Citation

Cela L, Shiode S, Lipovac K. Int. J. Traffic Transp. Eng. (Belgrade) 2013; 3(1): 1-15.

Copyright

(Copyright © 2013, City Net Scientific Research Center, Faculty of Transport and Traffic Engineering, University of Belgrade)

DOI

10.7708/ijtte.2013.3(1).01

PMID

unavailable

Abstract

Road safety issue is drawing major attention of local Serbian authorities who seeks the reduction of the volume of Road Traffic Accidents. The study starts with a summative review of the problem with a focus on the situation in the European Union member countries and the Western Balkan (WB) countries: Albania, Bosnia and Herzegovina, Croatia, Montenegro, the former Yugoslav Republic of Macedonia, Kosovo and Serbia. It then interprets traffic accident data using network K-function and Network Kernel Density Estimation. Unlike the conventional planar methods, the network methods analyze the spatial patterns of accident locations within the network space and are therefore not affected by the configuration of the street network or its distance. The Network K-function helped authors to investigate the presence of clusters, whereas the Network Kernel Density method helped identify the actual cluster locations. Multiple linear regression analysis was also used to find the most significant variables related to the road conditions, time and the main cause which have likely contributed to high rates of accidents. The empirical analysis was carried out using traffic data from the City of Belgrade. Implications for further research were discussed, suggesting that the findings can be used for more in-depth studies aimed at identifying the most significant cause of road accidents in any given area and that they could be extended and applied in other countries of the region.

Language: en