City Development Strategy (CDS), which aims at reducing poverty, bringing about sustainable development, enhancing participation, and creating good urban governance, has attracted the attention of many Iranian scientific circles. This approach can replace the previous inflexible plans for the removal of the future crises in all cities of Iran. It is clear that in case the novel city development strategies are not used and the old methods and policies are exercised, the problems of Iran cannot be solved. The main purpose of this study was to investigate the current status of Malard city using Meta SWOT model and to propose effective strategies to achieve sustainable development of this city. This study was descriptive-analytical in terms of research method, applied in terms of purpose, and mixed-methods in terms of approach. The statistical population was comprised of 50 managers of Malard city. Based on the obtained results, the reduction of water resources, excessive migration (especially the increase in the share of Afghans in city population composition), and social harms are the main obstacles to the sustainable development of Malard city that need to be taken into account in the strategic development planning process of this city. Moreover, among the factors effective on the sustainable development of Malard city, the suitable grounds for agricultural activities and   conversion and complementary industries as well as ethnic and cultural diversity have strategic fitness.

It has been years since innovation was first introduced as a driver of economic development. In addition, after a decade of attention to the regional innovation system policies in the Yazd province, this approach has not shown any positive effect on the development of the province. Thus, this study set out to provide a suitable model for the regional innovation system development in Iran following the investigation of the Yazd province as a case study. To this end, this study used the exploratory factor analysis and relative importance index to identify and analyze the key factors effective on the development of regional innovation system. The findings obtained from the opinions of experts and actors of this field showed that the three factors of human resources; the Science and Technology Park; and growth, innovation, and creativity centers in Yazd Province have the highest importance among all studied factors. This reveals the concentration of finances, policies, and projects on these factors and ignorance of other factors. In the light of the importance and the designated priorities, the factors of innovation system in Yazd province were classified into five groups. These included human and social resources, innovation infrastructure, innovation processes, business dynamics, and endogenous development. It can be concluded that so far, the concentration has been on the elementary stage of regional innovation system model – which essentially functions as the input for the system – and the innovation system in Yazd province is in its early stages. Accordingly to the obtained model of the study, the regional innovation system development in Yazd province needs concentration on the three groups of factors, i.e., innovation processes, business dynamism, and endogenous development.

One of the policies that has been taken into account by many countries to develop sustainable tourism is the development of touristic towns and villages in a centralized manner and the prevention of haphazard, unplanned contractions that destroy environment, sociocultural context, and economic structure of the touristic attraction sites. This policy was enacted by the Iranian cabinet in 2017. The purpose of this study was to present a methodology to identify the spaces suitable for the development of touristic towns and villages. The study was applied in terms of purpose and descriptive-analytical in terms of methodology. As the input of the analytic model, the spatial territory of Mazandaran province was divided into 23007 spatial units, each covering 100 hectares. Then, the development of touristic towns and villages were evaluated and prioritized. In this article, the combined index of “the priority of the development of touristic towns and villages in Mazandaran province” was made by combining exploratory factor analysis and network analysis (F’ANP) based on 14 factors effective on the development of touristic towns and villages. The resulting map was then trimmed based on four control indices. The findings of the model showed that the three factors of “environmental potential and transportation infrastructure,” “the quantity and quality of serving the tourists,” and “tourism investment potential” are effective on the prioritization of Mazandaran province spaces in order to develop touristic towns and villages. The results of study demonstrated that the development of touristic towns and villages in this province is possible in the middle and eastern side of seashore, in limited areas in the eastern plains, and in the eastern and western mountainous lands.

The progress of smartening cities on the one hand and the requirements of urban sustainability on the other hand have paved the way for transition to the sustainable smart city. The study at hand was carried out to present an optimal model of smart city from the viewpoint of sustainable urban development. This study was an applied research project in terms of purpose and a cross-sectional survey in terms of research method and data collection timespan. The statistical population included urban management managers and experts. The optimal sample size was determined to be 384 using Morgan’s table and the participants were selected via simple random sampling method. The data was collected through a questionnaire that had been validated through construct, convergent, and divergent validity measures. Using Cronbach’s alpha and combined reliability measures, the dependability of the questionnaire was confirmed. To validate the smart city model from the viewpoint of sustainable urban development, the partial least squares regression and Smart PLS software were used. According to the obtained results, the smart urban infrastructure and smart governance are the two cornerstones of the model that have the strongest effects on the creation of a smart city based on sustainable development. The effectiveness rate is decreased in the subsequent levels and the variables at the same level show mutual interaction. By affecting the smartening of transportation and influencing the technology-based smart businesses, these factors lay support to smart economy and environment. Then, through smart structures and smart people, the sustainable urban development can be attained, which in turn leads to smartening the city.