Scenarios of smartening the city and policy making to realize the desirable scenario (case study: Qazvin city)

The excessive consumption of natural resources, the growing trend of environmental pollution and efforts to improve the quality of life in different dimensions have led to providing new solutions to solve the challenges of future cities. In this direction, the creation of smart cities has attracted the attention of academics and urban planners, mainly in the framework of urban development policies. Therefore, the main goal of current article is to introduce the scenarios resulting from the smartening process with an emphasis on the city of Qazvin. The current research is applied in terms of its purpose and descriptive-analytical in terms of data collection and analysis method. In order to collect information in the field of theoretical foundations, the documentary method was used, and the field method was used to collect data in order to analyze and answer the main research question. According to the findings of this research, 16 drivers were identified using the Delphi method; And after examining the extent and how these drivers affect each other, four key uncertainties of Qazvin city's smartening were identified. Considering the different states of four key uncertainties of sustainable management, new technologies, development of social innovation, international economy; And by using the CIB method through the Scenario Wizard software, three alternative scenarios were obtained for the future of Qazvin city in the direction of smartening that first scenario is the desirable scenario of smartening Qazvin city. According to the research results in Qazvin smart city policy making, In order to succeed as much as possible in the field of smartening Qazvin city, international technology-based companies (NTBFs) should be considered; Because we can find the actuality of the four uncertainties of sustainable management, new technologies, development of social innovation, and international economy in these companies.