Abstract
OBJECTIVESAccording to Traffic Police, about 35% of deaths and more than 50% of injuries caused by traffic collision in the roads of Tehran are among drivers and car occupants. This study was conducted to determine areas with the highest number of traffic collisions and perform spatial analysis of traffic collisions involving drivers in Tehran during April 2014 to March 2017.METHODSThe present study was a cross-sectional and descriptive-analytic research. In this study, all traffic collision that driver was accounted (100 percent or less) for crash occurrence which resulted in the death of at least one person (driver, pedestrian or passenger) were included in the analyses. Geographic information system software was used to show spatial distribution of events from zoning maps. Moran index was used in the mathematical analysis in order to determine the distribution pattern of the events from and Getis-Ord G statistics was applied to analyze the hot spots (high risk points).RESULTSA total number of 519 traffic collisions were investigated in this study. Moreover, 283 cases (54.5%) of the incidents took place in direct routes and 236 cases (45.5%) occurred at intersections. The most frequent events were in the region 4 (57 cases) and the least frequent events were reported in the region 10 (6 cases). Moran statistics show that the distribution of the studied events significantly follows the cluster pattern (p<0.001).CONCLUSIONSThe northeastern and northwest margins of Tehran are the most prone areas for drivers involved with traffic collisions leading to death. Most traffic collisions leading to death take place at highways located at the entrance and exit points of Tehran and highways in regions 2 and 5.
Highlights
IntroductionAs one of the main causes of death and disability in the world, cause annual deaths of 1.35 million people and
All traffic collisions that at fault involved driver (100% or less) for traffic collisions occurrence and the traffic collisions resulted in the death of at least one person; driver, pedestrian or passenger were included in the analysis
Mathematical analyses were done in the following order: (1) Determining the location of the events: The exact address of the location of at fault drivers involved in fatal traffic collisions was extracted using their sketch maps at the traffic police database
Summary
As one of the main causes of death and disability in the world, cause annual deaths of 1.35 million people and. According to the study of the global burden of diseases, in terms of the number of years of life lost due to premature death or disability, the world’s leading road traffic injuries (RTI) were ranked ninth in 1991 and are projected to rise to third in 2020 [2]. In the European and Eastern Mediterranean countries, 51% and 45% of road traffic deaths occur in this category of road users [3].
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