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Research Article

Working under the Shadow of Drones: Investigating Occupational Safety Hazards among Commercial Drone Pilots

ORCID Icon & ORCID Icon
Pages 55-67 | Received 21 Mar 2023, Accepted 19 Aug 2023, Published online: 05 Sep 2023

References

  • Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459.https://doi.org/10.1002/wics.101
  • Alwateer, M., Loke, S. W., & Zuchowicz, A. M. (2019). Drone services: Issues in drones for location-based services from human-drone interaction to information processing. Journal of Location Based Services, 13(2), 94–127.https://doi.org/10.1080/17489725.2018.1564845
  • American Society of Safety Professionals. (n.d). The ASSP Community. https://community.assp.org/home
  • Andrews, R. W., Lilly, J. M., Srivastava, D., & Feigh, K. M. (2023). The role of shared mental models in human-AI teams: A theoretical review. Theoretical Issues in Ergonomics Science, 24(2), 129–175.https://doi.org/10.1080/1463922X.2022.2061080
  • Antunano, M. J. (2005). Spatial disorientation (Report No. AM-400 03/1). Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/39656
  • Arnold, A. E. G. F., Burles, F., Krivoruchko, T., Liu, I., Rey, C. D., Levy, R. M., & Iaria, G. (2013). Cognitive mapping in humans and its relationship to other orientation skills. Experimental Brain Research, 224(3), 359–372. https://doi.org/10.1007/s00221-012-3316-0
  • Arrabito, G. R., Ho, G., Lambert, A., Rutley, M., Keillor, J., Chiu, A., Au, H., & Hou, M. (2010). Human factors issues for controlling uninhabited aerial vehicles: Preliminary findings in support of the Canadian forces joint unmanned aerial vehicle surveillance target acquisition system (Tech. Rep. No. TR-2009-043). Defense Research and Development Canada. https://apps.dtic.mil/sti/pdfs/ADA543186.pdf
  • Arrabito, G. R., Hou, M., Banbury, S., Martin, B. C. W., Ahmad, F., & Fang, S. (2021). A review of human factors research performed from 2014 to 2017 in support of the Royal Canadian Air Force remotely piloted aircraft system project. Journal of Unmanned Vehicle Systems, 9(1), 1–20.https://doi.org/10.1139/juvs-2020-0012
  • Arterburn, D. R., Duling, C. T., & Goli, N. R. (2017). Ground collision severity standards for UAS operating in the National Airspace System (NAS) [Paper presentation]. 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver, CO, United States. https://doi.org/10.2514/6.2017-3778
  • Bais, F., Schouten, B., & Toepoel, V. (2020). Investigating response patterns across surveys: Do respondents show consistency in undesirable answer behaviour over multiple surveys? Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 147-148(1-2), 150–168.https://doi.org/10.1177/0759106320939891
  • Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77–85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
  • Bernauw, K. (2016). Drones: The emerging era of unmanned civil aviation. Zbornik Pravnog Fakulteta u Zagrebu, 66(2-3), 223–248. https://hrcak.srce.hr/157605
  • Campolettano, E. T., Bland, M. L., Gellner, R. A., Sproule, D. W., Rowson, B., Tyson, A. M., Duma, S. M., & Rowson, S. (2017). Ranges of injury risk associated with impact from unmanned aircraft systems. Annals of Biomedical Engineering, 45(12), 2733–2741. https://doi.org/10.1007/s10439-017-1921-6
  • Cardosi, K., & Lennerts, T. (2017). Human factors considerations for the integration of unmanned aerial vehicles in the National Airspace System: An analysis of reports submitted to the Aviation Safety Reporting System (ASRS). (Report No. DOT/FAA/TC-17/25). U.S. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/12500
  • Chao, Y.-S., Wu, H.-C., Wu, C.-J., & Chen, W.-C. (2018). Principal component approximation and interpretation in health survey and biobank data. Frontiers in Digital Humanities, 5, 11.https://doi.org/10.3389/fdigh.2018.00011
  • Choi, H. H. (2021). Delivery drones: Inapt for application of current negligence theory. Journal of Air Law and Commerce, 86(3), 435–466. https://scholar.smu.edu/jalc/vol86/iss3/11
  • Coenen, F., Leng, P., & Zhang, L. (2005). Threshold tuning for improved classification association rule mining. In T. B. Ho, D. Cheung, & H. Liu (Eds.), Advances in knowledge discovery and data mining (pp. 216–225). Springer. https://doi.org/10.1007/11430919_27
  • CommercialDronePilots. (n.d). Commercial drone forums. https://commercialdronepilots.com/
  • Cox, S., & Cox, T. (1991). The structure of employee attitudes to safety: A European example. Work & Stress, 5(2), 93–106.https://doi.org/10.1080/02678379108257007
  • De Croon, G., & De Wagter, C. (2018). Challenges of autonomous flight in indoor environments [Paper presentation]. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain. https://ieeexplore.ieee.org/document/8593704
  • Fernando, A. V. (2017). Survey of sUAS unintended flight termination as depicted in internet video. Journal of Unmanned Vehicle Systems, 5(3), 109–114.https://doi.org/10.1139/juvs-2017-0007
  • French, B., Duenser, A., & Heathcote, A. (2018). Trust in automation: A literature review. (Report No. EP184082). Commonwealth Scientific and Industrial Research Organisation (CSIRO).
