The integrated endogenous regional model as favorable locative-spatial consequences and brings about balanced regional development in various dimensions. Due to the applied nature of this study, its objective as to examine the locative-spatial consequences derived from the integrated endogenous regional development model. Then, the strategic question revolved around the effects and consequences of the aforementioned model. To answer this question, the comparative strategy based on quantitative methodology was used. The statistical population of the study was comprised of the scientific and administrative elites and experts in Lorestan Province of Iran (Selseleh city), from among whom 30 participants were selected systematically and based on sampling logic. Data analysis was done through inferential statistics based on the measurement model fitness indicators and structural modeling in SmartPLS software. The results showed that measurement model indicators of “endogenous integrated model” and “spatial evolution” confirmed the measurement model of the study. In the structural model of the study, the accuracy of the relationship between structural variables / latent variables of the study based on T value was assessed and confirmed. Moreover, based on R2 confident of determination and F2 effect size measure, the strength and effect of the relationship between “endogenous integrated model” and “spatial evolution” was confirmed. In addition, the general goodness of fit (GOF) showed that the model had a strong fitness and the data confirm the experimental model of the study.

With a growth rate higher than global GDP, exports, etc., Marine business (especially container transport) has had great effects on the spatial structure of different regions and areas. Ports have an important role in this regard, because they are the main gates of goods import and export in a country. This study explores the structure and interconnection of Iran’s northern ports (on Caspian  Sea) with the ports of other countries neighboring Caspian  Sea due to the great importance of marine transportation and its effectiveness on Iran’s spatial structure interconnection. In order to examine the evolution of the spatial interconnection network structure of Iran’s northern ports at local and international level between the years 1989 to 2019, the model used in this study analyzed the passenger and goods transportation among Caspian  Sea ports of Iran and those of other countries around Caspian  Sea using UCINET software. The results showed that the interconnection of goods and passenger transportation in Iran’s northern provinces (in general) and Iran’s ports on Caspian  Sea (in particular) is not in good conditions. In fact, the connection between Iran and other countries neighboring Caspian  Sea is not so high except for scarce, insignificant cases (i.e., connection with Russia through Amirabad port), and the spatial interconnection of other borders of Iran, especially the southern coastline, is much higher than that of Caspian  Sea coastline.

As the main source of energy, the sun is the origin of life and the root of every other known energy. The global radiation of sun is one of the fundamental structures of any climatic range. Thus, knowing the qualities and predicting these fundamental structures have a great effect on energy-based plannings. The use of satellite images and remote sensing models have been used as suitable and cheap means to estimate solar radiation. In this study, the 2020 year images of Landsat 8 satellite, OLI sensor, TIRS sensor, and SEBAL algorithm were used.   ENVI software was used to make geometric, atmospheric, and radiometric modifications of the satellite images and execute SEBAL model calculations, and ArcGIS was used to create database, conduct locative analyses, carry out cartographic operations, and implement the model. The obtained results showed that the average of highest short-wave incoming radiation has been 862 watts per square meter on August 9, 2020, and the lowest value has been 368 watts per square meter on October 28, 2020. Nonetheless, the highest absolute radiation value has been 901 kilometers on June 6, 2020, and the lowest value has been 19 kilometers on September 10, 2020.  The difference in the absolute radiation values received by earth in the area under study is due to the difference in the sun’s radiation angle and the number of sunny hours in different months of the year. Finally, it can be concluded that the solar radiation in the region in the year under study has the potential to execute solar photovoltaic plans.

Recognizing the function and pattern of urban network activity in regional areas to identify potentials and assets correctly leads to effectively guiding spatial planning for achieving creative competitiveness and spatial balance at the regional level. The current research attempts to analyze the spatial pattern of activity accumulation and distribution in the urban network of Khuzestan province using a practical and developmental approach, along with a descriptive-analytical method. Activity and employment statistics of 78 urban points in the province, based on data from the Iranian Statistics Center and the regional survey plan of Khuzestan province, have been cited.The results from spatial autocorrelation analysis and the z-score function, as well as the Repilli k function, show that activities related to the agricultural sector have a cluster distribution pattern in the urban network of the province. On the other hand, the activities of the industry and service sectors in the province follow a scattered pattern. Spatial analysis of the activities in the urban network of the province indicates that due to the proximity of cities to each other and the close employment statistics in each of the agricultural, industrial, and service sectors, the northern parts of the province and the southern part (specifically the ports of Imam and Bandar Mahshahr) show the most areas related to hot spots from an activity point of view. Meanwhile, the service function in the urban network of the province, despite having significant employees, exhibits the most cold spots and dispersion, especially in the central areas of the province.

