فصلنامه برنامه ریزی توسعه کالبدی
پیاپی 23 (پاییز 1400)

Saeedabad Shahryar sub-district has witnessed rural industrial development (Golgun town) during the last two decades. The purpose of this study is to investigate the effects of Tehran sprawl on economic indicators from the perspective of rural industrial development. The present research is applied in terms of purpose and follows a descriptive-analytical method. The statistical population includes residents of the old texture of Saeedabad village and its surroundings who have experienced the effects of urban sprawl and industry development. The impact of industry development in the region was measured based on two indicators of increasing the local labor market and increasing the added value of industrial products to the region in the form of 6 items. Using the sample estimation method in the regression technique (thumb rule) N≥8k + 50, the sample size of 98 people was determined. The samples were selected by random sampling method and saturated with 85 samples and the completed questionnaires were analyzed in SPSS software. The results showed that the business boom is mainly for the specialized group in Golgun town and to some extent for the villagers and the durability of the population. The industrial development of the village has not had a significant effect on reducing the unemployment rate of the villagers and has only increased the non-native population. The present study proposes strategies for conservation and protection of natural resources, implementation of optimal land use model and support of human resources to balance the effects of rural development from the perspective of industry.

Emphasizing the importance of sustainable urban development, the present study analyzes the futuristic approach and various factors of sustainability in the form of a system in districts one and two of Mashhad. The research follows a descriptive-analytical method using documents, questionnaires, interviews and software analysis. Based on previous studies, 30 initial variables of sustainability were selected and then based on the opinions of 30 experts, six key variables in economic, socio-cultural, physical and environmental dimensions for district 1 and six key variables in economic and physical dimensions for district 2 in the impact matrix MICMAC software crossover was identified. Then, after defining the favorable, mediocre and catastrophic situations for each of the key variables, the experts were asked to consider the effects of situations on each other in the range of 3- to 3 with regards to conditions of the studied districts in order  to use the SCENARIO WIZARD software for analyzing the present patterns of the studied areas. The results of this analysis predict a favorable scenario and a catastrophic scenario for district 1 and five favorable scenarios, a middle scenario and a catastrophic scenario for district 2. If the first scenario, which is the most favorable future for the progress of each district, is not realized, the middle scenario, which is in fact the current situation, and the catastrophic scenario, which is the destruction and reduction of sustainable factors, will be pursued. Although institutional sustainability does not play a key role in the sustainability of districts, but it strongly affects other variables of sustainability. According to the results of matrix analysis of cross-effects, physical, socio-cultural, economic and environmental dimensions play a key role in the sustainability of district one, and physical and economic dimensions play a key role in the stability of district two.

One of the most important plans of the government to organize the country's villages in the last two decades has been the rural conducting plan. It seems necessary to evaluate the consequences of the implementation of these plans in different dimensions in order to know the results and also to identify their strengths and weaknesses. The aim of the present study was to evaluate and analyze the level of satisfaction of villagers with the economic, social and physical performance of the implementation of the rural conducting plans in Divshal rural district. The research is descriptive and survey type. The statistical population of the study was 2671 rural households and the sample size according to Cochran's formula was 336. Data analysis was performed using Pearson correlation coefficient test, regression test and path analysis using Amos software. According to the research findings, the correlation coefficient was 0.708, according to which there is a direct and positive relationship between the implementation of the rural conducting plans and the realization of villagers' satisfaction with the rural environment. Based on the adjustment coefficient (0.63), more than 63% of the satisfaction indicators can be explained. The results of one-sample t-test showed that the performance of the rural conducting plans in different dimensions was higher than the theoretical median of the research objectives. According to the results of route analysis, the highest impact belongs to the variables of housing and environment and the least impact belongs to the variables of participation and employment in the non-agricultural sector. As a result, the physical dimension of the project implementation had the most and the social dimension had the least impact on the level of villagers' satisfaction with the implementation of the rural conducting plans.

Up-to-date information on land use and land cover, especially in urban areas, and awareness of its changes and developments over a period of time is very important for planners and managers. The present study aims to monitor spatial changes in land use and land cover in the urban area of Babol and Amirkola in the period 1986 to 2020 and forecasting it for 2030. The present research is applied based on the purpose and descriptive-analytical based on the nature and method. Data are taken from Landsat 5 and 8 satellite images. The Fuzzy ARTMAP model was used to detect and classify images, the cross-tab and LCM models were used to analyze land use and land cover changes, and the CA-Markov model was used to predict land use and land cover in 2030 in the IDRISI TerrSet software environment. ArcGIS software was also used to draw the final maps. The results showed that the conversion of garden-use and irrigated agriculture into the built environment has a growing trend, so that these lands have increased from 11.3% in 1986 to 19.7% in 2020 and according to the forecast by 2030, built-up land will reach 22.2% of the total area. Also, the ratio of built-up to non-built land has increased from 12.8 percent in 1986 to 24.5 percent in 2020, and is projected to reach 28.6 percent in 2030, which shows the high rate of garden and agricultural lands destruction.

