Equitable distribution of services at the regional scale and achieving a balanced spatial structure in the region are among the most important goals of sustainable regional planning, especially in developing countries such as Iran. In this regard, one of the most important strategies and policies in regional spatial planning is the decentralization of development. The purpose of this study is to identify the most important urban areas of Fars province in order to determine the priorities of development and decentralization of the unipolar development of the province. To this end, the regional network modelling based on graph theory and the concepts of social network analysis are used to conduct the spatial analysis of Fars province. The data used in this study includes  the Fars province road network extracted from the OSM open source system, as well as the spatial information of the urban and rural areas of Fars province extracted from the website of the Statistics Center of Iran. Regarding research methods, Pandas Library and NetworkX Library were used in the Python programming platform to form the network graph and analyze the centrality indicators, while ARC GIS software was for final processing and visualization of data and information. According to thenetwork centrality indices and the location of the province cities, notwithstanding Shiraz as the main hub of development in the province, Zarghan, Sadra, Kavar, Lepui, Khane Zenian and Noorabad are the main development priorities. In addition, the Shiraz-Marvdasht and Shiraz-Khaneh Zenian roads were determined to be the most important transportation paths and communication corridors. The results and findings of this study showed that network-based modeling and the use of graph-based analytics (in particular, social network analysis techniques) can be useful and effective as new analytical methods in regional studies and planning.

Nowadays, the vulnerability of urban settlements is one of the urban security risk factors. Meanwhile, shelter is one of the most important components of increasing the safety factor in cities in the face of hazards. In the present study, which was conducted using a "descriptive-analytical" method, an attempt was made to find the most appropriate place for the construction of an urban shelter in District One of Ahvaz metropolis. Theoretical data of the research was collected via library research, and after extracting the indicators, the spatial analysis of each index was obtained using GIS modeling. The analysis shows that the best places to build an urban shelter according to specific fuzzy patterns are located in the proximity of the Museum of Contemporary Art, adjacent to the Laleha Cultural and Educational Center, along the Khuzestan Agricultural Jihad Organization, Pars Hospital and Shahid Rajaei Hospital, near Hazrat Khadijeh High School, Hajar Technical Schools, etc.

The increasing population growth along with human activities has led to the booming of waste production.  The selection of inappropriate landfill sites contributes to the increased potential of underground pollutions. The purpose of this study was to zone the underground water vulnerabilities of Karun County in Khuzestan Province to select the optimal landfill site, so that a site with the least vulnerability of aquifer would be selected for waste disposal. Two models were used to zone the aquifer pollution potential, namely GODS and SINTACS. After preparing the vulnerability maps of the two models in GIS software, the appropriateness levels of the sites for waste disposal were prioritized. The results of SINTACS model demonstrated the following vulnerability statistics: 455.22 hectares have no vulnerability potential, 780.84 hectares very low vulnerability, 3281.31 hectares low vulnerability, 12582.4 hectares low to medium vulnerability, 11169.9 hectares medium to high vulnerability, 9449.6 hecaters high vulnerability, 5844.15 hectares very high vulnerability, and 495.72 hectares totally at vulnerability risk. Moreover, in GODS model, nearly 215.576 hectares have negligible vulnerability, 560.544 hectares low vulnerability, 5169.08 hectares medium vulnerability, 37471.9 hectares high vulnerability, and 641.9 hectares very high vulnerability. In both models, the least vulnerable zones comprise a small part of the area (1.03 percent in SINTACS and 0.49 percent in GODS model). This level can be selected as the optimal landfill site (rank 1), while other zones are ranked lower due to their higher aquifer vulnerability levels.