Locating and architectural design, as a suitable platform to provide the ground for achieving the goals and purposes of passive defense, is of great importance and causes the success of decision-making at different strategic levels. Office spaces are one of the uses that are considered by planners and designers for urban services. The current research is among applied research and descriptive-analytical research methods and it aims to locate and design office sites in Isfahan City. Documentary methods and questionnaires were also used to collect information. For this purpose, 18 indicators for the location of urban administrative uses in the form of four general criteria (demographic, functional, physical, and structural), selected and using the network analysis process model (ANP), the importance coefficient of criteria and sub-criteria are determined. The coefficients obtained in the environment of the geographic information system (GIS) were influenced by the information layers. By overlapping them, areas prone to the construction of office uses have been identified. Then, each of the eighteen uses was weighted using the Delphi method and experts' questionnaire. Finally, using the capabilities of the geographic information system (Euclidean Distance and Weighted Overlay), the spatial distribution of each service use was analyzed. The results of the research show that 3% of the entire city of Isfahan has very low desirability, 15.9% is low desirability, 43.4% is moderate desirability, 28.74% is high desirability and 8.96% is very high desirability. From the south to the north of the city, the level of desirability decreases.

Considering the fact that the supply and demand of ecosystem services may be geographically different, therefore, the management of this spatial heterogeneity requires the evaluation and zoning of ecosystem services in the form of spatial maps. Accordingly, in the present study, the spatial distribution of ecosystem services in the mangrove forests of Khamir and Qeshm was evaluated and zoned. According to the results in this area, cultural services have the most points among the available services due to the high entertainment value. Therefore, among the examined criteria, leisure and nature tourism have more demand for spending leisure time and tourism due to its pristine landscapes, aesthetic values, education, recreation, etc. Likewise, among provisioning ‎ecosystem services, traditional fishing (Moshta) is scattered in most areas of this region within the main tributaries and estuaries and has the largest supply in the area.  This ecosystem service is important among the residents of the area, the reasons for which are the livelihood and economic dependence of the local people on this service. Finally, the prioritization of ecosystem services distribution in the studied areas demonstrated that the most services offered and with the highest priority in the area are related to cultural services. In this service, the highest priority is also given to the standard of recreation and nature tourism on the high class, and other services, including aesthetics, sense of place, heritage value, spiritual and religious value, education, and inspiration, are placed in the next priorities. Accordingly, zones that have a high density of mangrove habitats also have a high supply of cultural services. Therefore, examining the spatial distribution of ecosystem services through the evaluation and zoning of these valuable resources can help to correct the plan and protection of natural ecosystems to meet human needs.

The location of sanitary landfills is one of the most important environmental issues in cities. If the design of landfills is not appropriate, it will threaten human health. The aim of the current research is to locate waste burial using geographic information system in the city of Bam, this research is applied in terms of its purpose and its method is descriptive-analytical. Based on this, the effective criteria in the location of Bam's landfill were identified, prepared and standardized. Then by digitizing and weighting 8 layers based on the existing standards, including: topography, geology, slope, fault, waterways, communication lines and distance from the city, and importing the mentioned layers into the software environment and forming special burial databases. Waste and implementation of various analytical multi-criteria decision-making models on the existing layers. According to the layers used and the final map obtained, the studied area was classified in the form of four classes: very suitable, suitable, unsuitable and very unsuitable, and it was determined that the most optimal waste burial space is in the southeast of the region, and the least optimal space is in the northwest of the city. There is. The issue of waste management, or beyond that, material cycle management, is one of the main and very important axes of sustainable development today. Therefore, it is necessary to put the necessary infrastructures for the best possible management of urban waste, which has not yet been done and requires proper management and implementation of economic plans.

