The current research seeks to identify the influencing factors on implementation of smart city plans based on approach of technical and social systems. For this goal, the library study is done and then based on that a research plan is written that include using expert opinions and data mining technique, feature selection ,clustering and also Delphi technique to identify and screen factors and then using clustering, the final factors are leveled. Here the aim is not ranking but is leveling. Meanwhile because of high numbers of factors, screening them in both steps using Delphi and feature selection is conducted. Delphi is one of the classic tests in qualitative approaches and feature selection include data mining techniques. Finally leveling factors include technical and social factors and the most influencing ones are determined. technical factors including digital infrastructure, ICT base transportation, ICT based logistic, building alarm systems, energy consumption adjustment, ICT based process are placed in level one. Social factors including digital and smart innovation, knowledge sharing, smart education, participation in sustainable development, access to educational plans, waste recycling, pollution control, productivity and flexibility of labor market are placed in level one.
