Prioritizing Factors Affecting Road Safety Using Fuzzy Hierarchical Analysis

Road safety is recognized as one of the most important factors in transportation system of the world as well as in reducing road accidents. Currently, heavy expenses are spent for reducing road accidents and casualties, however, authorizes haven't so far achieved satisfactory and desirable results. It appears that adoption of global solutions might be effective in securing roads safety and making necessary planning and management in this regard. In the present study, researcher with the use of AHP Fuzzy method has tried to identify and determine the importance level of the effective factors on the safety of northern roads in Iran. For this purpose, a research population consisted of 125 traffic and transport mangers, practitioners and experts have responded to a 78-item questionnaire and finally, 23 factors were identified as the effective factors on safety of the northern roads of Iran. Research results indicated that with the adoption of AHP FUZZY method, the indicators of advertising in national media, reduced average age of vehicles and appropriate designing of road geometry respectively have the highest weight and importance with 0.126, 0.082 and 0.065 weights.