شهر هوشمند

The components of urban form—such as public spaces, buildings, facilities, and transportation infrastructure—play a crucial role in shaping and enhancing the functionality of a smart city. Integrating smart technologies into urban form facilitates efficient urban management, improves services, and fosters a high-quality, sustainable urban environment for citizens. Therefore, this study aims to examine the research methods employed in studies exploring the relationship between urban form and smart cities, with the goal of identifying new research solutions through the analysis of these studies. The research approach is both mixed and applied, utilizing the Fararoosh framework to address the research questions. The selected articles, spanning the recent five-year period (2018–2023), were analyzed using MAXQDA software. The findings indicate that many studies in this field have employed theoretical models or case studies, limiting the generalizability of the findings to specific cities. Most research methods in this area have been quantitative, focusing on aspects of smart cities. The impacts of smart cities on urban living are complex and multifaceted, necessitating interdisciplinary collaboration and empirical research for a comprehensive understanding. Therefore, it is essential to uncover the relationships between paradigms, temporal horizons, approaches, and the nature of research, as well as the methods and analytical tools used in these studies. The adoption of new research methods is necessary for developing a methodological framework for sustainable smart city planning based on strategic data. Achieving a smart and sustainable urban form requires a comprehensive and interdisciplinary approach.

Rapid urban expansion has always been one of the most important spatial-spatial phenomena It is considered in many countries of the world, including Iran and this issue has caused serious damage to the national, regional and urban space in Iran Islamshahr city is one of the areas around the metropolis of Tehran, which in recent decades due to the cheapness of land, housing, potential and regional position, has always been considered by immigrants and today, the phenomenon of urban creep in it has created many problems in various aspects Therefore, the present study with descriptive-analytical, applied and exploratory methods to the role of urban creep phenomenon in spatial-spatial developments of settlements in the metropolitan area of ​​Tehran (Case study: Islamshahr city and sphere of influence) The statistical population of the present study consists of all experts in the field of urban creep, with a sample size of 50 people In order to analyze the research findings, spss-excel and lisrer software were used to encode and analyze the data obtained from the questionnaires. The results of research on environmental - physical, economic - social and managerial factors have been the most important factors affecting urban creep in Islamshahr At the same time, urban creep has not affected the spatial development of Islamshahr city, but creep has affected the spatial development aspects of Islamshahr city.

The smart city has attracted a lot of attention in urban planning in recent years and its development can provide the basis for improving social capital and sustainable security; Therefore, the aim of this research is to know the effect of smart city on improving the sense of security with the mediating variable of social capital.

This research is applied in terms of purpose, and in terms of the data collection method, it is descriptive of the correlation type, and the statistical population of the research is made up of postgraduate students and professors of sociology and social sciences of Amin University of Administrative Sciences. The variable research tool of smart city and sense of security is the researcher-made questionnaire, and social capital is the Nahapit and Ghoshal (1998) questionnaire. The validity of the tool has been checked through its content validity and reliability using Cronbach's alpha coefficients and confirmed as 0.84, and the data has been analyzed based on the structural equation modeling method.

According to the findings of the research, the direct effect of the dimensions of the smart city on the feeling of security is equal to 0.629 and social capital is equal to 0.583, and also, the direct effect of social capital on the feeling of security is equal to 0.601 at the level of 0.000. It is meaningful and positive. On the other hand, the dimensions of the smart city indirectly and through social capital have an effect equal to 0.341 on the sense of security.