One of the pillars of spatial planning is determining the role and function of regions based on their competitive advantages. By developing innovative infrastructure that supports production, regional competitiveness improves regional efficiency and forms a network of complementary and reciprocal relations between regions, which ultimately leads to the capital attraction, value creation, and integrated regional development. In this regard, the present study aims at identifying the creative regions of Iran and determining the competitive advantages of those regions. This study is explanatory applied in terms of purpose and descriptive-analytical in terms of methodology. Derived from the document analysis of secondary sources, quantitative data was used to analyze both creativity and competitiveness. The data used to identify creative regions included the number of scientific and research centers and companies, consulting engineers, the industries with high and medium technology, employees in the manufacturing sectors, and the university students of the provinces of Iran. Moreover, the number of employees in major activity groups was used to determine competitiveness. Factor analysis and cluster analysis were performed to identify creative regions, while correspondence analysis was performed to determine competitive advantages in SPSS software. The results show that the provinces of Tehran, East Azerbaijan, Isfahan, Khuzestan, Fars, Kerman, and Mazandaran have the knowledge infrastructure capacity required for creative regions. Isfahan’s share of construction is 11.1 percent, while Tehran’s share of information is 41.2 percent. The interpretation of angles smaller than 0.2 between correspondence analysis vectors reveals that Tehran and Isfahan provinces have competitive advantage in information and communication and manufacturing, respectively. It was also found that most regions of the Iran do not have a specialized role and the competitive advantages of the provinces are not supported by the knowledge infrastructure of the regions.

Relationships between urban network cities are shaped by demographic trends and the factors affecting it. This research, using two concepts of occupation distribution and urban network, seeks to study the effective factors in the occurrence and intensification of inequalities in the Isfahan city spatial network. In the same way, the changes and transformation of the Isfahan network (including 37 cities of Isfahan approved by City-Region Plan) are considered by employment indicators as well as distance between cities, using network mapping in social network analysis software (Gephi) in three periods: 1996, 2006, 2016. The research method is applied in terms of purpose and application. The data were gathered through library studies and review of documents. The data analysis method is also quantitative. For employment at any time, a separate network is mapped and analyzed. The results indicate that in Isfahan city network at the time of research, demographic changes in populated cities and low population centers do not directly correlate with the shift of employment in the urban network, while there is a direct relationship between cities with a moderate population and the flow of employment. In addition, the metropolis of Isfahan, with a significant percentage of facilities, resources, financial flows, political power, and population flows, does not have decent employment flows rank in urban network cities.

Researchers believe that population density is defined as the estimation of the amount of population and their activities. Put it differently, it is equivalent of spatial congestion. This concept is measured based on some environmental indexes. Also, it is closely related to the environment`s design style and culture and environmental indexes. Thus, the environment has a substantial influence on the perception of density which is assessed as spatial configuration. As a result, the environment has a great impact on density perception, which we consider as a spatial configuration. Configuration, in other words, is a set of relationships between spaces that exist in a particular situation in time and affect the perception of density by citizens and environmental quality. In this regard, the present study was conducted with the aim of using condensation tools in urban planning and trying to create a favorable environment for the residents of Shahid Beheshti residential town of Hamadan. The type of research is applied and its method is descriptive. The information is collected through observation and questionnaire adjusted with the Likert spectrum. The statistical population of the study in Beheshti town of Hamedan is 7652 people, and the sample size is 366 people using Cochran formula. Data analysis was also performed through Spatial Distance Index (SOI) calculations and one-way ANOVA and multiple regression (HMR) tests. Finally, it was found that the lower the spatial distance index (SOI), the more enclosed and compact space, the lower the environmental quality, and the higher the SOI, the higher the openness and extent, and ultimately the higher the environmental quality. As a result, the present study has presented a conceptual framework for planning and designing standard and appropriate spatial configuration of urban space with respect to the level of citizens' perception to improve the quality of the urban environment.

Physical expansion of cities, particularly those that have experienced unusual growth due to economic, social, and political transformations, has led to numerous problems. To this end, the purpose of this study was to investigate conditions of Birjand City regarding flooding and hazard zoning caused by this important natural event. The present study is applied regarding the objective and descriptive-analytic considering its methodology. The study was descriptive-analytic and performed through prediction of the scope of damages caused by floods and based on hazard zoning. Data gathered regarding land use, population density, features of existing watercourses, slope, residential and population density, CN coefficient, runoff, the age of buildings, open spaces, and other influencing components. Collected data were weighed after correction and conversion, and required maps were prepared after conducting paired comparisons and determination of eventual coefficients for each layer. AHP model and associated software, particularly Expert Choice, and ArcGIS, were used to determine final weights and coefficients.  According to the results, given that development of Birjand City has been done on the sub-basin of the existing watercourse, all the city is exposed to the risk of flooding. However, southern and southeastern zones with almost 20% of the city area are subject to high and very high risk; northwestern and southeastern with 50% of the area are subject to average risk; and other zones of the city with less than 30% of area are subject to low and very low risk. As a result, the operation of flood control and flood warning systems in areas with greater vulnerability should be considered, while illegal occupation of flooding basins and watercourses should be dealt with.

