Developing a Cause Prioritizing Model to Identify High Accident Prone Segments of Roads for Pedestrians

One of the most important and effective factors in prioritizing high accident prone segments of roads for pedestrians is accident cause which up to now has been neglected in current methods. Since accidents are not additives due to various reasons, prioritizing these segments without considering the accident cause makes the selection of high accident prone segments inaccurate. In this paper, by introducing the "Cause prioritizing model", a new model was developed in order to rank high accident prone segments for pedestrians with regard to accident cause in rural roads. In this method, by taking the accident frequency, accident severity and accident cause parameters are accounted and using one of the Multi Attribute Decision Making methods, the mentioned segments are prioritized. Using the model developed in this research will increase the accuracy and utility of high accident prone segments prioritizing process for pedestrians to a great extent.