Jr. Dept. of Civil and Environmental Engineering, Virginia Tech., 121 Patton Hall, Blacksburg, VA 24061 (corresponding author). Email: [email protected]
Professor and Chair, Glenn Dept. of Civil Engineering, Clemson Univ., 121 Lowry Hall, Clemson, SC 29634-0911. ORCID: https://orcid.org/0000-0003-4929-8883. Email: [email protected]
E. Scott Geller [email protected]
Professor, Dept. of Psychology, Virginia Tech., Blacksburg, VA 24061. Email: [email protected]

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