Since comprehensiveness and integration of development can promise efficient use of the region's potential and improvement of living conditions; Therefore, the current research has aimed to analyze the pattern of integrated regional development at the level of Gilan province. In this context, based on contextual theory, the type of response to this objective was qualitative and based on documentary studies and in-depth interviews with 20 provincial experts including (policy-making, scientific and academic experts, private and government sector). Then, by using MAXQDA software as an effective tool in qualitative data analysis, open and central codes were extracted, and finally, selective coding was done using the potentials of the region and the opinion of elites. The findings and results from the comparison of the components of the desired model show that the key categories in the documentation-field dimension in the sections of causal conditions, focal core, strategies, and consequences, respectively, include cases of lack of synergy and integration of process and product, lack of perspective. Wide and extrapolated from the long-term development of the region, the sector-oriented model with a minimal approach to the place and space of development, the transformation of the spatial organization of the regional system. Also, in the ideological-theoretical dimension, the most important categories in the four sections, respectively, include things such as emphasis on the structure and pattern of decision-making (planning, policy-making, and management), political-territorial-organizational and departmental integration, the necessity of changing social and institutional management and Finally, regional organizations have been recognized as the main actors in coordination for the implementation, follow-up, and review of the sustainable development process. In addition, the relationship between abstract and operational dimensions has shown coordination and alignment in the causal and phenomenon parts and a lack of direct alignment in the strategy and consequence parts. For this purpose, suggestions such as the need to separate propositions and components by sector, territory (spatial areas), the need to rewrite and explain previously repeated codes, review the determination of priorities, real attention to attention to the integration between sectors, territories, Institutions and... have been considered.

The purpose of this research is to select temporary accommodation centers after the earthquake crisis to meet the needs of the victims. Therefore, this research has tried to identify temporary accommodation sites in District 22 of Tehran with the help of effective criteria. The required data has been obtained from the Tehran Disaster Mitigation and Management Organization and the results of the general population and housing census of 2017. The novelty of this research is to present a new combination approach to determine the effective criteria for locating temporary shelter sites. In this regard, the combination of geographically weighted regression (Gaussian and tri-cube kernels) with a binary particle swarm optimization algorithm was used. The recommended combination method is suitable for spatial regression problems because it is compatible with two unique properties of spatial data, i.e. spatial autocorrelation and spatial non-stationarity. The best value of the fitness function (1-R2) for Gaussian and tri-cube kernels was obtained at 0.04616 and 0.0097, respectively, which indicates the high compatibility of the tri-cube kernel with effective criteria. According to the obtained maps, Chitgar Park and Azadi Sports Complex are some of the widest and most suitable areas for the construction of temporary shelter sites after the earthquake crisis in the case study. By identifying temporary shelters, relevant organizations can provide the appropriate infrastructure for these selected centers so that there is no need to spend time to provide these services in the event of an earthquake.

In this study, the spatial-temporal distribution analysis of housing prices in District 5 of Tehran Municipality and the factors effective on it were investigated. To this end, the data related to housing buying and selling in this district in the years 2018, 2019, and 2020 were used to model the housing price. The results were obtained using GTWR method, which gave in a better measure compared to GWR and OLS methods. The adjusted coefficient of determination in OLS, GWR, and GTWR algorithms were found to be 0.759, 0.798, and 0.835, respectively. GTWR is a method that can model the spatial-temporal heterogeneities that exist in the housing price data. Based on the obtained results, the currency exchange rate (dollar to rial) has the highest effect on modeling housing prices. After that, the physical characteristics of housing – such as its footage and age – are important in modeling housing prices. Finally, the access rate to urban services – such as distance to hospitals, sports centers, educational centers, religious sites, green space, highways, and urban public transportation stations – can improve the modeling of housing prices. The findings of this study show that using dollar-to-rial exchange rate as the independent variable, we can model the housing price with a proper precision.