The results show that the dimensions of the smart city can predict 0.472 of the changes in the sense of security, and therefore, with the establishment and development of the dimensions of the smart city, it is possible to increase the social capital and sense of social security among the citizens. upgraded

Today, moving towards smart cities is not only a reality, but a necessity in order to solve the current problems of urbanization, including in the city of Ahvaz, which is full of problems. Therefore, the purpose of this research is to analyze the realization of the smart city from the perspective of the macro components of such cities. This article is considered among applied-developmental researches. It is question-oriented and it has been done in a document-library and survey form; in an exploratory way using the exploratory factor analysis method, Kolmogorov-Smirnov, Shapiro-Wilk tests; And a sample t-tech test and Friedman's rating test have been done in response to the research questions. In order to collect descriptive data, library and documentary studies were used, and survey method and questionnaire tool were used to collect analytical data. The statistical community of the research included academic experts. The sampling method was a two-stage cluster. ; Finally, 142 samples were selected. The final content validity of the questionnaire was confirmed by the opinion of the professors, after some corrections, and the Cronbach's alpha coefficient of 0.878 for the entire questionnaire showed the desirability and acceptability of the reliability of the questionnaire. For the quantitative content validity of the questionnaires, 10 experts, familiar with Ahvaz metropolis, and the relative coefficient of content validity (CVR) method were used. Kendall's W test (Kendall's correlation coefficient) was used to measure the credibility of the questionnaires and how reliable it is. Based on the findings of the research, the situation of the metropolis of Ahvaz is not suitable in terms of the macro components of the formation of smart cities in the current situation.

The global outbreak of COVID-19 has disrupted the normal lives of citizens and the provision of services in cities around the world, and despite the guidelines and programs that cities have for emergencies; the widespread outbreak of the disease has left cities with a lack of capability and resources to deal with it. Hence, the prevalence of COVID-19 led to more emphasis on the role and importance of smart cities in dealing with and preventing crises. Because it combines the capabilities of the real and virtual world to solve urban problems. Therefore, the purpose of this study was to identify smart city indicators for reducing the COVID-19 risk. The present study is a descriptive-correlational and applied study that has been conducted using exploratory factor analysis with principal component analysis. The statistical population of this study is citizens living in the new town of Baharestan. Using available sampling method, 382 people were selected as sample members. The main tool for collecting information was a questionnaire. Descriptive and inferential statistics were used to analyze the obtained data. Findings from exploratory factor analysis led to the identification of three factors: smart services, smart health care and smart mobility. smart cities with the above three factors, have the ability to reduce the risk of corona and can play an important role in the optimal control and management of the situation in the event of such crises. Building smarter cities can support significantly better outbreaks and are crucial to saving lives. Evidence suggests that the risk of COVID-19 can be reduced with the help of smart city solutions. The need for smart cities is essential for the epidemic. COVID-19 epidemic has increased the demand for smart city and justified its existence.

The smart cityis an innovative city with sustainable economicdevelopment, quality life and equipped withmodern infrastructure in whichservice, economic, social and governance processes will be carried out accurately, quickly and easily. The purpose of this study is spatial analysis of urban smart city indicators in Zahedan. According to the objectives of the research, the type ofresearch is applied and the research method is descriptive-analytical.The method of data collection and information is documentary and survey.Since the spatial analysis of smart city indicators is also a multi-criteria decision-making problem, therefore, in the present study, the Vikor multi-criteria decision-making model as well as the pairwise weighting with the hierarchical analysis model Fuzzy (FAHP) has taken place.The results of one-sample t-test showed that the indicators of smart city in Zahedan are all below the desired average (3)and are in an unfavorable situation. Smart Dynamics Index with an average of 2.832, Smart People Index with an average of2.809, Smart Life Index with an average of2.755, Intelligent Environment Index with an average of2.769 and Smart Governance Index with an average of 2.887are all in an unfavorable situation.The results of Vickor model also show that region1 with a weight value of 0.087 is in the first priority. In other words, this region is in the best condition in terms of smart city indicators.Zone 2 with a weight of 0.165 is in the second priority, Zone5with a weight of0.324 is in the third priority, Zone with a weight of 0.787 is in the fourth priority and Zone 4 with a weight of 0.857 is in the last priority.The results show that the areas of Zahedan city are in an unbalanced situation in terms of smart city indicators and in thi regard, the five areas of the city are very different from each other.Keywords: Spatial Analysis, Smart City, Zahedan City.