Frequency and severity of Belgian road traffic accidents studied by state-space methods

Journal of Transportation and Statistics

Volumn 9, Issue 1, 2006, Pages 63-75

  Hermans, Elke ^a   Wets, Geert ^a   Van den Bossche, Filip ^a  

^a HASSELT UNIVERSITY   (Belgium)

Author keywords

Explanatory model; Prediction; Road safety; Seasonal; State space methodology; Time series; Trend

Indexed keywords

EID: 33845984352     PISSN: 10948848     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Akaike, H. 1973. Information Theory and an Extension of the Maximum Likelihood Principle. Second International Symposium on Information Theory. Edited by P.N. Petrov and F. Csaki. Budapest: Akadémiai Kiadó.
2. Aoki, M. 1987. State Space Modeling of Time Series. New York, NY: Springer-Verlag.
3. Balkin, S. and J.K. Ord. 2001. Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes. Journal of Transportation and Statistics 4(1):1-26.
4. Belgisch Instituut voor de Verkeersveiligheid (BIVV). 2001. Verkeersveiligheid Statistieken 2001. Available at http://www.bivv.be/ main/PublicatieMateriaal/Statistieken.shtml.
5. Bijleveld, F.D. and J.J.F. Commandeur. 2004. The Basic Evaluation Model, paper presented at the ICTSA meeting, INRETS, Arcueil, France, May 27-28, 2004.
6. Christens, P.F. 2003. Statistical Modelling of Traffic Safety Development, IMM-PHD-2003-119. Available at http://www.imm.dtu.dk.
7. Cuevas, M.A. 2002. Demand for Imports in Venezuela: A Structural Time Series Approach, World Bank Policy Research Working Paper No. 2825. Available at http://ssrn.com/abstract=313423.
8. Durbin, J. and S.J. Koopman. 2001. Time Series Analysis by State-Space Methods. Oxford, England: Oxford University Press.
9. Eisenberg, D. 2004. The Mixed Effects of Precipitation on Traffic Crashes. Accident Analysis and Prevention 36: 637-647.
10. European Commission (EC). 2004. COST Action 329: Models for Traffic and Safety Development and Interventions. Luxembourg: European Communities.
11. Flaig, G. 2002. Unobserved Components Models for Quarterly German GDP, CESifo Working Paper no. 681. Available at http://www.cesifo.de.
12. Fridstrøm, L., J. Ifver, S. Ingebrigtsen, R. Kulmala, and L.K. Thomsen. 1995. Measuring the Contribution of Randomness, Exposure, Weather and Daylight to the Variation in Road Accident Counts. Accident Analysis and Prevention 27(1):1-20.
13. Gaudry, M. and S. Lassarre. 2000. Structural Road Accident Model. The International DRAG Family. Oxford, England: Elsevier Science Ltd.
14. Hakim, S., D. Shefer, A.S. Hakkert, and I. Hocherman. 1991. A Critical Review of Macro Models for Road Accidents. Accident Analysis and Prevention 23(5):379-400.
15. Harvey, A.C. 1989. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge, England: Cambridge University Press.
16. Harvey, A.C. and J. Durbin. 1986. The Effect of Seat Belt Legislation on British Road Casualties: A Case Study in Structural Time Series Modeling. Royal Statistical Society A 149(3):187-227.
17. Harvey, A.C. and N. Shephard. 1993. Structural Time Series Models. Handbook of Statistics 11:261-302.
18. Harvey, A.C. and P.H.J. Todd. 1983. Forecasting Economic Time Series with Structural and Box-Jenkins Models: A Case Study. Journal of Business and Economic Statistics 1(4):299-315.
19. Johansson, P. 1996. Speed Limitation and Motorway Casualties: A Time Series Count Data Regression Approach. Accident Analysis and Prevention 28(1):73-87.
20. Kalman, R.E. 1960. A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering D 82:35-45.
21. Koopman, S. J., A.C. Harvey, J.A. Doornik, and N. Shephard. 2000. Stamp: Structural Time Series Analyser Modeller and Predictor. London, England: Timberlake Consultants Ltd.
22. Organization for Economic Cooperation and Development (OECD). 1997. Road Safety Principles and Models: Review of Descriptive, Predictive, Risk and Accident Consequence Models. Paris, France.
23. Orlandi, F. and K. Pichelmann. 2000. Disentangling Trend and Cycle in the EUR-11 Unemployment Series, ECFIN/27/2000-EN, No. 140. Available at http://europa.eu.int.
24. Peña, D., G.C. Tiao, and R.S. Stay. 2001. A Course in Time Series Analysis. New York, NY. John Wiley & Sons.
25. Sridharan, S., S. Vujic, and S.J. Koopman. 2003. Intervention Time Series Analysis of Crime Rates, TI 03-040/4. Available at http://www.tinbergen.nl.
26. Van den Bossche, F. and G. Wets. 2003. Macro Models in Traffic Safety and the DRAG Family: Literature Review, RA-2003-08. Available at http://www.steunpuntverkeersveihgheid.be/en.
27. Van den Bossche, F., G. Wets, and T. Brijs. 2004. A Regression Model with ARMA Errors to Investigate the Frequency and Severity of Road Traffic Accidents. Proceedings of the 83rd Annual Meetings of the Transportation Research Board, Washington, DC, January 11-15, 2004: 1-15.
28. Van den Bossche, F., G. Wets, and T. Brijs. 2005. The Role of Exposure in the Analysis of Road Accidents: A Belgian Case-Study. Proceedings of the 84th Annual Meetings of the Transportation Research Board, Washington, DC, January 9-13, pp.1-16.