Analysis of causes of major train derailment and their effect on accident rates

Transportation Research Record

Volumn , Issue 2289, 2012, Pages 154-163

  Liu, Xiang ^a   Saat, M Rapik ^a   Barkan, Christopher P L ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST BENEFIT ANALYSIS; DERAILMENTS; HUMAN ENGINEERING; RAILROADS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; SPEED; WELDS;

ACCIDENT RATE; ACCIDENTS CAUSE; BEARING FAILURES; BROKEN RAIL; COST EFFECTIVE; RAIL EQUIPMENT; RELATIVE FREQUENCIES; SPEED RANGE; SWITCHING RULE; TRAIN DERAILMENT;

COST EFFECTIVENESS;

EID: 84869825050     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2289-20     Document Type: Article

References (37)

1. Barkan, C. P. L., C. T. Dick, and R. Anderson. Railroad Derailment Factors Affecting Hazardous Materials Transportation Risk. In Transportation Research Record: Journal of the Transportation Research Board, No. 1825, Transportation Research Board of the National Academies, Washington, D. C., 2003, pp. 64-74.
2. Anderson, R. T. Quantitative Analysis of Factors Affecting Railroad Accident Probability and Severity. MS thesis. University of Illinois at Urbana-Champaign, 2005.
3. Liu, X., C. P. L. Barkan, and M. R. Saat. Analysis of Derailments by Accident Cause: Evaluating Railroad Track Upgrades to Reduce Transportation Risk. In Transportation Research Record: Journal of the Transportation Research Board, No. 2261, Transportation Research Board of the National Academies, Washington, D. C., 2011, pp. 178-185
4. FRA Guide for Preparing Accident/Incident Reports. FRA, U. S. Department of Transportation, 2011.
5. Chadwick, S., M. R. Saat, and C. P. L. Barkan. Analysis of Factors Affecting Train Derailment at Highway-Rail Grade Crossings. Presented at 91st Annual Meeting of the Transportation Research Board, Washington, D. C., 2012.
6. Association of American Railroads. Class I Railroad Statistics. http://www.aar.org/~/media/aar/Industry%20Info/AAR%20Stats%202010%201123.ash
7. Saccomanno, F. F., J. H. Shortreed, and M. Van Aerde. Assessing the Risks of Transporting Dangerous Goods by Truck and Rail. Institute for Risk Research, University of Waterloo, Waterloo, Ontario, Canada, 1988.
8. Austin, R. D., and J. L. Carson. An Alternative Accident Prediction Model for Highway-Rail Interfaces. Accident Analysis and Prevention, Vol. 34, 2002, pp. 31-42. (Pubitemid 32951183)
9. Arthur D. Little, Inc. (ADL). Risk Assessment for the Transportation of Hazardous Materials by Rail, Supplementary Report: Railroad Accident Rate and Risk Reduction Option Effectiveness Analysis and Data, 2nd rev. ADL, Cambridge, Mass., 1996.
10. Schafer, D. H., II, and C. P. L. Barkan. Relationship Between Train Length and Accident Causes and Rates. In Transportation Research Record: Journal of the Transportation Research Board, No. 2043, Transportation Research Board of the National Academies, Washington, D. C., 2008, pp. 73-82.
11. Yang, T. H., W. P. Manos, and B. Johnstone. A Study Continuation of Derailment Behavior Final Report (Phase 08 Report on Computer Derailment Study). RPI/AAR Report RA-08-1-12 (R-135). Railroad Tank Car Safety Research and Test Project. Association of American Railroads, Washington, D. C., 1972.
12. Yang, T. H., W. P. Manos, and B. Johnstone. Dynamic Analysis of Train Derailments. 72-WA/RT-6. Rail Transportation Proceedings. The American Society of Mechanical Engineers, New York, 1973, p. 8.
13. Nayak, P. R., D. B. Rosenfield, and J. H. Hagopian. Event Probabilities and Impact Zones for Hazardous Materials Accidents on Railroads. Report DOT/FRA/ORD-83/20. FRA, U. S. Department of Transportation, 1983.
14. Glickman, T. S., and D. B. Rosenfield. Risks of Catastrophic Derailments Involving the Release of Hazardous Materials. Management Science, Vol. 30, No. 4, 1984, pp. 503-511. (Pubitemid 14076277)
15. Coppens, A. J., J. D. E. Wong, A. Bibby, A. M. Birk, and R. J. Anderson. Development of a Derailment Accident Computer Simulation Model. Transport Canada Report No. TP 9254E. Prepared for the Transportation Development Centre and Transport of Dangerous Goods, Ottawa, Ontario, Canada, 1988.
