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Improving Motor Carrier Safety Measurement (2017)

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Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×

Bibliography

Almeida, C., Braveman, P., Gold, M.R., et al. (2001). Methodological concerns and recommendations on policy consequences of the World Health Report 2000. Lancet, 357, 1692, 1697.

American Transportation Research Institute. (2012). Compliance, Safety, Accountability: Analyzing the Relationship of Scores to Crash Risk. M.D. Lueck, October; Minneapolis, MN.

American Transportation Research Institute. (2014). Evaluating the Impact of Commercial Motor Vehicle Enforcement Disparities on Carrier Safety Performance. A. Weber and D. Murray, July; Minneapolis, MN.

American Transportation Research Institute. (2015). Assessing the Impact of Non-Preventable Crashes on CSA Scores. C. Boris and D. Murray, November; Minneapolis, MN.

Belzer, M.H., and Sedo, S.A. (in press). Why do long-distance truck drivers work extremely long hours? Submitted to Economic and Labour Relations Review, SAGE, University of New South Wales, Sydney, to appear March 2018.

Belzer, M.H., Rodriguez, D.A., and Sedo, S.A. (2002). Paying for Safety: An Economic Analysis of the Effect of Compensation on Truck Driver Safety. Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Birkmeyer, J.B., Dimick, J.D., and Birkmeyer, N.J. (2004). Measuring the quality of surgical care: Structure, process or outcomes? Journal of the American College of Surgeons, 198, 626–631.

Blower, D.F. (1999). The relative contribution of truck drivers and passenger-vehicle drivers to truck/passenger vehicle traffic crashes. UMTRI Research Review, 30(2), 1–15.

Blower, D.F., and Campbell, K. (2002). The Large Truck Crash Causation Study. Prepared for the U.S. Department of Transportation, Federal Highway Administration, DTFH6196-C-0038

Blower, D., and Matteson, A. (2003a). Evaluation of the Motor Carrier Management Information System Crash File, Phase One. University of Michigan Transportation Research Institute, sponsored by the Federal Motor Carrier Safety Administration.

Blower, D., and Matteson, A. (2003b). Patterns of MCMMIS Crash File Underreporting in Ohio. University of Michigan Transportation Research Institute.

Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×

Blower, D., and Matteson, A. (2004). Evaluation of Missouri Crash Data Reported to MCMIS Crash File. Prepared for Federal Motor Carrier Safety Administration Task D MCMIS Crash File Evaluation. University of Michigan Transportation Research Institute.

Blower, D., and Matteson, A. (2013). Evaluation of 2010 New Jersey Crash Data Reported to the MCMIS Crash File. UMTRI-2013-48. University of Michigan Transportation Research Institute.

Camilli, G., and Fox, J.P. (2015). An aggregate IRT procedure for exploratory factor analysis. Journal of Educational and Behavioral Statistics, 40(4), 377-401.

Chen, L.M., Staiger, D.O., Birkmeyer, J.D., Ryan, A.M., Zhange, W, and Dimick, J.B. (2013). Composite quality measures for common inpatient conditions. Medical Care, 51(9), 832–837.

Cohen, R.J., and Swerlik, M. (2001). Psychological Testing and Assessment: An Introduction to Tests and Measurement. New York: McGraw-Hill.

Courtney, J., Krumholz, H., Wang, Y., and Turnbull, B. (2002). Using composite measures for the public reporting hospital performance data. Connecticut Medicine 66(10), 633–634.

Coyne, J.S., and Hilsenrath, P. (2002). The World Health Report 2000. American Journal of Public Health, 92(1), 30–34.

Craft, R. (2012). Coding Scheme for Motor Carrier Crash Accountability: A Test of Using a Modified Critical Reason Methodology. Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Donabedian, A. (1980). Explorations in Quality Assessment and Monitoring: The Definition of Quality and Approaches to Its Assessment. Ann Arbor, MI: Health Administration Press.

Federal Motor Carrier Safety Administration. (2015). Large Truck and Bus Crash Facts. Available: https://www.fmcsa.dot.gov/safety/data-and-statistics/large-truck-and-bus-crash-facts [August 2017].

Federal Motor Carrier Safety Administration. (2016a). Safety Measurement System (SMS) Methodology: Behavior Analysis and Safety Improvement Category (BASIC) Prioritization Status. Version 3.0.5; Methodology revised September 2015, Document Revised February 2016.

Federal Motor Carrier Safety Administration. (2016b). FMCSA Seeks Feedback on Carrier Safety Fitness Determination Notice of Proposed Rulemaking. Available: https://csa.fmcsa.dot.gov/WhatsNew/Article?articleId=82776 [August 2017].

Federal Motor Carrier Safety Administration. (2017). Mission Statement. Available: https://www.fmcsa.dot.gov/mission [August 2017].

