Explaining the Model of Knowledge Community Relations and Smart City in the Direction of Urban Sustainability, Case Study of Qazvin City

Document Type : Case study

Authors

1 Ph.D Candidate, Department of Urban Planning, Ayatollah Amoli Branch , Islamic Azad University, Amol, Iran.

2 Associate Professor, Department of Architecture and Urban Planning, Shiraz Branch, Islamic Azad University Shiraz, Iran.

3 Assistant Professor, Department of Architecture and Urban Planning, Research and Innoation Center, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran.

Abstract

Knowledge, at the beginning of the 21st century, has transformed into a key asset and the primary driver of economic and social growth and development. The transformation of knowledge into capital has led to changes in spatial arrangements in cities. In the era of globalization, cities that can excel in being "smart" and "knowledge-based" will be successful. What underscores the necessity of this research is the concern about the future and the problems arising from the persistence of current issues. Therefore, this study, aimed at presenting a smart city model based on a knowledge-based community, seeks to identify and analyze the key indicators of these two concepts and assess the relationships between them. The research was conducted using a mixed-method approach (combining quantitative and qualitative methods). Key indicators were identified through the fuzzy Delphi method, and the relationships between them were evaluated using exploratory structural equation modeling (SEM) and analysis in AMOS software. The statistical population included 50 experts and 374 residents of Qazvin. Based on the results of the fuzzy Delphi method, 51 items and 9 indicators were identified for the smart city, and 38 items and 8 indicators were identified for the knowledge-based community. Subsequently, using structural equation modeling, three different models were developed for the city of Qazvin. The results demonstrated significant relationships between the identified indicators in the research context. Furthermore, the proposed models effectively explained the connections between the knowledge-based community and the smart city. These relationships were particularly impactful in areas related to urban sustainability and improving the quality of life in Qazvin.
 

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