Use of propensity score matching method and hybrid bayesian method to estimate crash modification factors of signal installation

Transportation Research Record

Volumn , Issue 1950, 2006, Pages 17-23

  Aul, Nathan ^a   Davis, Gary ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; COMPUTATION THEORY; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; STATISTICAL METHODS;

CRASH MODIFICATION FACTORS (CMF); HIERARCHICAL BAYES MODEL; HYBRID BAYESIAN METHOD;

STREET TRAFFIC CONTROL;

EID: 33749610145     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1950-03     Document Type: Conference Paper

References (16)

1. Hauer, E. Observational Before-After Studies in Road Safety. Elsevier Science, Oxford, United Kingdom, 1997.
2. Hauer, E., and B. N. Persaud. How to Estimate the Safety of Rail-Highway Grade Crossings and the Safety Effects of Warning Devices. In Transportation Research Record 1114, TRB, National Research Council, Washington, D.C., 1987, pp. 131-140.
3. Davis, G. A. Accident Reduction Factors and Causal Inference in Traffic Safety Studies: Review. Accident Analysis and Prevention, Vol. 32, 2000, pp. 95-109.
4. Christiansen, C., and C. Morris. Hierarchical Poisson Regression Modeling. Journal of the American Statistical Association, Vol. 92, 1997, pp. 618-632.
5. Christiansen, C., C. Morris, and O. Pendleton. A Hierarchical Poisson Model, with Beta Adjustments for Traffic Accident Analysis. Presented at American Statistical Association Conference, Boston, Mass., 1992.
6. Davis, G. A. Estimating Traffic Accident Rates While Accounting for Traffic-Volume Estimation Error: A Gibbs Sampling Approach. In Transportation Research Record: Journal of the Transportation Research Board, No. 1717, TRB, National Research Council, Washington, D.C., 2000, pp. 94-101.
7. Hauer, E., D. Terry, and M. S. Griffith. Effect of Resurfacing on Safety of Two-Lane Rural Roads in New York State. In Transportation Research Record 1467, TRB, National Research Council, Washington, D.C., 1994, pp. 30-37.
8. Rosenbaum, P., and D. Rubin. The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, Vol. 70, 1983, pp. 41-55.
9. Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. WinBUGS User Manual: Version 1.4. Institute of Public Health, Cambridge, United Kingdom, 2003.
10. McGee, H., S. Taori, and B. Persaud. NCHRP Report 491: Crash Experience Warrant for Traffic Signals. Transportation Research Board of the National Academies, Washington, D.C., 2003.
11. Rosenbaum, P., and D. Rubin. Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score. American Statistician, Vol. 39, 1985, pp. 33-38.
12. Linden, A., J. Adams, and N. Roberts. Using Propensity Scores to Construct Comparable Control Groups for Disease Management Program Evaluation. Disease Management and Health Outcomes Journal, Vol. 13, No. 2, 2005, pp. 107-115.
13. Manual on Uniform Traffic Control Devices. FHWA, U.S. Department of Transportation, 2000.
14. Preston, H. Estimation of Signal Volume Warrant Using Traffic Analysis Unit Report 390. CH2M Hill, Minnesota Department of Transportation, 2005.
15. MINITAB User's Guide 2: Data Analysis and Quality Tools. Minitab, State College, Pa., 2000.
16. Gelman, A., J. Carlin, H. Stern, and D. Rubin. Bayesian Data Analysis, 2nd ed. Chapman and Hall/CRC, Boca Raton, Fla., 2004.