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Work-stress factors associated with truck crashes: An exploratory analysis

Published online by Cambridge University Press:  01 January 2023

Michael H Belzer
Michael H Belzer*
Affiliation:
Wayne State University, USA
*
Michael H Belzer, Department of Economics, Wayne State University, 2127 Faculty Administration Building, 656 W. Kirby, Detroit, MI 48202, USA. Email: Michael.H.Belzer@Wayne.edu
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Abstract

Researchers have studied truck crashes extensively using methods appropriate for behavior, technology, and regulatory enforcement. Few safety studies associate crashes with economic pressure, a pervasive latent influence. This study uses data from the US Large Truck Crash Causation Study to predict truck crashes based on work pressure factors that have their origins in market pressures on motor carriers and truck drivers. Logistic regression shows that factors associated with the work process, including an index of work-pressure attributes, predict the likelihood that crash analysts consider the truck driver to be the person whose last action could have prevented the crash. While not proving causation, the data suggest that economic factors affecting drivers contribute significantly to truck crashes.

Keywords

J28J33L91Commercial motor vehiclescompensationcrasheseconomic pressureheavy goods vehiclessafetystresstruck driverstrucking
Type
Articles
Information
The Economic and Labour Relations Review , Volume 29 , Issue 3: Work and well-being: Setting and upholding standards , September 2018 , pp. 289 - 307
Copyright
© The Author(s) 2018

