As one of the most important and influential urban planning approaches, comprehensive plans can be considered from the different and relevant dimensions and aspects such as the planning system, the content of plans, preparation-approval process, and execution procedure. Hence, this research focuses on the reasons for the inefficiency of comprehensive plans, especially concerning the nature and the substance of this urban planning approach. To this end, in addition to reviewing relevant theories and views, objective instances of the mentioned reasons have been pursued. Therefore, Nowshahr’s Comprehensive Plan was assayed for the ex-post evaluation of plan implementation to assess its efficiency and feasibility in certain aspects, including social and physical dimensions. Following a linear and one-way procedure, inflexibility and lack of realism, single vision and mostly physical solutions, providing too many details based on static and solid frameworks, and the impossibility of accurate predictions are the substantial critical reasons for the inefficiency of urban planning based on comprehensive plans approach. These factors are the challenges that Nowshahr’s Comprehensive Plan also suffers from them identically. The unrealistic approach in determining the city limit, an incorrect policy of using open spaces and increasing density in contradiction with the ecological, touristic, and port nature of the city, failure to realize most of the proposed land uses, and consequently, a severe shortage of service spaces, are among the most apparent objective instances regarding the inefficiency of Nowshahr’s Comprehensive Plan according to the mentioned substantial reasons. Considering the reasons for inefficiency and analysis of the objective instances are an essential strategy that can differentiate the substance of urban plans, especially ones prepared based on the evolution in urban planning and substitution of new approaches, from the old and traditional cases and make them successful more than before.

The usefulness of many forms of spatial studies relies on the nature of the topics under study. Geographers and urban planners have a long-lasting tradition of studying the data derived from spatial issues at regional and urban levels. Nonetheless, no standard has been offered so far on the provision of statistical results in the form of spatial units. Therefore, the results of the previous studies in this field have been influenced by the scale and zoning effects. The purpose of this study was to analyze the effect of scale and zoning on the spatial unit results. To this end, the rural areas located in the southern parts of West Azerbaijan province were selected. This study adopted the critical positivism approach and used quantitative data collection and analysis. Moreover, this research project was descriptive-analytical in terms of method and applied in terms of purpose.  The statistical population of the study included 1143 villages with an overall population of 418948 in 9 southern cities of West Azerbaijan province. The study was done using 8 indices of rural services, which were composed of 77 indicators in total. Then, the effect of scale and zoning on the results was analyzed. The results showed that the value of Moran’s statistic related to the overall index of rural service distribution level has been 0.39 at city, 0.06 at rural district level, and 0.05 at village level. Accordingly, the distribution of rural services has been clustered at the city level, but has been random at rural district and village levels. Moreover, the results of the rural services overall index was 15.09 at city level, 10.88 at rural district level, and 2.31 at village level. This shows that by changing the spatial unit scale, the results of the spatial distribution of services has totally changed. This finding is true for zoning, too; with a change in the zoning pattern, the results of spatial units have changed. These findings show that the nature of rural service distribution alters with the change in the scale and zoning models.

The growing role of science and technology in economic development makes the necessity of policymaking and planning for the science and technology system more important. In line with centralized, top-down planning approaches to science and technology policymaking, the spatial planning approach is a bottom-up effort to identify regional capacities and potentials in order to provide an endogenous and balanced model for the development of science and technology. Although the spatial planning approach in its general form has a multi-decade history in the planning literature, the optimization of this approach in the science and technology governance needs methodological innovations. The purpose of this study was to provide a science and technology spatial planning methodology using institutional mapping. To this end, we used two cross-sections. On the one hand, we took into account innovation within a regional system, and on the other hand, we adopted the institutional mapping to attain a method for its analysis and estimation. In this system, first the institutions of the science and technology institution including the science institution, the technology institution, and the market institution were identified, and then the interconnection capabilities of these three institutions and their subsidiaries were evaluated. This was done through the extraction of the similarity graph. The similarity graph, which was obtained through the quantification of binary relationships of the science and technology system sub-institutions, expressed the diversity and intensity of the connections of each institute with other institutes. The more diverse and intense the relationships among the institutions were in general, the more optimal the science and technology system would be. Ultimately, observing this graph, the policymaker can design a scenario for moving toward regional balance for each of these institutions so that in the predetermined chronological horizons, the institutional proximity is increased and the agreement and accord of the institutions are enhanced.

