التفاصيل البيبلوغرافية
| العنوان: |
A model for identifying and ranking dangerous accident locations: a case study in Flanders. |
| المؤلفون: |
Brijs, Tom1 tom.brijs@luc.ac.be, Van den Bossche, Filip1, Wets, Geert1, Karlis, Dimitris2 |
| المصدر: |
Statistica Neerlandica. Nov2006, Vol. 60 Issue 4, p457-476. 20p. 3 Graphs. |
| مصطلحات موضوعية: |
*MARKOV processes, *BAYES' estimation, *MONTE Carlo method, ROAD safety measures, TRAFFIC accidents, GIBBS phenomenon, POISSON distribution |
| مستخلص: |
These days, road safety has become a major concern in most modern societies. In this respect, the determination of road locations that are more dangerous than others (black spots or also called sites with promise) can help in better scheduling road safety policies. The present paper proposes a multivariate model to identify and rank sites according to their total expected cost to the society. Bayesian estimation of the model via a Markov Chain Monte Carlo approach is discussed in this paper. To illustrate the proposed model, accident data from 23,184 accident locations in Flanders (Belgium) are used and a cost function proposed by the European Transport Safety Council is adopted to illustrate the model. It is shown in the paper that the model produces insightful results that can help policy makers in prioritizing road infrastructure investments. [ABSTRACT FROM AUTHOR] |
|
Copyright of Statistica Neerlandica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Business Source Index |