  • Gao, M., Hugenholtz, C. H., Fox, T. A., Kucharczyk, M., Barchyn, T. E., & Nesbit, P. R. (2021). Weather constraints on global drone flyability. Scientific Reports, 11(1), 12092.https://doi.org/10.1038/s41598-021-91325-w
  • Griffin, M. A., & Hu, X. (2013). How leaders differentially motivate safety compliance and safety participation: The role of monitoring, inspiring, and learning. Safety Science, 60, 196–202.https://doi.org/10.1016/j.ssci.2013.07.019
  • Griffin, M. A., & Neal, A. (2000). Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation. Journal of Occupational Health Psychology, 5(3), 347–358. https://doi.org/10.1037/1076-8998.5.3.347
  • Guadagnoli, E., & Velicer, W. F. (1988). Relation of sample size to the stability of component patterns. Psychological Bulletin, 103(2), 265–275. https://doi.org/10.1037/0033-2909.103.2.265
  • Helmreich, R. L. (1999). Building safety on the three cultures of aviation. In Proceedings of the IATA Human Factors Seminar (pp. 39–43).
  • Hikmawati, E., Maulidevi, N. U., & Surendro, K. (2021). Minimum threshold determination method based on dataset characteristics in association rule mining. Journal of Big Data, 8(1), 146. https://doi.org/10.1186/s40537-021-00538-3
  • Hobbs, A., & Lyall, B. (2016). Human factors guidelines for remotely piloted aircraft system (RPAS) remote pilot stations (RPS). (Report No. ARC-E-DAA-TN34128). National Aeronautics and Space Administration. https://ntrs.nasa.gov/api/citations/20190000211/downloads/20190000211.pdf
  • Hoem, Å. S., Johnsen, S. O., Fjørtoft, K., Rødseth, Ø. J., Jenssen, G., & Moen, T. (2021). Improving safety by learning from automation in transport systems with a focus on sensemaking and meaningful human control. In S. O. Johnsen & T. Porathe (Eds.), Sensemaking in safety critical and complex situations human factors and design (pp. 191–207). CRC Press. https://doi.org/10.1201/9781003003816
  • Howard, J., Murashov, V., & Branche, C. M. (2018). Unmanned aerial vehicles in construction and worker safety. American Journal of Industrial Medicine, 61(1), 3–10. https://doi.org/10.1002/ajim.22782
  • Irimia, A., Gaman, G. A., Pupazan, D., Ilie, C., & Nicolescu, C. (2019). Using drones in support of rescue interventions teams in toxic/flammable/explosive environments. Environmental Engineering and Management Journal, 18(4), 831–837. http://www.eemj.icpm.tuiasi.ro/pdfs/vol18/full/no4/8_285_Irimia_18.pdf https://doi.org/10.30638/eemj.2019.079
  • Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
  • Karagiannis, P., Togias, T., Michalos, G., & Makris, S. (2021). Operators training using simulation and VR technology. Procedia CIRP, 96, 290–294.https://doi.org/10.1016/j.procir.2021.01.089
  • Kasprzyk, P. J., & Konert, A. (2021). Reporting and investigation of Unmanned Aircraft Systems (UAS) accidents and serious incidents. Regulatory perspective. Journal of Intelligent & Robotic Systems, 103(1), 3.https://doi.org/10.1007/s10846-021-01447-6
  • Khosiawan, Y., & Nielsen, I. (2016). A system of UAV application in indoor environment. Production & Manufacturing Research, 4(1), 2–22.https://doi.org/10.1080/21693277.2016.1195304
