Possible aggregation biases in road safety research and a mechanism approach to accident modeling

Accident Analysis and Prevention

Volumn 36, Issue 6, 2004, Pages 1119-1127

  Davis, Gary A ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Causal mechanisms; Crash prediction models; Ecological fallacy; Simpson's paradox

Indexed keywords

CAUSAL MECHANISMS; CRASH PREDICTION MODELS; ECOLOGICAL FALLACY; SIMPSON'S PARADOX;

COMPUTER SIMULATION; ECOLOGY; HIGHWAY ACCIDENTS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RANDOM PROCESSES; RESEARCH;

ACCIDENT PREVENTION;

ARTICLE; EPIDEMIOLOGY; HUMAN; STATISTICAL ANALYSIS; STATISTICS; THEORETICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; BIAS (EPIDEMIOLOGY); CAUSALITY; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, THEORETICAL;

EID: 4344707208     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2004.04.002     Document Type: Article

References (45)

1. Balke, A., Pearl, J., 1994. Probabilistic evaluation of counterfactual queries. In: Proceedings of the Twelfth National Conference on Artificial Intelligence. MIT Press, Menlo Park, CA, 230-237.
2. Davis G. Accident reduction factors and causal inference in traffic safety studies: a review. Accid. Anal. Prev. 32:2000;95-109.
3. Davis G. Bayesian reconstruction of traffic accidents. Law, Probability Risk. 2:2003;69-89.
4. Davis, G., Sanderson, K., Davuluri, S., 2002. Development and Testing of a Vehicle/Pedestrian Collision Model for Neighborhood Traffic Control. Report to Minnesota Department of Transportation, St. Paul, MN.
5. Dawid A.P. Causal inference without counterfactuals. J. Am. Stat. Assoc. 95:2000;407-423.
6. Fambro, D., Fitzpatrick, K., Koppa, R., 1997. Determination of Stopping Sight Distances. NCHRP Report 400. National Academy Press, Washington, DC.
7. Freedman, D., 1997. From association to causation via regression. In: McKim, V., Turner, S. (Eds.), Causality in Crisis. University of Notre Dame Press, Notre Dame, IN, pp. 113-162.
8. Freedman, D., 1999a. Ecological Inference and the Ecological Fallacy. Technical Report 549. Department of Statistics, University of California, Berkeley, CA.
9. Freedman D. From association to causation: some remarks from the history of statistics. Stat. Sci. 14:1999;243-258.
10. Garber, N., Gadiraju R., 1988. Speed Dispersion and its Influence on Accidents. AAA Foundation for Highway Safety.
11. Giere, R., 1980. Causal systems and statistical hypotheses. In: Cohen, L., Hesse, M. (Eds.), Applications of Inductive Logic. Oxford University Press, Oxford, UK.
12. Gillies, D., 2000. Philosophical Theories of Probability. Routledge, London.
13. Glennon S. Mechanisms and the nature of causation. Erkenntnis. 44:1996;49-71.
14. Glennon S. Probable causes and the distinction between subjective and objective chance. Nous. 31:1997;496-519.
15. Hacking I. On the foundations of statistics. Br. J. Philos. Sci. 15:1964;1-26.
16. Hacking, I., 1965. Logic of Statistical Inference. Cambridge University Press, Cambridge, UK.
17. Hauer E. Bias-by-selection: overestimation of the effectiveness of safety countermeasures caused by the process of selection for treatment. Accid. Anal. Prev. 12:1980;113-117.
18. Hauer E. Traffic conflicts and exposure. Accid. Anal. Prev. 14:1982;359-364.
19. Hauer, E., 1990. The engineering of safety and the safety of engineering. In: Rothe, J. (Ed.), Challenging the Old Order: Towards New Directions in Traffic Safety Theory. Transaction Publishers, London, pp. 29-71.
20. Hauer E., Kononov J., Allery B., Griffith M. Screening the road network for sites with promise. Transportation Res. Rec. 1784:2002;27-32.