The qualitative study of the urbanization process indicates that inappropriate development has caused a great deal of damage to the urban landscape structure. The problem solving tool is planning the ecological networks as matter and energy pathways. Planning natural elements of the structure, including green and open spots and corridors, will guide the researcher toward achieving research goals such as the conservation and restoration of natural resources and the improvement of cybernetic forces to enhance performance sustainability, structural equilibrium, and habitat variability. The methodological model of research in the Karaj metropolis identified flexible elements to strengthen ecological processes. Then, adopting the ecological-sociological approach and forming the urban habitat network, it was applied for sustainability. GIS software was used to map and digitize the data, RS to capture satellite images, and FRAGSTATE 4.2 to analyze the metrics changes in the years 2008 and 2018. The results of Bayer spot changes were -7.98% for CA, +5.79% for NP, and -1.5% for Cohesion, while residential spot changes were -24.15% for CA, +26.16% for NP, -3.96% for Cohesion, and green-space spot changes were -38.8%  for CA, +275.5% for NP increase, and -34.0% for Cohesion. These indicated increased discontinuity, decreased natural bedding connectivity, and decreased ecological performance along with its adverse effect on social structure. Thus, using a nature-based planning, we can witness the network dynamics of natural/man-made communication/isolation networks over time, and by establishing a holistic, bio-ethical culture, we can overcome social vacuum. This way, Karaj can move in the excellent sustainable development path.

Future studies in Territorial planning focus on finding key factors, drivers and uncertainties in the development of regions in the planning space. This is in the way that the planner can map and manage a desirable future by having them as a control lever. The purpose of this study is to identify the effective factors on the planning of Khorasan-e- Razavi province, to identify the key variables of the province's development and finally to develop effective scenarios for the province's planning. The research process is practical in terms of purpose, and the research method is descriptive-analytic. The nature of the data is qualitative. The data are collected through survey and from documents and records. Data analysis is based on futures research techniques including environmental scanning, structural analysis, and cross-impact analysis. The results of the research show that among the developed scenarios, province planning will face 22 strong adaptive scenarios, 2740 weak adaptive scenarios, and 1837 inconsistent scenarios, in the future. Of the 22 possible scenarios, eight scenarios have a favorable status, two scenarios have interstitial status, and 12 scenarios are in an unfavorable situation. Between the favorable scenarios, Scenario 1 is the best and the most likely scenario ahead of the province and all of its possible probabilities are quite desirable.

The present study uses a structural analysis method to seek out the most likely scenarios for the development of Alborz province on the horizon of 2032. The required data and information for the research have been collected through a territorial development study (Survey Questionnaire) as well as expert interviews within the framework of the Delphi model. The statistical samples of the study were 30 employees of relevant institutions and urban-regional researchers. For data analysis, MICMAC software has been used to analyze the interactions of variables, and Morphol software has been used to compile scenarios. Finally, the results showed that the issue of water resources and drought, and the issue of the destruction of gardens of the province are due to the irregularity of construction. Similarly, the issue of industrial production, environmental pollution increase, and the burnout of factories in the horizon of 2032, with three replications of the catastrophe scenario in the developed scenarios are three serious and major threats for the development of Alborz province up to the horizon of 2032. Nonetheless, the capability of being at the neighborhood of Tehran province and the use of demographic, economic, and other capacities of Tehran province in all three scenarios were identified as the desirable scenarios. Also, in each of the three scenarios, the capabilities of the "big and strategic industries" and "province tourism" were identified as the most intermediate scenarios, which indicates the importance of these three capabilities in the development of the province in the horizon of 2032.