  • Koerner, M. R. (2015). Drones and the Fourth Amendment: Redefining expectations of privacy. Duke Law Journal, 64(3), 1129–1172. http://scholarship.law.duke.edu/dlj/vol64/iss6/3
  • Lamb, T. (2017). Developing a safety culture for remotely piloted aircraft systems operations: To boldly go where no drone has gone before [Paper presentation].SPE Health, Safety, Security, Environment, & Social Responsibility Conference - North America, New Orleans, LA, United States.https://doi.org/10.2118/184476-MS
  • Lamb, T. (2019). The changing face of airmanship and safety culture operating unmanned aircraft systems. In T. Kille, P. Bates, & S. Lee (Eds.), Unmanned aerial vehicles in civilian logistics and supply chain management (pp. 243–265). IGI Global. https://doi.org/10.4018/978-1-5225-7900-7.ch009
  • Larose, D. T., & Larose, C. D. (2014). Association rules. In D. T. Larose (Ed.), Discovering knowledge in data: An introduction to data mining (pp. 247–264). Wiley.
  • Lawlor, J., Thomas, C., Guhin, A. T., Kenyon, K., Lerner, M. D., & Drahota, A, UCAS Consortium. (2021). Suspicious and fraudulent online survey participation: Introducing the REAL framework. Methodological Innovations, 14(3), 205979912110504.https://doi.org/10.1177/20597991211050467
  • Lee, Y.-C., Huang, C.-H., Lin, Y.-C., & Wu, H.-H. (2017). Association rule mining to identify critical demographic variables influencing the degree of burnout in a regional teaching hospital. TEM Journal, 6(3), 497–502. https://www.temjournal.com/content/63/TemJournalAugust2017_497_502.pdf
  • Lever, J., Krzywinski, M., & Altman, N. (2017). Principal component analysis. Nature Methods, 14(7), 641–642. https://doi.org/10.1038/nmeth.4346
  • Li, S., Cummings, M. L., & Welton, B. (2022). Assessing the impact of autonomy and overconfidence in UAV first-person view training. Applied Ergonomics, 98, 103580. https://doi.org/10.1016/j.apergo.2021.103580
  • Luppicini, R., & So, A. (2016). A technoethical review of commercial drone use in the context of governance, ethics, and privacy. Technology in Society, 46, 109–119.https://doi.org/10.1016/j.techsoc.2016.03.003
  • Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17(3), 437–455. https://doi.org/10.1037/a0028085
  • Mukhamediev, R. I., Symagulov, A., Kuchin, Y., Zaitseva, E., Bekbotayeva, A., Yakunin, K., Assanov, I., Levashenko, V., Popova, Y., Akzhalova, A., Bastaubayeva, S., & Tabynbaeva, L. (2021). Review of some applications of unmanned aerial vehicles technology in the resource-rich country. Applied Sciences, 11(21), 10171.https://doi.org/10.3390/app112110171
  • Namian, M., Khalid, M., Wang, G., & Turkan, Y. (2021). Revealing safety risks of unmanned aerial vehicles in construction. Transportation Research Record: Journal of the Transportation Research Board, 2675(11), 334–347.https://doi.org/10.1177/03611981211017134
  • Occupational Safety and Health Administration (OSHA). (2018). OSHA’s use of unmanned aircraft systems in inspections. OSHA Archive, U.S. Department of Labor.
