Author/Authors :
Salamati, Payman Sina Trauma and Surgery Research Center - Tehran University of Medical Sciences, Tehran, Iran , Moradi, Ali Department of Epidemiology - Faculty of Public Health - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Soori, Hamid Safety Promotion and Injury Prevention Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Amiri, Mousa Police Rahvar NAJA, Tehran, Iran , Soltani, Majid Sina Trauma and Surgery Research Center - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Background: Evaluation of intra-city roads in terms of environmental factors of motor vehicle injuries
can help us to better identify these factors and the share of each of the factors in injuries.
Therefore, this study was conducted to determine the high injury areas and the risk factors of motor
vehicle crashes resulting in injury and death in Tehran, the capital city of Iran, from November 2011
through February 2012.
Methods: In this cross sectional study, the locations of the motor vehicle injuries resulting in injuries
and deaths were obtained from police stations in Tehran. The coordinates of the injuries locations
were extracted and entered into the Arc-GIS software to overlay the different layers of geographical
data and extract the risk map.
Results: A total of 4257 motor vehicle injuries were evaluated in this study. Forty-two injuries
(1%) resulted in death and 4215 injuries (99%) resulted in injury. The traffic districts 5 and 21 had
the highest frequency of injuries resulting in death. The type of the motor vehicle resulting in injury
or death was motorcycle in 2330 injuries (54.73%).
Conclusion: The frequency of traffic injuries is more in the west and northwest areas of Tehran,
and it is caused more by motorcycles in terms of traffic and motor injuries resulting in injury and
death. It is useful to conduct more studies to better identify these factors considering their importance
in traffic injuries.
Keywords :
Iran , Motor Vehicles , Geographic Information Systems , Traffic , Injuries