Understanding how to distribute economic, social, cultural and other opportunities as first step in spatial development planning can improve service delivery and increase equilibrium between regions. This research aimed at study and analysis of 31 provinces of Iran based on social indicatros enjoyment. Therefore, the present study is applied in terms of purpose and descriptive-analytical in terms of nature and method of research. Required data collected through the statistical yearbook of 1395 (2016) in the form of 52 important social indicators including social, cultural, welfare, educational and health components. Shannon entropy, coefficient of variation (C.V), WASPAS used to Wheightining of criterias, analysis of indicators dispersion and determining the level of development of provinces respectively in the context of MATLAB. The result shows that there is a lack of social development balance between Iran provinces. Tehran, Isfahan, Khorasan Razavi and Fars are four provinces that placed at higher level of social development and Alborz, Zanjan, Chaharmahal Bakhtiari, Semnan, South Khorasan, North Khorasan, Ilam and Kohgiluyeh and Boyer Ahmad are placed at the most deprived areas of the country in terms of social indicators. Overall, the results show that social development status in Iran's provinces is not synonymous with social and spatial justice and requires proper and effective attention and management.

Evaluation of land capability is a way of knowledge of nature and preventing its destruction. The Logic scoring of preference method is one of the new approaches in land evaluation. This method consists of three main components: the attributes tree, the preliminary criteria and the aggregation structure. Criteria and sub-criteria of the conservation model, criteria weightings and standardization functions were determined by the resources reviewing, environmental attributes of the area and consulting with local experts. Then, the decision tree is formed, after that, the sub-criteria, criteria and attributes were weighted. Their replacement capability was determined. Replaceabilityorsimultaneitymeans identifying importance of criteria and sub-criteria in decision making. So, more or less effect of criteria was determined on the final decision by the ranges of positive and negative numbers. Aggregation of criteria and sub-criteria were done by Weighted Average Power Method. Conservation maps were prepared with two scenarios without_with the replaceability criteria. Scenario result of without replaceability shows the region's conservation value better than the replaceability scenario. The research results showed that rivers and aquatic ecosystems, scarce native plants and Mountains with high slope and shallow soil are sensitive to degradation. The proposed GIS-based LSP method is an enhanced MCE approach that represents an excellent tool for discussion and deliberation among stakeholders, decision makers, land-use planners and other experts.

Regrading population growth and economic development of human societies, the disposal of municipal waste has become an environmental concern all around the world. Landfilling is a common way for the disposal of municipal wastes. Improper landfill, however, may cause a series of inverse impacts. Siting of landfills is only licensed under strict environmental considerations. This study is carried out to environmentally evaluate the active municipal landfills in Mazandaran province according to the national regulations of the Iranian Department of Environment and Waste Management organization. The Geospatial Information Systems (GIS) and Hierarchical analysis processes (AHP) have been used to spatial analysis and to weight effective criteria in this study. Restricted areas were scored beside permitted areas to classify and rate the active landfills in the state. Totally, 13 sites are used for landfilling in this province. By developing the spatial competency map, these sites are evaluated environmentally. The results show that generally the active landfills of the Mazandaran cities have very low suitability while most of them non-standard and placed in the buffers of restricted areas. As a result of this study, the municipal landfill of Fereydoonkenar found to be the worst site between these 13 landfills in the Mazandaran province.

Prioritizing sub-basins in terms of flooding potential has an important impact on catchment management. The purpose of prioritizing flood basins below basins is to provide a model to reduce flood hazards and evaluate the role of sub basins in peak discharge hydrograph of outflow from basin. In this study, flood potentials of sub-basins were determined based on 12 morphometric parameters and prioritization of Gadar sub-basins based on combined morphometric analysis method and statistical correlation. Initially, values ​​of 12 morphometric parameters and index (Cv) were calculated and sub-basins were zoned for flood potential. Then, the relationship between the parameters and the effect weight of each were analyzed using Kendall's blend correlation and weighted sum analysis (WSA). Finally, Sub-Basin Prioritization Index (SWPI) was calculated based on WLS method for each sub-basin. In order to validate the results, past destructive flood location data in the Gadar catchment were used. The results showed that in the flood potential method based on 12 morphometric parameters calculated under Sheikhan tea and Sufian tea basins with high flood potential, sub-spring source basin with medium potential and Godard tea basins and Nalivan creek basins have They have little potential for flooding. In fact, 33.83% of Gadar basin area has high risk potential, 14.28% has moderate risk potential and 51.88% has low risk potential. The results of morphometric parameters and statistical correlation showed that sub-basins of Sheikh tea and Sufian tea with 24.1 and 21.10 priority sub-basins were identified respectively. Comparison of the results of the two methods with the morphometric and geomorphologic conditions of the sub-basins shows that the results obtained by relying on 12 morphometric parameters are more in line with the geomorphic conditions of the basin.

The emergence of knowledge-based city-regions as the paradigm of the knowledge-based economy is one of the effective paradigms for the sustainable development of future cities. These regions aim to synthesis the functional, physical, and institutional components of knowledge clusters with urban activities to maximize beneficiary of the unique characteristics of each region. In regional development, the prerequisite for achieving goals in these regions is spatial-physical planning and how they spatially organized their activities and functions in the territorial area. The main question of this study is "to achieve sustainable development, what are the spatial-physical considerations in Iran special regions in general and Yazd in particular?" It identifies the most important actions (physical spatial, transport, housing and environment) of science and technology regions plans on global scale by the method of secondary analysis and based on the content analysis. comparison the results in Yazd Special region with others in Iran indicates the high emphasis on economic aspects, relative attention to environmental issues, and minimal attention to quality of spatial organization and the relationship between main functional focuses and the cities/regions, transport and housing. Considering the unique characteristics of each region, reviewing their function and defining their legal position in the hierarchy of planning system in Iran, explaining the goals and priorities of development in a comprehensive plan to stabilize these regions in the urban sustainable development is indispensable.

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.

One of the principles of sustainable urban development is equal access of all citizens to the required services. Basically this matter comes true when different urban lands and resources, equally allocate to the spatial and social units of the city.Sincecommercial and service land uses are used by city dwellers daily, their locating and spatial distribution in cities is very important. Proper distribution of chain stores plays a significant role in reducing transpotation costs, quick supply of goods and services, suitable access to parking and other urban supplementary services. A chain store consists of several co-owned and centralized retail stores. The purpose of this study is improvement on spatial distribution of chain stores in Tabriz. To this end, first, the indicators of chain stores locating identified through available resources and documents and then through quantitative and spatial analysis methods using GIS capabilities, distribution of chain stores in urban areas of Tabriz was studied. Six criteria including population, type of communication, centrality, compatible uses, local equilibrium and radius of access have been used for a comprehensive analysis. After preparing the layers related to the above parameters using analytical tools in Arc Map software, they were integrated and the final layer was extracted. The results show that the distribution pattern of chain stores in Tabriz is random and it doesn't have a specific pattern. Also, the location criteria for the current stores have not been met in a desirable manner.