Prioritization of accident risk indices based on multiple criteria decision making in the traffic police (Tehran City)

• Main Authors: Parvin Moridi, Ali Moradi, Fereshteh Taheri, Rasoul Yarahmadi, Ali Asghar Farshad
• Format: Article
• Language: fas
• Published: Iran University of Medical Sciences 2018-10-01
• Series: Salāmat-i kār-i Īrān
• Subjects: key words: interpretive structural modeling; fuzzy order of preference by similarity to ideal solution; indicator; hazard; safety; modeling; prioritization; accident.
• Online Access: http://ioh.iums.ac.ir/article-1-2294-en.html
• ISSN: 1735-5133; 2228-7493

Background and aims: One of the most common accidents that annoy many people in the world every year is road traffic accidents. Today, the largest share of accidents related to traffic accidents. Iran is one of the countries with the highest incidence and mortality due to road accidents and traffic. Survey of these events can identify the main factors, prioritization and preventive programs for them. Methods: In this research, the multi-criteria decision-making method based on FUZZY TOPSIS has been used to selection the main risk factors. Five criteria specific, measurable, achievable, realistic and timeable are used for prioritizing of traffic police risk factors. Results: In this research, fuzzy multi-criteria decision-making method has been used to selection the most important risk factors. Five criteria include: specific, measureable, Attainable, Realistic, and time frame were used for ranking risk factors in traffic police. According to the results, the humanchr('39')s behavior was identified as the most appropriate factors for road safety (coefficients = 0.204684). Safety equipment and vehiclechr('39')s usage were ranked in grade 3 and 4. Other indicators of risk in order of importance and influence were at lower levels. Conclusion: Identify and Priority of traffic risk factors would help to managers and policy makers for managing the factors affecting accidents. Humanchr('39')s behavior and humanchr('39')s decision were identified as main role in road accident control.