Providing an Appropriate Prediction Model for Traffic Accidents: A Case Study on Accidents in Golestan, Mazandaran, Guilan, and Ardebil Provinces
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 97
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شناسه ملی سند علمی:
JR_HDQ-4-3_007
تاریخ نمایه سازی: 27 آذر 1402
چکیده مقاله:
Background: Road traffic accidents in Iran are a critical issue that hinders economic development and one of the main threats to the health and safety of people in the community. The statistics indicate that after cardiovascular diseases, traffic accidents are the second leading cause of death in different age groups, which reflects the necessity of prediction in this area.
Materials and Methods: The present study investigated the data of the traffic-accident injured people between April ۲۰۰۹ and March ۲۰۱۲ in Golestan, Mazandaran, Guilan, and Ardebil provinces, presented to forensic medicine. We used the Box-Jenkins method as one of the most advanced methods in prediction and future studies in the field of health systems, to estimate the number of injuries by province, for the years ۲۰۱۶ to ۲۰۱۹.
Results: The obtained results suggested the appropriate time series patterns for predicting injured people in Golestan Province with autoregressive integrated moving average (ARIMA) (۴, ۲, ۴), Mazandaran Province with ARIMA (۳, ۱, ۵), Guilan Province with ARIMA (۳, ۱, ۴), and Ardabil Province with ARIMA (۵, ۱, ۲). Furthermore, the mean percentages of absolute error for different provinces were as follows: Golestan Province, ۰.۱۱۴; Mazandaran Province, ۰.۰۶۴; Guilan Province, ۰.۰۷۸; and Ardabil Province, ۰.۱۲۵۰. These data demonstrate the high precision of the Box-Jenkins method in predicting the number of traffic-accident injured people, especially in Mazandaran and Guilan provinces. Estimated values for ۲۰۱۶ to ۲۰۱۹ indicate that the road traffic injuries are increasing in Golestan Province and decreasing in Mazandaran, Guilan, and Ardebil provinces.
Conclusion: The high precision of the Box–Jenkins method makes it an appropriate way for experts and authorities to predict traffic accident injuries in Golestan, Guilan, Mazandaran, and Ardebil provinces. The reduced number of casualties in Mazandaran, Guilan, and Ardebil indicate a progressive improvement in the transportation system conduct in these provinces. Moreover, Golestan Province is moving towards an increase in traffic accidents, requiring re-planning to reduce accidents there.
کلیدواژه ها:
نویسندگان
Mohammad Reza Omidi
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University، Tehran, Iran.
Meysam Jafari Eskandari
Department of Industrial Engineering, Payame Noor University, Tehran, Iran.
Sadigh Raissi
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University، Tehran, Iran.
Amir Abbas Shojaei
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University، Tehran, Iran.
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