Identification of factors that cause the victim of road accidents: A case study of Erbil city
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Abstract
This study aims to show the factors that cause traffic accidents. In this study, some factors have been identified as the reasons for Road Traffic Incidents, it searched for a correlation between several sociodemographic factors and the number of accidents, including gender, age. On the other hand, Factor analysis is used to refer to the identification of dependent variables consisting of Speed, Poor roads, Alcoholic beverages, Trucks out of town, type of vehicle, Failure to comply with traffic laws, driving at night, driving in the fog, Use of mobile phones by drivers, Driver fatigue, Failure to obey a stop sign or red light, Temporary obstacle, Street racing, and Construction site. A questionnaire was used in this research to collect data. 231 Erbil City residents of both genders answered the survey at random. Using the Bartlett's test of sphericity and the Kaiser-Meyer-Olkin (KMO) of sphericity, we confirmed the sample's suitability for factor analysis. This research provides important conclusions for traffic accident control by identifying the most important factors that lead to loss of life and property. These factors have a direct impact on the social and economic conditions of the community.
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References
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