Measuring and evaluating the results of smart city projects in different countries and extracting superior models in order to improve the performance of future projects

Upgrading and transforming cities into smart cities is a very important issue and a new challenge that can improve the quality of life and services for citizens, increase resource efficiency, and benefit from advanced technologies and communications. This research aims to evaluate the results of smart city projects in different countries and extract the best patterns to improve future projects.

The research will be conducted in both qualitative and quantitative sections. In the first section, the challenges and opportunities of smart city projects in Iran will be examined by 30 experts in the field of smart cities. In the second section, by completing a questionnaire by employees of various urban municipalities, factor analysis and the relationship between variables will be analyzed using Amos16 software. Using these criteria, top and successful patterns were also identified using the pls factor analysis software.

The results showed that the number of repeated themes for environmental protection had the highest value with 183 themes. Efficiency and operation were also among the top themes with 181, followed by the quality of the urban environment with 145 themes. Finally, the number of repeated themes for safety and security had the lowest value with 97 themes. Creating a collaborative space between countries to share experiences and knowledge related to smart city projects is very important and can facilitate the improvement of future projects in different countries.