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.

Demographic changes in recent decades have led to rapid changes in Iran's urban system and its hierarchy, with one of its consequences being the increase or decrease in the ranking of cities in this system. The present study examines the position of Tabriz metropolis in the urban system of Iran from 1335 to 1395, and by forecasting the population of this metropolis by 2031, it tries to determine the future position of this city in the urban system of Iran. This study is practical in terms of purpose and descriptive-analytical in terms of nature and research method. The data in the present study were obtained through document analysis and field study (questionnaire and interview). Interviews were used to understand the causes of emigration and a questionnaire was used to understand the causes of fertility decline in Tabriz metropolis. The sample sizes for both instruments were determined based on the saturation principle. The exponential model, Spectrum software, and rank mobility index were used to predict the demographic factors, population forecast, and the study of metropolitan rank changes in the urban system, respectively. The obtained results showed that the decrease in fertility rate and migration are the main reasons for the sharp decline in population growth in the metropolis of Tabriz, with the economic reasons being the main reason. In addition, assuming the fertility rates of 1.5, 1.8, and 2.1 in Tabriz, we will see 1.64, 1.69, and 1.74 million increases in the population of the city, respectively, as well as a decrease in the population of minors and a doubling of elderly population over 65 by the year 2031. The results of population forecast show that the position of Tabriz metropolis will be stabilized as the sixth largest city of Iran's urban system by 2031, but its distance from the seventh metropolis (Qom) will be less, which requires special attention and proper management to prevent its rank from falling again.

The goals of the present study were to analyze changes in land cover and to estimate a future scenario for 2028 using an artificial neural network in the Karaj Metropolis. To this end, the effects of land use changes in response to urban expansion on landscape patterns were investigated in three baseline, current, and future scenarios using landscape metrics and gradient analysis. The results showed that during a 22-year period, the agricultural and Garden lands have been severely damaged due to urban expansion. The results of the evaluation of changes in landscape also indicate that urban expansion in in development in the north-south transect to the margins (especially northward) and the east-west transect with a gentle slope to the west of the region. It is also anticipated that in the future scenario, if the current trend continues, the northern margin of Karaj metropolis will be changed from natural environment to a completely human-made one. Therefore, considering the results of the Pd and Ed metrics in both transects over the three examined years, it can be said that the area has expanded to the margin and there has not been much changes in the landscape of downtown. In addition, the decrease in the Pd and NP in all three scenarios indicates the consistency of urban landscape. In general, population growth and urban development have made the landscape pattern in Karaj metropolis to be a more regular and less varied one. The results indicate that spatial heterogeneity has altered the landscape patterns. Therefore, the growth of construction land in some areas should be restricted, and balanced development should be adopted to prevent the fragmentation of the landscape.

The habitat development and establishment are directly related to the natural bedrock and geomorphologic complications. Due to topographical and geological conditions, the area under study has certain limitations in locating and developing human settlements. In order to reduce the hazards in the southeast of Khorasan Razavi province and modify plans for the development and establishment of human settlements, the feasibility of the area under study for residential development was investigated. After conducting library and field studies and selecting appropriate criteria, the fuzzy logic model was applied using the GIS software to identify areas for habitat development and establishment. In this study, to identify the potential areas for habitat development and establishment based on geomorphologic landforms, eleven parameters – including slope, slope direction, elevation, soil, land use, elevation, distance from fault, distance from river, distance from road, distance from settlement, and geomorphology – were used as independent variables in identifying geomorphological abilities and bottlenecks in the area. The results of zoning based on the fuzzy model showed that about 61% of the study area is located in very inappropriate and inappropriate classes, which means that geomorphological conditions in this part of the study area are unfavorable for the development and establishment of human settlements. About 14.58% of the study area has moderate conditions and about 24% of the study area shows favorable geomorphological conditions for construction activities and creation of new habitat areas. Alluvial fan units and alluvial plains are the most suitable sites for habitat development and establishment.