21. Henry, N., 1997. Thoughts on the concept and application of statistical models. In: Van Fraassen, B. (Ed.), Topics in the Foundation of Statistics. Kluwer, Dordrecht, pp. 63-67.
22. Hitchcock C. Causal generalizations and good advice. The Monist. 84:2001;218-241.
23. Holland P. Statistics and causal inference. J. Am. Stat. Assoc. 81:1986;945-960.
24. Jarrett, D., 1997. Assessing the safety effect of treatment using data from a number of sites. In: Proceedings of Traffic Safety on Two Continents Conference, Swedish National Road and Transport Institute, Linkoping, Sweden. 145-162.
25. Jovanis P., Chang H. Modeling the relationship of accidents to miles traveled. Transportation Res. Rec. 1068:1986;42-51.
26. Kapustin, R., 2001. Transportation disaster investigation. In: Carper, K. (Ed.), Forensic Engineering, second ed. CRC Press, Boca Raton, pp. 159-222.
27. Kloeden, C., McLean, A., Moore, V., Ponte, G., 1997. Traveling Speed and the Risk of Crash Involvement. NHMRC Road Accident Research Unit, University of Adelaide, Adelaide, Australia.
28. Lave C. Speeding, coordination, and the 55. mph limit Am. Econ. Rev. 75:1985;1159-1164.
29. Lave C., Elias P. Did the 65 mph speed limit save lives? Accid. Anal. Prev. 26:1994;49-62.
30. Lord, D., Washington, S., Ivan, J., 2004. Statistical challenges with modeling motor vehicle crashes: understanding the implication of alternative approaches. In: Proceedings of the 83rd Annual Meeting of the Transportation Research Board, Paper 04-3162, TRB. Washington, DC.
31. Lyon, C., Oh, J., Persaud, B., Washington, S., Bared, J., 2003. Empirical and theoretical support for the IHSDM accident prediction algorithm for at-grade intersection. In: Proceedings of the 82nd Annual Meeting of the Transportation Research Board. Washington, DC.
32. McCarthy, P., 1998. Effect of speed limits on speed distributions and highway safety: a survey of the literature. In: Managing Speed. Special Report 254. Transportation Research Board, Washington, DC, pp. 277-358.
33. OECD, 1988. Road Accidents: On-Site Investigations. Organization for Economic Co-operation and Development, Paris.
34. Pearl, J., 2000. Causality: Models, Reasoning, and Inference. Cambridge University Press, Cambridge, UK.
35. Persaud B., Lord D., Palmisano J. Calibration and transferability of accident prediction models for urban intersections. Transportation Res. Rec. 1784:2002;57-64.
36. Rohatgi, V., 1976. An Introduction to Probability Theory and Mathematical Statistics. Wiley, New York.
37. Rubin D. Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol. 66:1974;688-701.
38. Rubin D. Bayesian inference for causal effects: the role of randomization. Ann. Stat. 6:1978;34-58.
39. Schaffner K. Clinical trials and causation: Bayesian perspective. Stat. Med. 12:1993;1477-1494.
40. Shinar, D.,1998. Speed and crashes: a controversial topic and an elusive relationship. In: Managing Speed. Special Report 254. Transportation Research Board, Washington, DC, pp. 221-276.
41. Simpson E. The interpretation of interaction in contingency tables. J. R. Stat. Soc., Ser. B. 13:1951;238-241.
42. Smeed R. Accident rates. Int. Road Saf. Traffic Rev. 3:1955;30-40.
43. Spiegelhalter, D., Tomas, A., Best, N. 2000. WinBUGS Version 1.3 User Manual. MRC Biostatistics Unit, Cambridge University, Cambridge, UK.
44. Tanner J. A problem in the combination of accident frequencies. Biometrika. 45:1958;331-342.
45. Turner, S., 1997. "Net effects": a short history. In: McKim, V., Turner, S. (Eds.), Causality in Crisis. University of Notre Dame Press, Nortre Dame, IN, pp. 23-46.