16. Saccomanno, F. F., and S. El-Hage. Minimizing Derailments of Railcars Carrying Dangerous Commodities Through Effective Marshaling Strategies. In Transportation Research Record 1245, TRB, National Research Council, Washington, D. C., 1989, pp. 34-51.
17. Treichel, T. T., and C. P. L. Barkan. Working Paper on Mainline Freight Train Accident Rates. Research and Test Department, Association of American Railroads, Washington, D. C., 1993.
18. Dick, C. T., C. P. L. Barkan, E. R. Chapman, and M. P. Stehly. Multivariate Statistical Model for Predicting Occurrence and Location of Broken Rails. In Transportation Research Record: Journal of the Transportation Research Board, No. 1825, Transportation Research Board of the National Academies, Washington, D. C., 2003, pp. 48-55.
19. Anderson, R. T., and C. P. L. Barkan. Railroad Accident Rates for Use in Transportation Risk Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1863, Transportation Research Board of the National Academies, Washington, D. C., 2004, pp. 88-98.
20. Anderson, R. T., and C. P. L. Barkan. Derailment Probability Analyses and Modeling of Mainline Freight Trains. Proc., 8th International Heavy Haul Railway Conference, International Heavy Haul Association, Rio de Janeiro, Brazil, 2005.
21. Saat, M. R., and C. P. L. Barkan. Tank Car Safety Design vs. Infrastructure Improvements in Reducing Hazardous Materials Transportation Risks. Presented at INFORMS Annual Meeting, Pittsburgh, Pa., 2006.
22. Liu, X., M. R. Saat, and C. P. L. Barkan. Benefit-Cost Analysis of Infrastructure Improvement for Derailment Prevention. Proc., ASME-IEEE-ASCE-AREMA-TRB Joint Rail Conference (CD-ROM), University of Illinois at Urbana-Champaign, 2010.
23. Kawprasert, A. Quantitative Analysis of Options to Reduce Risk of Hazardous Materials Transportation by Railroad. PhD dissertation. University of Illinois at Urbana-Champaign, Urbana, 2010.
24. English, G. W., G. Higham, M. Bagheri, T. W. Moynihan, and F. F. Saccomanno. Evaluation of Risk Associated with Stationary Dangerous Goods Railway Cars. Transport Canada Report No. TP 14690E. Prepared for the Transportation Development Centre (TDC), Montreal, Quebec, Canada, 2007.
25. Liu, X., C. P. L. Barkan, and M. R. Saat. Probability Analysis of Hazardous Materials Releases in Railroad Transportation. Presented at INFORMS Annual Meeting, Austin, Tex., 2010.
26. Zarembski, A. M. Derailment of Transit Vehicles in Special Trackwork. Transit Cooperative Research Program, 1997.
27. Wolf, G. Switch Point Derailments: Is It the Point or the Wheel? Interface, Journal of Wheel-Rail Interaction, July 2006.
28. Wu, H., and N. Wilson. Railway Vehicle Derailment and Prevention. In Handbook of Railway Vehicle Dynamics, Taylor and Francis Group, Boca Raton, Fla., 2006.
29. Track Safety Standards. FRA. 49 CFR 213, 2003.
30. Schafer, D. H., and C. P. L. Barkan. A Prediction Model for Broken Rails and an Analysis of Their Economic Impact. Proc., American Railway Engineering and Maintenance of Way Association (AREMA) Annual Conference, Salt Lake City, Utah, Sept. 2008.
31. Uzarski, D. R. Development of a Track Structure Condition Index. PhD dissertation. University of Illinois at Urbana-Champaign, 1991.
32. El-Sibaie, M., and Y.-J. Zhang. Objective Track Quality Indices. In Transportation Research Record: Journal of the Transportation Research Board, No. 1863, Transportation Research Board of the National Academies, Washington, D. C., 2004, pp. 81-87.
33. Schlake, B. Impact of Automated Condition Monitoring Technologies on Railroad Safety and Efficiency. MS thesis. University of Illinois at Urbana-Champaign, 2010.
34. Kalay, S., P. French, and H. Tournay. The Safety Impact of Wagon Health Monitoring in North America. Proc., 9th World Congress on Railway Research Conference, World Congress on Railway Research, Lille, France, 2011.
35. Resor, R. R., and A. M. Zarembski. Factors Determining the Economics of Wayside Defect Detectors. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D. C., 2004.
36. Bladon, K., D. Rennison, G. Lzbinsky, R. Tracy, and T. Bladon. Predictive Condition Monitoring of Railway Rolling Stock. Proc., Conference on Railway Engineering, Darwin, Australia, June 2004.
37. Robert, W., A. Aeppli, and P. Little. Post-Audit of Wayside Detector Costs and Benefits. Cambridge Systematics Inc., Cambridge, Mass., Sept. 2009.