Analysis and identification of the hidden relationships between effective factors in the mortality rate caused by road accidents: A case study of Fars Province, Iran.
10.1016/j.cjtee.2018.11.004
- Author:
Saeed LOTFI
1
;
Ali Reza HONARVAR
2
;
Saeid GHOLAMZADEH
3
,
4
Author Information
1. Department of Information Technology and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran.
2. Department of Information Technology and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran. Electronic address: alireza_honarvar@yahoo.co.uk.
3. Department of Information Technology and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran
4. Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
- Publication Type:Journal Article
- Keywords:
Fars province Iran;
Mortality;
Road traffic accidents;
Vehicle
- From:
Chinese Journal of Traumatology
2019;22(4):233-239
- CountryChina
- Language:English
-
Abstract:
PURPOSE:An analysis and identification of the hidden relationships between effective factors in the mortality rate caused by road accidents in Fars Province of Iran to prevent and reduce traffic accidents in the future.
METHODS:This cross-sectional study was conducted to integrate all the pervious researches performed on mortality rate of road traffic accidents in Fars Province from March 21, 2013 to March 20, 2017. In order to reveal the relationships between the factors affecting mortality rates of road traffic accidents, the data regarding road traffic accidents extracted from resources such as Legal Medicine Organization, Traffic Police, Accident & Emergency Department, as well as Department of Roads and Urban Development of Fars Province, then cleaned and the applicable attributes embedded in the data all aggregated for further analysis. It should be noted that the data not related to Fars Province were deleted, the data analyzed, converted and the aggregation between various attributes identified. The aggregation between these different attributes as well as the FP-growth algorithm and two indexes of support and confidence calculated and interesting and effective rules extracted. In the end, several accident-provoking factors, the degree of consecutive and interdependence of each one in road accidents identified and introduced. The statistical analysis was conducted by using Rapid Miner software.
RESULTS:Of the 6216 people dead due to road traffic accidents, 4865 (79.02%) were male and 1292 (20.98%) were female, 59 of them have no clear gender. The largest portion of people died of road traffic accidents belonged to married and self-employed men who collided with motorcycles in autumn. Moreover, young individuals (aged 19-40 years) with secondary educational level who died of accidents in summer at 12:00 a.m. and then 5:00 p.m. in outer city main roads of Kazerun-Shiraz, then Darab-Shiraz, Fasa-Darab and in within-city main streets had the highest mortality rates. Among women, the middle-aged group (aged 41-65 years) followed by young-aged group (aged 19-40 years) with elementary educational level and then illiterate accounted for the highest mortality rate of road traffic accidents. The automobiles involved in accidents included Pride, Peugeot 405, Peykan pickup, Samand, Peugeot Pars, other vehicles and motorcycles.
CONCLUSION:The high mortality rate of illiterate and low-literate in various age groups indicates that educational level plays a crucial role as a factor in road accidents, requiring related organizations such as Traffic Police and Ministry of Education to take necessary measures and policies.
