Analysis and evaluation of the impact of human role in suburban freight road accidents

Nowadays, traffic accidents have become one of the biggest problems for people and transportation planners. In addition to the movement of passengers during the day, especially on inner-city roads, the movement of goods is also carried out along the path of passengers. The difference is that the movement of goods is carried out by special vehicles that have special characteristics. In the present study, accidents in the inner-city freight fleet have been investigated. The cause of each accident is one of the road, human, and vehicle factors. In this study, using statistics obtained from the forensic medicine, the Isfahan City Freight Transportation Deputy, and a traffic police survey, accidents have been collected in full detail (type of vehicle, age, gender, culprit, education, etc.). This data is presented in tables in the text of the study. Using Super Decision software, the relationships of each of the factors affecting accidents with its subsets have been identified and presented. Also, using SPSS statistical software and existing data, accident predictions have been made. After identifying high-risk behaviors, critical human conditions (high-risk ages, etc.), accident-prone routes (accident-prone points), accident-causing violations, etc., solutions have been proposed to reduce accidents, the most important of which is the spatial-temporal limitation of vehicles. Considering that about 60 percent of freight fleet accidents are related to humans and their characteristics, a spatial-temporal plan is the best choice for reducing intra-city collisions.