Designing the management model of future smart cities based on the components of the citizenship education system

The method of this research is practical in terms of purpose and it was done in an exploratory way. The method of data collection is a mixed method (qualitative and quantitative) and the tools of data collection are interviews with experts by conducting specialized interviews using the Delphi method, and a questionnaire. Then, through the implementation of the questionnaire, data analysis was done in the qualitative part by coding method (open, axial and selective) and in the quantitative part, the collected data was analyzed in two descriptive and inferential methods through SPSS and Smart PLS software, and the data was analyzed in the inferential analysis using the factor analysis method. (Exploratory factor analysis/Confirmatory factor analysis)The results showed the identified components of the citizenship education system: altruism, work conscience, chivalry, civil behavior, politeness and consideration, rule of law, cooperative spirit, responsibility, self-confidence, socio-political behavior, behavior based on religious and national teachings, environment. and sustainable development and finally smart governance with their indicators were accepted under the title of dimensions and components of the citizen education system model that have more influence in the management of future smart cities. five factors were proposed with high priority. These factors are: first priority: politeness and consideration component; Second priority: the spirit of participation component; Third priority: legalism component; The fourth priority: the civil behavior component and the fifth priority: the responsibility component. Model fit indices in factor analysis confirm the model fit.