01506363

Component

http://onlinepubs.trb.org...s/2011/RSS/3/Al-Taei,A.pdf

Traffic crashes are one of the main problems in Kurdistan Region. Many people die or are injured because of traffic crashes taking place every day at very high cost. Crash data, collected for many years, serve as the ground base for programs designed to reduce the number of traffic crashes. The study was achieved by collecting, preparing, and analyzing the crashes, traffic and geometric data that were related to Duhok urban street network. Crash data were taken from 529 traffic crash reports for the four years (2006-2009). Traffic and geometric data were obtained through on-site investigation and field studies in the study area. In order to decrease the rate of traffic crashes, traffic crashes analysis ws carried out, for the collected data during the four years study period, for different identified hazardous locations ( i.e., Street Sections, Intersections and Local Zones) by using various statistical and numerical methods and using the techniques of GIS (Geographic Information System) for Spatial Association. After the identification of different hazardous locations, a step-wise multiple linear regression analysis was applied to the collected data from the selected hazardous locations by the aid of some computer programs packages such as SPSS and Minitab software to drive the most appropriate empirical models that could satisfy the best representative relationships, implementing the available correlation matrices obtained between the dependent and the independent variables. It was found that the average daily traffic volume, running speed and truck percentage are strongly correlated with the crashes occurrence on the street sections and intersections, while population density and distance between local zones are very well correlated with crashes occurrence on zones in the study area. The study concluded that, using GIS technique resulted in detecting HALs was compatible with the results obtained by the traditional methods currently used in the identification of hazardous locations in urban areas. Other recommendations are proposed in this study for further and continuous future studies .

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01501394

English

16p

2011

3rd International Conference on Road Safety and Simulation

Digital/other

Figures; Maps; References; Tables

Average daily traffic; Crash data; Crash rates; Crash reports; Geographic information systems; High risk locations; Regression analysis; Urban areas

Kurdistan (Tanker)

Highways; Safety and Human Factors; I80: Accident Studies

TRIS, TRB, ATRI

Jan 31 2014 11:09AM