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References

Abowd, JM, Haltiwanger, JC, Jarmin, R, et al . (2005) The relation among human capital, productivity and market value: building up from micro evidence. In: Corrado, C, Haltiwanger, J, Sichel, D (eds) Measuring Capital in the New Economy (proceedings of a conference held 26–27 April 26–27). Chicago, IL: The University of Chicago Press, pp. 153–204.Google Scholar
Artz, B, Heywood, JS (2015) Performance pay and workplace injury: panel evidence. Economica 82(s1): 1241–1260.Google Scholar
Becker, GS (1975) Human Capital. New York: Columbia University Press.Google Scholar
Belman, DL, Monaco, KA, Brooks, TJ (2005) Sailors of the Concrete Sea: A Portrait of Truck Drivers’ Work and Lives. East Lansing, MI: Michigan State University Press.Google Scholar
Belzer, MH (2000) Sweatshops on Wheels: Winners and Losers in Trucking Deregulation. Oxford; New York: Oxford University Press.Google Scholar
Belzer, MH, Sedo, SA (2018) Why do long distance truck drivers work extremely long hours? The Economic and Labour Relations Review 29(1): 59–79.CrossRefGoogle Scholar
Blower, D, Campbell, KL (2005) Methodology of the large truck crash causation study. In: Blower, D, Campbell, KL (eds) Large Truck Crash Causation Study Analysis Series. Washington, DC: Federal Motor Carrier Safety Administration, pp. 1–10.Google Scholar
Braver, ER, Preusser, CW, Preusser, DF, et al . (1992) Long hours and fatigue: a survey of tractor-trailer drivers. Journal of Public Health Policy 13(3): 341–366.Google ScholarPubMed
Bulow, JI, Summers, LH (1986) A theory of dual labor markets with application to industrial policy, discrimination, and Keynesian unemployment. Journal of Labor Economics 4(3): 376–414.Google Scholar
Burks, SV (1999) The Origins of Parallel Segmented Labor and Product Markets: A Reciprocity-Based Agency Model with an Application to Motor Freight (economics department). Amherst, MA: University of Massachusetts.Google Scholar
Chen, GX, Amandus, H, Wu, NE (2014) Occupational fatalities among driver/sales workers and truck drivers in the United States, 2003-2008. American Journal of Industrial Medicine 57(7): 800–809.CrossRefGoogle ScholarPubMed
Chen, GX, Sieber, WK, Lincoln, JE, et al . (2015) NIOSH national survey of long-haul truck drivers: injury and safety. Accident Analysis and Prevention 85: 66–72.CrossRefGoogle ScholarPubMed
Council, FM, Belzer, MH, Billing, JR, et al . (2003) Letter Report to Federal Motor Carrier Safety Administration Administrator Annette M. Sandberg. Washington, DC: Transportation Research Board. Available at: http://onlinepubs.trb.org/onlinepubs/reports/tccs_sept_2003.pdf (accessed 15 May 2018).Google Scholar
Donaldson, GA (2005) The large truck crash causation study: fundamental problems and issues. 2005 International Truck and Bus Safety and Security Symposium.Google Scholar
Federal Motor Carrier Safety Administration (FMCSA)—US Department of Transportation (2006a) Large Truck Crash Causation Study Analytical User’s Manual. Washington, DC: US Department of Transportation (including appendix).Google Scholar
Federal Motor Carrier Safety Administration (FMCSA)—US Department of Transportation (2006b) Large truck crash causation study codebook. Available at: https://ai.fmcsa.dot.gov/ltccs/data/documents/LTCCS_Codebook.pdf (accessed 16 May 2018).Google Scholar
Federal Motor Carrier Safety Administration (FMCSA)—US Department of Transportation (2006c) Report to congress on the large truck crash causation study. Available at: https://www.fmcsa.dot.gov/safety/research-and-analysis/report-congress-large-truck-crash-causation-study (accessed 16 May 2018)Google Scholar
Federal Motor Carrier Safety Administration (FMCSA)—US Department of Transportation (2006d) The large truck crash causation study. Available at: https://ai.fmcsa.dot.gov/LTCCS/ (accessed 16 May 2018).Google Scholar
Federal Motor Carrier Safety Administration (FMCSA)—US Department of Transportation (2015) Large truck and bus crash facts 2015. Available at: https://www.fmcsa.dot.gov/safety/data-and-statistics/large-truck-and-bus-crash-facts-2015 (accessed 15 May 2018).Google Scholar
Fehr, E, Gächter, S (1998) Reciprocity and economics: the economic implications of homo reciprocans. European Economic Review 42(3): 845–859.Google Scholar
Fehr, E, Schmidt, KM (2000) Fairness, incentives, and contractual choices. European Economic Review 44(4): 1057–1068.Google Scholar
Fehr, E, Tyran, J-R (1996) Institutions and reciprocal fairness. Nordic Journal of Political Economy 23(2): 133–144.Google Scholar
Hedlund, J (2003) Statistical analyses of large truck crash causation study data: a report to the committee for review of the federal motor carrier safety administration truck crash causation study, transportation research board. Available at: http://onlinepubs.trb.org/onlinepubs/reports/tccs_sept_2003.pdf (accessed 16 May 2018).Google Scholar
Hedlund, J, Blower, D (2006) Using LTCCS data for statistical analyses of crash risk. In: Hedlund, J, Blower, D (eds) Large Truck Crash Causation Study Analysis Series. Washington, DC: Federal Motor Carrier Safety Administration, pp. 1–12.Google Scholar
