Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance
The third part of the state-of-the-art focuses on the future of road safety modeling and on conjectures concerning the evolution of national safety indicators. In the absence of econometric developments specific to road safety modeling, the research future must rely on pre-existing statistical procedures of econometrics applied to discrete/count and to aggregate data. In terms of contents, growing interest in the heterogeneity of road accident outcomes by category of victims could lead to treatments of this issue across research streams, say by top-down and bottom-up developments, but this speculation does not rest on extant adequate formulations of the issue of road user class and victim analysis. But understanding the time profile of aggregate national performance indicators is quite another matter.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 37 (2013)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description |
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Blum, U.C.H. & Foos, G. & Gaudry, M.J.I., 1986. "Aggregate Time Series Gasoline Demand Models. Review of the Literature and New Evidence for West Germany," Cahiers de recherche 8617, Universite de Montreal, Departement de sciences economiques.
- Aaron S. Edlin & Pinar Karaca-Mandic, 2006.
"The Accident Externality from Driving,"
Journal of Political Economy,
University of Chicago Press, vol. 114(5), pages 931-955, October.
- Grabowski, David C. & Morrisey, Michael A., 2006. "Do higher gasoline taxes save lives?," Economics Letters, Elsevier, vol. 90(1), pages 51-55, January.
- Russell S. Sobel & Todd M. Nesbit, 2007. "Automobile Safety Regulation and the Incentive to Drive Recklessly: Evidence from NASCAR," Southern Economic Journal, Southern Economic Association, vol. 74(1), pages 71-84, July.
- Yves Crozet & Iragaël Joly, 2004. "Budgets temps de transport : les sociétés tertiaires confrontées à la gestion paradoxale du " bien le plus rare "," Post-Print halshs-00068933, HAL.
- Winston, Clifford & Mannering, Fred, 1984. "Consumer Demand for Automobile Safety," American Economic Review, American Economic Association, vol. 74(2), pages 316-19, May.
- Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, September.
- Obeng, Kofi & Burkey, Mark, 2008. "Explaining crashes at intersections with red light cameras: A note," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 811-817, June.
When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:37:y:2013:i:1:p:38-56. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.