Integrating GIS and Spatial Analytical Techniques in Analysis of Road Traffic Accidents in Serbia

Road safety is an issue that is taking the major attention of a country's local authorities and especially in the context of decreasing the number of road traffic accidents. A top down view of the problem is illustrated starting from presenting the situation in European Union member countries and then passing on to the Western Balkan (WB) countries of Albania, Bosnia and Herzegovina, Croatia, Montenegro, the Former Yugoslav Republic of Macedonia, Kosovo and Serbia. Through the Slovak Academic Network (SANET) tool ArcGIS Desktop, it is possible to employ Network K-function and Network Kernel Density methods. In contrast with planar methods, the network methods are not biased as they are applied in the case when accidents occur in a network road. Network K-function results in finding whether the clusters exist. For determining the cluster locations, the Network Kernel Density method is applied. The multiple linear regression analysis method is used to find the most significant variables related to the road conditions, time and the main cause that affect high rates of accidents. To sum up, this study is applied in the City of Belgrade with implication for further research. The results and outputs of this research can be used in deepening the studies of finding the most significant causes that impact road accidents for a given area; it could be extended and applied in other countries of the region as well.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 155-165
  • Monograph Title: Proceedings of First International Conference on Traffic and Transport Engineering (ICTTE)

Subject/Index Terms

Filing Info

  • Accession Number: 01594750
  • Record Type: Publication
  • ISBN: 9788691615307
  • Files: TRIS
  • Created Date: Mar 29 2016 2:10AM