Federal Register. (2010). Withdrawal of Proposed Improvements to the Motor Carrier Safety Status Measurement System (SafeStat) and Implementation of a New Carrier Safety Measurement System (CSMS). Available: https://www.fmcsa.dot.gov/regulations/notices/2010-8183 [August 2017].

Gelman, A, Carlin, J.B., Stern, H.S., Dunson, D.B., Vehtari, A. and Rubin, D.B. (2013). Bayesian Data Analysis, 3rd ed., Boca Raton, FL: Chapman & Hall/CRC Texts in Statistical Science.

Gelman, A., Meng, X.-L., and Stern, H.S. (1996), Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica, 6, 733–807.

Gibbons, R.D., and Hedeker, D.R. (1992). Full-information item bi-factor analysis. Psychometrika, 57, 423. doi:10.1007/BF02295430.

Green, P.E., and Blower, D. (2011). Evaluation of the CSA 2010 Operational Model Test. University of Michigan Transportation Research Institute, UMTRI-2011-08.

Gregory, R.J. (2003). Psychological Testing: History, Principles and Applications. 4th ed. Boston: Allyn & Bacon.

Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×

Grissmer, D., and Flanagan, A. (1998). Exploring Rapid Achievement Gains in North Carolina and Texas. A paper commissioned by the National Education Goals Panel. Available: http://govinfo.library.unt.edu/negp/reports/grissmer.pdf [August 2017].

Hatfield, L.A., Hodges, J.S., and Carlin, B.P. (2014). Joint models: when are treatment estimates improved? Statistics and Its Interface, 7(4), 439–453.

Independent Review Team. (2014). Blueprint for Safety Leadership: Aligning Enforcement and Risk. Appointed by Secretary of Transportation Anthony R. Foxx to Review the Federal Motor Carrier Safety Administration’s Safety Oversight of the Motor Carrier Industry. Available: https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/FINAL%20REPORT%20-%20IRT_July%2015.pdf

Institute of Medicine. (1999). Measuring the Quality of Health Care. A statement by The National Roundtable on Health Care Quality. Division of Health Care Services, Institute of Medicine, M.S. Donaldson (Ed.). Washington, DC: National Academy Press.

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Matteson, A., and Blower, D. (2005). Evaluation of North Carolina Crash Data Reported to MCMIS Crash File. University of Michigan Transportation Research Institute, Ann Arbor, Michigan.

National Academy of Sciences, Engineering, and Medicine. (2016). Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.

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Rodriguez, D.A., Targa, F., and Belzer, M.H. (2006). Pay incentives and truck driver safety: A case study. ILR Review, 59(2), 205–225.

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Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×

Sinharay, S., Johnson, M.S., and Stern, H.S. (2006). Posterior predictive assessment of item response theory models. Applied Psychological Measurement, 30, 298.

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Volpe National Transportation Systems Center. (2010). Carrier Safety Measurement System (CSMS) Violation Severity Weights. Cambridge, MA.

Volpe National Transportation Systems Center. (2014). Table 2 The Carrier Safety Measurement System (CSMS) Effectiveness Test by Behavior Analysis and Safety Improvement Categories (BASICs). Cambridge, MA.

Weisberg, D., Sexton, S., Mulhern, J., and Keeling, D. (2009). The Widget Effect: Our National Failure to Acknowledge and Act on Differences in Teacher Effectiveness. New York: The New Teacher Project. Available: http://files.eric.ed.gov/fulltext/ED515656.pdf [August 2017].

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Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×
Page 127
Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×
Page 128
Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×
Page 129
Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2017. Improving Motor Carrier Safety Measurement. Washington, DC: The National Academies Press. doi: 10.17226/24818.
×
Page 130
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Every year roughly 100,000 fatal and injury crashes occur in the United States involving large trucks and buses. The Federal Motor Carrier Safety Administration (FMCSA) in the U.S. Department of Transportation works to reduce crashes, injuries, and fatalities involving large trucks and buses. FMCSA uses information that is collected on the frequency of approximately 900 different violations of safety regulations discovered during (mainly) roadside inspections to assess motor carriers’ compliance with Federal Motor Carrier Safety Regulations, as well as to evaluate their compliance in comparison with their peers. Through use of this information, FMCSA’s Safety Measurement System (SMS) identifies carriers to receive its available interventions in order to reduce the risk of crashes across all carriers.

Improving Motor Carrier Safety Measurement examines the effectiveness of the use of the percentile ranks produced by SMS for identifying high-risk carriers, and if not, what alternatives might be preferred. In addition, this report evaluates the accuracy and sufficiency of the data used by SMS, to assess whether other approaches to identifying unsafe carriers would identify high-risk carriers more effectively, and to reflect on how members of the public use the SMS and what effect making the SMS information public has had on reducing crashes.

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