Investigating the changes in groundwater aquifers in planning the sustainable management of water resources in each region is of particular importance. Therefore, reducing the level of groundwater aquifer changes requires proper management and planning to exploit water resources. In this study, the level of groundwater aquifer changes in Urmia Lake basin was examined for the period from 2002 to 2017 using GRACE satellite data (JPL, GFZ, CSR triple bands, CRI Filtered model, time and space filter, and Lew-Thiknth uncertainty dry product) in the Google Earth Engine. The results of the triple bands showed that the JPL band estimated the average level of groundwater aquifer changes on May 1, 2004 as 14.947 cm, while the GFZ band on estimated this as -30.558 cm on September 1, 2015 and the CSR band estimated this amount as -28.206 cm. Therefore, CRI Filtered model can very accurately identify the boundary between land and water zones. The results showed that this model estimated the maximum thickness of liquid water in the groundwater aquifer at March 31, 2002 as about 11.599 cm and its uncertainty at about 9.767 cm. It can be said that the least amount of thickness of liquid water is estimated on 13 August 2015 as 12.309 cm with an uncertainty level of 10.759 cm. According to the results, the level of groundwater change in aquifers in terms of liquid water thickness parameter (Lew-Thiknth) in the northern parts of the Urmia Lake basin and in terms of uncertainty in the northeastern part of the Urmia Lake basin is experiencing a strong decline in the aquifer water levels.

The land-use changes and urban development are among the fundamental topics of spatial planning. Monitoring changes in previous years and predicting these changes in the coming years have a significant role in planning and organizing urban spaces. The purpose of this study was to investigate land-use change and urban development in Ahvaz with a landscaping approach based on balanced urban development. .Images of TM (1989), ETM+ (2002), and OLI (2019) of the Landsat satellite are the basis for analyzing this trend. LCM model was used to identify the past changes, while CA-Markov chain model was applied to predict the future changes. These images were classified using a support vector machine algorithm of the object-oriented method, and the land-use maps were prepared using three sensors with four classes of vegetation, barren areas, constructed areas, and water zones. The accuracy of maps was improved separately using NDVI and SAVI indexes in the classification of the images. The efficiency of the indexes was measure by kappa coefficients and the overall accuracy of land-use maps, and then changes were investigated using maps related to the superior index. The results showed that maps related to the SAVI index were more accurate and accordingly, they were used in assessing land-use changes. The LCM model showed that in the periods 1989-2002 and 2002-2019, 2602.92 hectares and 31174.77 hectares were added to the built areas, respectively. In both periods, the most changes were about converting barren lands to built-up areas and the least changes were related to the transformation of the built-up areas to water areas. The results of the CA-Markov model until 2029 showed the continuity of the increasing trend of built-up areas, such that in ten years, 2238.82 hectares will be added to the built-up areas, and it is anticipated that the area will reach approximately 12345.63 hectares by 2029.

Nowadays, problems related to the environment, society, and identity of cities derives from their expansion and the increasing penetration of natural space by human-made space. Green spaces are deemed not only as a green patch at the disposal of the masses, but also as a factor for the improvement of citizens’ life. On the other hand, the destruction and removal of homogeneity and continuity of natural infrastructures and green networks threatens the biological diversity and brings about limitations for development. Therefore, continuity of the urban green spaces provides habitats and corridors that help the preservation of biological diversity. To develop green space networks, increase continuity, and revive biological diversity, urban planners have used landscape ecology principles. Adopting a descriptive-analytical method and review of the scientific resources, this study investigated landscape connections and their importance for the preservation of biological diversity. Maragheh city green space network was modeled in GIS according to Graph theory. Then, the ecologic continuity analysis was carried out through Conefor software along with Integral Continuity (IIC) measure and point picking algorithm, and the urban green patches were valuated. At the end, the potential corridors in Maragheh city were identified using the least cost method, which then developed and improved the green space networks. The results of this study reveal that the majority of the built corridors are located around the city like a green belt. The main reason for this is the positioning of the main habitats in the city outskirts. Moreover, the green space network developed based on Graph theory made the complex landscape simpler and more organized, and helped with the identification of green space and the guidance of urban planning for the protection of biological diversity.