Improving reliability of road safety estimates based on high correlated accident counts

Transportation Research Record

Volumn , Issue 2019, 2007, Pages 197-204

  Giuffrè, Orazio ^a   Granà, Anna ^a   Giuffrè, Tullio ^a   Marino, Roberta ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; HIGHWAY ACCIDENTS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

CORRELATED ACCIDENT COUNTS; ROAD SAFETY ESTIMATES;

ACCIDENT PREVENTION;

EID: 41549111680     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2019-23     Document Type: Article

References (18)

1. Hauer, E. Observational Before and After Studies in Road Safety. Pergamon, 2002.
2. Diggle, P. J., P. Heagerty, K.-Y. Liang, and S. L. Zeger. Analysis of Longitudinal Data, 2nd ed. Oxford University Press, Oxford, United Kingdom, 2002.
3. Fitzmaurice, G. M. A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data. Biometrics, Vol. 51, 1995, pp. 309-317.
4. Zeger, S. L., and K.-Y. Liang. Longitudinal Data Analysis for Discrete and Continuous Outcomes. Biometrics, Vol. 42, 1986, pp. 121-130.
5. Lord, D., and B. N. Persaud. Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure. In Transportation Research Record: Journal of the Transportation Research Board, No. 1717, TRB, National Research Council, Washington, D.C., 2000, pp. 102-108.
6. Lord, D., A. Manar, and A. Vizioli. Modeling Crash-Flow-Density and Crash-Flow-V/C Ratio Relationship for Rural and Urban Freeway Segments. Accident Analysis and Prevention, Vol. 37, 2005, pp. 185-199.
7. Hardin, J. J., and J. M. Hilbe. Generalized Estimating Equations. Chapman & Hall/CRC, Boca Raton, Fla., 2003.
8. Liang, K.-Y., and S. L. Zeger. Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, Vol. 73, 1986, pp. 13-22.
9. Lord, D. The Prediction of Accidents on Digital Network: Characteristics and Issues Related to the Application of Accident Prediction Models. PhD thesis. Department of Civil Engineering, University of Toronto, Toronto, Ontario, Canada, 2000.
10. Zeger, S. L., K.-Y. Liang, and P. S. Albert. Models for Longitudinal Data: A Generalized Estimating Equation Approach. Biometrics, Vol. 44, 1988, pp. 1049-1060.
11. Green, P. Iterative Reweighted Least Squares for Maximum Likelihood Estimation and Some Robust and Resistant Alternative (with discussion). Journal of the Royal Statistical Society, Series B, Vol. 46, 1984, pp. 149-162.
12. Ballinger, G. A. Using Generalized Estimating Equations for Longitudinal Data Analysis. Organizational Research Methods, Vol. 7, No. 2, 2004, pp. 127-150.
13. Zheng, B. Summarizing the Goodness of Fit on Generalized Linear Models for Longitudinal Data. Statistics in Medicine, Vol. 19, 2000, pp. 1265-1275.
14. Pan, W. Akaike's Information Criterion in Generalized Estimating Equations. Biometrics, Vol. 57, 2001, pp. 120-125.
15. Hauer, E., and J. Bamfo. Two Tools for Finding What Function Links the Dependent Variable to the Explanatory Variables. Presented at International Cooperation on Theories and Concepts in Traffic Safety Conference, Lund, Sweden, 1997.
16. Lord, D., E. Hauer, and J. Bamfo. Application de Deux Nouvelles Méthodes pour Examiner la Relation entre les Accidents et les Variables Explicatives (in French). Routes et Transports, Vol. 28, No. 3, 1999, pp. 11-20.
17. Payne, R. W., S. A. Harding, D. A. Murray, and D. M. Soutar. GenStat Release 8. VSN International, Oxford, United Kingdom, 2004.
18. Cameron, A. C., and P. K. Trivedi. Regression Analysis of Count Data. Cambridge University Press, Cambridge, United Kingdom, 1998.