The present study, using spatial analysis models and in the framework of the "spatial diffusion" approach, has evaluated the position of the central core of Torqabeh city from the perspective of population groups. This evaluation includes two periods: 1- Slow growth (before 2006) and 2- Rapid growth (after 2006). Research variables include population, number of women, elderly, youth, employed, unemployed and illiterate. The scale of analysis comprises 1476 urban blocks and three periods of 1996, 2006 and 2016. For this purpose, a spatial database including the population characteristics of Torqabeh city and its central core was created and then data were analyzed using spatial statistical tools and techniques such as Getis-Ord Gi and Grouping Analysis. The results of this evaluation showed that before 2006, the central core was the origin of all population groups and was different from other urban areas. But after 2006, population groups with the dominant pattern of "continuous spatial diffusion" move out from the central core and settle around it. Spatial analysis models show that as a result of these changes, the central core of Torqabeh does not lose its position compared to other urban areas. Rather, this process causes some areas to become more similar to the central nucleus and the population characteristics of the central nucleus to be multiplied in other regions. The spread of population groups around the central nucleus and its adjacent areas, on the one hand, indicates the desire of individuals to be present in this area and show spatial cohesion, and on the other hand indicates the existence of a distinct pattern of central nucleus changes in physical growth which is different from common patterns in large cities.

Today's urban physical spaces are not a suitable environment for the formation and strengthening of mutual social relations and participation in the form of social groups. Social relations are influenced by different characteristics of organizing the environment and its effect on the behavior and formation of human social capital is obvious. These features include cohesiveness, permeability, readability, and scale. In fact, the quality of human presence and social activity is not independent of the space and they have a bilateral relationship with each other. Recently, several efforts have been made to promote social interactions, but the level of social capital has not changed significantly. A review of the research background in the field of physical environment has shown that spatial domains have been neglected. Therefore, the purpose of this study is to assess the relationship between spatial domains (private, semi-private and public) with social capital at the neighborhood level. The present study is a case study that analyzed survey data obtained from a sample of 382 people in Ekbatan, Tehran. The selection of the statistical population is based on the results of socio-cultural clustering of Tehran neighborhoods (2015), social science studies of Al-Zahra University and the author's field observations. The results of statistical analysis of the refined questionnaires showed that satisfaction with the private domain, appropriate environmental qualities in the public domain and self-esteem (as one of the individual characteristics) are correlated with social capital. Also, the existence of important activities and common behavior in public service spaces is effective in promoting social capital. Findings showed that paying attention to residents' housing and improving the physical quality of semi-private and public areas should be a priority in local planning.

The present study has evaluated the important factors of environmental quality differences in residential areas of Mashhad with regard to social conditions and environmental disturbances by descriptive and analytical methods. Data were collected from a sample of 384 participants using a researcher-made questionnaire. For this study, data on environmental conditions, disturbances, and social interactions were collected. The collected data were analyzed using various statistics, especially Chi-square test and generalized logistic regression in SPSS software. The results showed that traffic-induced pollution in neighborhoods has a high prevalence and other pollutants, depending on the type, are often point-based and each area has its own conditions. In determining the levels of spot pollution, underlying factors such as length of stay in the city, education, age and socio-economic status were decisive. So, that people with a better history of residence and socioeconomic status expressed dissatisfaction more than others regarding the severity of pollution, especially in relation to environmental dimensions (2.3-21.3), tensions (3.6-4.4), and social anomalies (2.0-4.4). Given the differences in the level of damages received by residents, how to intervene is fundamentally challenging. Under these circumstances, planning and solving environmental problems is easily possible, but controlling different sensitivities is extremely difficult.

The idea of a creative city emphasizes that at first glance, there are always potential opportunities in cities that, if considered by city planners and managers, can have a lasting effect on the flourishing of urban creativity. Although the basis of urban creativity is cultural indicators, but the wide range of urban capacities from human and social capital to cultural, educational, scientific, religious, social and economic facilities have fewer grounds for the emergence of creativity. Tehran, as the capital and the most important metropolis of the country, has vast capacities to take steps towards a creative city. Ethnic and cultural diversity, specialized creative class, and many spatial capacities are among the most important advantages of Tehran to be a creative city. In this study, through survey work and specialized CVI and CVR questionnaires completed by 25 urban planning specialists and professors, several valid and reliable spatial-ecological indicators that affect urban creativity were identified. Then, by compiling a qualitative questionnaire based on the statistical population of 9423703 people in Tehran metropolis and a sample population of 385 people, using urban planning models and using ArcGIS10.3, SPSS 21 and Topsis Solver3.1.0 software, the analysis was performed. By summarizing the results of questionnaires and statistical analyzes of spatial indicators, 17 out of 22 districts of Tehran were in very poor to good clusters and five districts were in very good and excellent clusters. District 6, being located in cluster 1, had the conditions of a creative city, and districts 17 and 21, being located in cluster 5, were recognized as outside the general framework of the creative city.