2020
DOI: 10.4178/epih.e2020002
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Geographical distribution of at fault drivers involved in fatal traffic collisions in Tehran, Iran

Abstract: OBJECTIVES: According 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.METHODS: The present study was a cross-sectional and descriptive-analytic research. In this study, all traffic collision that driver wa… Show more

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Cited by 6 publications
(4 citation statements)
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“…The spatial clustering of hotspots can be mapped in point forms using statistical mapping approaches (tools or programs in the GIS), such as K-means [39], Moran I Incremental Spatial Autocorrelation Method [40][41][42] Statistics on Getis Ord G i [43][44][45][46][47][48][49][50][51][52] and Kernel Density Estimation (KDE) [45,[53][54][55][56].…”
Section: Road Accident Hotspotsmentioning
confidence: 99%
See 1 more Smart Citation
“…The spatial clustering of hotspots can be mapped in point forms using statistical mapping approaches (tools or programs in the GIS), such as K-means [39], Moran I Incremental Spatial Autocorrelation Method [40][41][42] Statistics on Getis Ord G i [43][44][45][46][47][48][49][50][51][52] and Kernel Density Estimation (KDE) [45,[53][54][55][56].…”
Section: Road Accident Hotspotsmentioning
confidence: 99%
“…The hot spot analysis results identified specific road segments and intersections with a high concentration of hotspots. The study conducted by Rahman et al [47] investigated the incidence of fatal road accidents in Bangladesh through the utilization of a novel newspaper-based approach that employed grids to establish a comprehensive database of road traffic fatalities. The Getis-Ord G i * was employed to delineate spatiotemporal hotspots and trends.…”
Section: Road Accident Hotspotsmentioning
confidence: 99%
“…In recent years, based on substantial volumes of traffic accident data and with the help of GIS platforms, in-depth studies on urban traffic accident hotspots have been conducted [9][10][11][12][13]. GIS-based traffic accident hotspot identification methods include the kernel density estimation method, the local Moran's I, the Getis-Ord Gi* method, and so on [14][15][16]. Some studies focus on highway traffic accident hotspots.…”
Section: Literature Review 21 Traffic Accident Hotspotsmentioning
confidence: 99%
“…Ranging from − 1 to + 1. This index is the most useful index for measuring spatial correlation between points, events and phenomena [Kavousi, et al 2020]. In our study 95% signi cance level (P < 0.05) was considered.…”
Section: Statistical and Spatial Analysismentioning
confidence: 99%