  • ECFR (2016). Part 107- Small Unmanned Aircraft Systems, 14 C.F.R. § 107. https://www.ecfr.gov/current/title-14/chapter-I/subchapter-F/part-107
  • Princeton University. (n.d). Indoor Safety Guidelines. https://drones.princeton.edu/sites/g/files/toruqf1701/files/indoor_safety_guidelines.pdf
  • Qualtrics. (n.d). Qualtrics XM: The leading experience management software. https://www.qualtrics.com/
  • Rahmani, H. (2019). Traveling salesman problem with single truck and multiple drones for delivery purposes. [Master’s thesis]. Ohio University. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1563894245160348
  • Rojas-Valverde, D., Pino-Ortega, J., Gómez-Carmona, C. D., & Rico-González, M. (2020). A systematic review of methods and criteria standard proposal for the use of principal component analysis in team’s sports science. International Journal of Environmental Research and Public Health, 17(23), 8712. https://doi.org/10.3390/ijerph17238712
  • SkydioPilots. (n.d). General Forums. https://skydiopilots.com/
  • Smith, A. N. (2019). Finite element analysis of traumatic brain injury due to small unmanned aircraft system impacts on the human head. [Master’s thesis]. Mississippi State University. Scholars Junction. https://scholarsjunction.msstate.edu/td/2286
  • Smith, A., Dickinson, J. E., Marsden, G., Cherrett, T., Oakey, A., & Grote, M. (2022). Public acceptance of the use of drones for logistics: The state of play and moving towards more informed debate. Technology in Society, 68, 101883.https://doi.org/10.1016/j.techsoc.2022.101883
  • State of Minnesota Department of Transportation, Office of Aeronautics. (2023). Commercial operators listing [Data set]. Minnesota Department of Transportation. https://www.dot.state.mn.us/aero/documents/aviationbusinesses/unmannedaerialvehicle.pdf
  • The American National Standards Institute (ANSI). (2018). ANSI standardization roadmap for unmanned aircraft systems published. https://www.ansi.org/news/standards-news/all-news/2018/12/ansi-standardization-roadmap-for-unmanned-aircraft-systems-published-20
  • The National Institute for Occupational Safety and Health (NIOSH). (n.d). Robotics. https://www.cdc.gov/niosh/topics/robotics/aboutthecenter.html
  • Tran, T.-H., & Nguyen, D.-D. (2022). Management and regulation of drone operation in urban environment: A case study. Social Sciences, 11(10), 474. https://doi.org/10.3390/socsci11100474
  • Tvaryanas, A. P., Thompson, W. T., & Constable, S. H. (2005). U.S. military unmanned aerial vehicle mishaps: Assessment of the role of human factors using Human Factors Analysis and Classification System (HFACS). (Report No. HSW-PE-BR-TR-2005-0001). United States Air Force 311th Human Systems Wing.
  • Vacek, J. (2018). Threatening drones: How to answer when your client asks: "Can i shoot down that drone? Aviation Faculty Publications. https://commons.und.edu/avi-fac/51
  • Vagias, W. M. (2006). Likert-type scale response anchors. Clemson International Institute for Tourism & Research Development, Department of Parks, Recreation and Tourism Management. Clemson University.
  • Foreman, V. L., Favaró, F. M., Saleh, J. H., & Johnson, C. W. (2015). Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process. Reliability Engineering & System Safety, 137, 101–111.https://doi.org/10.1016/j.ress.2015.01.006
  • Wild, G., Murray, J., & Baxter, G. (2016). Exploring civil drone accidents and incidents to help prevent potential air disasters. Aerospace, 3(3), 22.https://doi.org/10.3390/aerospace3030022
  • Williams, K. W. (2004). A summary of unmanned aircraft accident/incident data: Human factors implications. (Report No. DOT/FAA/AM-04/24). Federal Aviation Administration. https://apps.dtic.mil/sti/pdfs/ADA460102.pdf
  • Xu, Y., & Turkan, Y. (2022). The development of a safety assessment model for using unmanned aerial systems (UAS) in construction. Safety Science, 155, 105893.https://doi.org/10.1016/j.ssci.2022.105893
  • Young, W., Weckman, G., & Holland, W. (2011). A survey of methodologies for the treatment of missing values within datasets: Limitations and benefits. Theoretical Issues in Ergonomics Science, 12(1), 15–43.https://doi.org/10.1080/14639220903470205
  • Zhen, L., Gao, J., Tan, Z., Wang, S., & Baldacci, R. (2023). Branch-price-and cut for trucks and drones cooperative delivery. IISE Transactions, 55(3), 271–287. https://doi.org/10.1080/24725854.2022.2060535
  • Zwickle, A., Farber, H. B., & Hamm, J. A. (2019). Comparing public concern and support for drone regulation to the current legal framework. Behavioral Sciences & the Law, 37(1), 109–124. https://doi.org/10.1002/bsl.2357