Holzer, HJ (1990) Wages, employer costs, and employee performance in the firm. Industrial and Labor Relations Review 43(3): 147S–164S.CrossRefGoogle Scholar
Jovanis, PP, Park, SW, Chen, KY, et al . (2005) Factors Affecting Motor Carrier Crash Risk—Final Report. University Park, PA: The Pennsylvania Transportation Institute, The Pennsylvania State University and Federal Motor Carrier Safety Administration.Google Scholar
Lazear, EP (1990) Pensions and deferred benefits as strategic compensation. Industrial Relations 29(2): 263–280.Google Scholar
Lazear, EP (1995) Personnel Economics. Cambridge, MA: The MIT Press.Google Scholar
Mayhew, C, Quinlan, M (1997) Trucking Tragedies: Why Occupational Health and Safety Outcomes Are Worse for Subcontract Workers in the Road Transport Industry. Sydney, NSW, Australia: University of New South Wales.Google Scholar
Mayhew, C, Quinlan, M (2000) Occupational health and safety amongst 300 long distance truck drivers: results of an interview-based survey. In: Mayhew, C, Quinlan, M (eds) Report of Inquiry into Safety in the Long Haul Trucking Industry. Sydney, NSW, Australia: Motor Accidents Authority of New South Wales, pp. 355–498.Google Scholar
Mayhew, C, Quinlan, M (2006) Economic pressure, multi-tiered subcontracting and occupational health and safety in Australian long-haul trucking. Employee Relations 28(3): 212–229.Google Scholar
Milgrom, P, Roberts, J (2002) Economics, Organization, and Management. Upper Saddle River, NJ: Prentice Hall.Google Scholar
National Transport Commission, Wright, L, Quinlan, M (2008) Safe Payments: Addressing the Underlying Causes of Unsafe Practices in the Road Transport Industry. Melbourne, VIC, Australia: National Transport Commission.Google Scholar
Office of the Inspector General—US Department of Transportation (2018) Estimates Show Commercial Driver Detention Increases Crash Risks and Costs, but Current Data Limit Further Analysis. Washington, DC: US Department of Transportation (appendices). Available at: https://www.oig.dot.gov/sites/default/files/FMCSA%20Driver%20Detention%20Final%20Report.pdf (accessed 16 May 2018).Google Scholar
Panel on Research Methodologies and Statistical Approaches to Understanding Driver Fatigue Factors in Motor Carrier Safety and Driver Health, Committee on National Statistics, Board on Human-Systems Integration, et al (2016) Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: National Academies of Science. Available at: https://www.nap.edu/download/21921Google Scholar
Perchonok, K (1972) Accident Cause Analysis. Buffalo, NY: Cornell Aeronautical Laboratory.Google Scholar
Prendergast, C (1999) The provision of incentives in firms. Journal of Economic Literature 37(1): 7–63.Google Scholar
Quinlan, M (2001) Report of Inquiry into Safety in the Long Haul Trucking Industry. Sydney, NSW, Australia: Motor Accidents Authority of New South Wales.Google Scholar
Quinlan, M, Mayhew, C, Johnstone, R (2006) Trucking tragedies: the hidden disaster of mass death in the long-haul road transport industry. In: Tucker, E (ed.) Working Disasters: The Politics of Recognition and Response. Amityville, NY: Baywood Publishing Company, Inc, pp. 19–63.Google Scholar
Robinson, CF, Burnett, CA (2005) Truck drivers and heart disease in the United States, 1979-1990. American Journal of Industrial Medicine 47(2): 113–119.Google ScholarPubMed
Rodriguez, DA, Rocha, M, Khattak, AJ, et al . (2003) Effects of truck driver wages and working conditions on highway safety: case study. Transportation Research Record 1833: 95–102.CrossRefGoogle Scholar
Rodriguez, DA, Targa, F, Belzer, MH (2006) Pay incentives and truck driver safety: a case study. Industrial & Labor Relations Review 59(2): 205–225.Google Scholar
Summers, LH (1988) Relative wages, efficiency wages, and Keynesian unemployment. American Economic Review 78(2): 383–388.Google Scholar
Thompson, J, Newnam, S, Stevenson, M (2015) A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system. Transportation Research Part A: Policy and Practice 82: 204–215.Google Scholar
Treat, JR, Tumbas, NS, McDonald, ST, et al . (1977) Tri-Level Study of the Causes of Traffic Accidents. Volume I: Casual Factor Tabulations and Assessments. Washington, DC: Indiana University at Bloomington; Institute for Research in Public Safety, and National Highway Traffic Safety Administration.Google Scholar
Viscelli, S (2016) The Big Rig: Trucking and the Decline of the American Dream. Oakland, CA: University of California Press.CrossRefGoogle Scholar
Weiss, A (1990) Efficiency Wages: Models of Unemployment, Layoffs, and Wage Dispersion. Princeton, NJ: Princeton University Press.Google Scholar
Williamson, AM, Feyer, A-M, Friswell, R (1996) The impact of work practices on fatigue in long distance truck drivers. Accident Analysis and Prevention 28(6): 709–719.Google ScholarPubMed
Yellen, JL (1984) Efficiency wage models of unemployment. American Economic Review 74(2): 200–205.Google Scholar