Inevitably, inconsideration of the population evacuation of villages can have irreparable consequences for the human settlements. Analysis and identification of the qualities of this issue can greatly help planners and decisionmakers in the spatial planning domain to prevent full evacuation of population from rural settlements. The study at hand was an applied research project done using descriptive-analytical approach. The statistical population comprised of villages with less than 100 residents in Khorasan Razavi province from 1986 to 2016. Moran’s local spatial analysis was used to investigate the spatial dimensions, and arithmetic mean and skewed distribution were used to examine the direction and range of distribution. The results showed that in the 1986, 1996, 2006, and 2016 censuses, 92.2, 90.1, 94.8, and 79.9 percent of the villages evacuated in the previous decade have had lower than 100 residents. The results of Moran’s spatial autocorrelation analysis demonstrated that the distribution pattern of villages on the threshold of evacuation during these three decades is cluster-like. Moreover, the results of arithmetic mean and skewed distribution indicated that 68 percent of the villages that are on the threshold of population evacuation are within the oval domain, and except for the 1986-1996 period – when the distribution direction of villages on the threshold of evacuation has been northwest-southeast, the direct has been northeast-southwest from 1996 to 2016.

Water provision service is one of the most valuable ecosystem services that is important as a key service for the healthfulness and management of water resources. In this study, using the Water Yield model of InVEST software, the water supply and demand in Ilam watershed was modeled. The data related to average annual precipitation, annual evaporation and transpiration, root limiting depth, water available for plants,  land use map, water consumption and estimation of water provision quantity, basin boundary, and subbasins of the watershed were the inputs of this model. The results of model application showed that in Ilam watershed, 45 million cubic meters of water provided annually, with the highest and lowest water provision volumes being in Arghavan (7 million cubic meters) and Chalimar (802 thousand cubic meters) subbasins, respectively. According to results, there are great differences in the water supply and demand in the subbasins of this watershed. Therefore, planner and policymakers should pay attention to this important issue in the layout of land uses and foresee sustainable use of rich forests in the high yield subbasins such as Arghavan subbasin. The results provided in this study, along with showing the importance of modeling surface water demand and its used in macro-policies of water allocation, can function as a guideline and help the managers and planners of Ilam city to adopt reasonable decisions in managing ecosystem and correctly using land in this area.

Due to the vast changes it brings about in the land use and land cover, the rapid expansion of cities has had many negative effects on the environmental quality at global level. Examples include air quality, increased temperature, changes in perspective, and the alteration of agricultural lands into barren lands that leads to the loss of biodiversity. Since land use changes happen at extensively, remote sensing technology is a necessary, efficient, and valuable means to monitor changes. In this study, the effect of land use changes on the temporal-spatial patterns of land surface temperature in the urban lands of Ilam city in a 30-year period (1990-2020) was examined using Landsat satellite images and simulation of changes using fuzzy ARTMAP neural network model. Landsat satellite sensors (TM, OLI, ETM) were used to investigate the longitudinal and spatial changes (LST) in Ilam city.  To provide the land use map, the pixel-based classification for all periods (1990-1995-2000-2005-2010-2015-2020) was applied using ENVI and Ecognitio software packs and then estimations were made using NDVI and LST models. The results showed that Ilam city ecosystem has moderate levels of NDVI. The average temperature of residential land use level in June is 35.8 degrees centigrade, and the temperatures of three land uses of horticulture, agriculture, and other uses (uncovered lands) were 32.22, 37.25, and 38.46, respectively, with the main lands with the minimum temperature being green highlands. In city, existence of high rise buildings and building shading, use of materials with less heat absorption such as Isogam, urban green space and furniture, and air pollution lead to lesser absorption of energy. On the other hand, the spatial distribution of NDVI was aligned with LSP values. The results regarding land use areas using fuzzy-neural network show that residential land uses has risen from 19.18 percent in 1990 to 39.35 percent in 2020, which shows the city expansion and development. On the other hand, the horticultural land use has declined from 8.64 in 1990 to 3.49 in 2020, which can be attributed to the development of urban space.

Spatial justice of uses, or in other words, fair, wise, and balanced distribution of urban uses is one of the most important issues of urban planning. The present study is research in terms of purpose and analytical in nature. The library information of this research is collected from books and articles. For the analysis, the per capita index of service users was used, which was calculated and obtained in the GIS software. The statistical population of the research is the eight districts of Qom City. This research has tried to analyze the Spatial justice of service uses in the eight districts of Qom City with the ORESTE technique, based on indicators that are service uses per capita. For this purpose, the indicators were first weighted using Shannon's entropy method, the highest weight was assigned to tourism, and the lowest weight was assigned to the park. After weighing, the ORESTE technique was performed, and Region 7 had the highest and Region 6 had the lowest amount per capita. Then, with the dispersion coefficient, the two-by-two distribution per capita of the service uses of the regions was calculated, and the results showed that regions 2 and 8 have the highest and regions 5 and 7 have the lowest spatial distribution of service uses. Also, with the Spearman correlation coefficient, the correlation between the population of each region and the per capita service users was calculated, which showed a negative correlation, which means that as the population increases, the service users per capita decreases.

The most obvious example of human activities on the land due to the increase in population and the need for development is land use changes, which lead to changes in the provision of ecosystem services. To that end, the present study was done with the aim of quantitatively evaluating the carbon storage capacity and habitat quality and showing their spatial distribution to achieve social-ecological stability, sustainable use of land resources, and develop appropriate plans and policies in Chaharmahal and Bakhtiari province. The modeling of selected ecosystem services was calculated using InVEST software models and the capacity to provide them in land use classes using Zonal Statistics analysis in a GIS software environment. The results indicated that high-value carbon storage areas are focused in areas with forest cover, which have strong carbon storage capacity and are the largest carbon sinks in ecosystems. Likewise, the highest habitat quality was also observed in these areas, and in places where the vegetation is fragmented and the surrounding environment is occupied by human threat sources, the quality of the habitat has decreased. Spatially, carbon storage and habitat quality Indicated a low-high-medium spatial distribution pattern from north to south. The maps of ecosystem service created in this study can be useful in identifying potential areas of carbon storage supply and habitat quality, and provide a scientific basis for further discussion by policymakers about future land use planning, from the perspective of minimizing climate change and increasing biodiversity.

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.

Dou to the special importance of land use in Iran and the passage of over one year from the enactment and communication of National Land Use Document in March 2020 and the concerns about the practical steps to implement the provisions of National Land Use Document by executive organizations, the main question of this study is that in the light of the roles of related actors, how will this document be implemented? The research methodology of this study was actor-oriented, and the project was carried out based on exploratory and expert-based methods. Data were collected from 23 experts of Iran’s land use domain using a questionnaire. The data was analyzed using MACTOR futurology software. The results showed that from among the initial 33 effective actors in the Document implementation, 13 actors were selected as the main actors by the expert panel. It was observed that so far, no strong will has existed in those main actors to implement the National Land Use Document, and they don’t seem to be motivated to so in near future. In other words, the Document content and the potential of supervisory organizations are not so mandatory to force the main actors responsible for the implementation of the Document to put it into practice. Therefore, it is predicted that in future, the implementation of the Document will face serious challenges from institutions and actors. It is necessary for the responsible institutions (Planning and Budget Organization as well as Supreme Council of Land Use) to seriously follow up, make effective communications, bring about strong institutional combabilities among actors, and ask all implementing organizations to work in order to pave the ground for the formation of national will to implement the National Land Use Document as soon as  possible.

Urbanism in the world has had a great role in the formation of the concept of urban area. A high ratio of urban population resides in metropolitan areas, and the advancement of transportation and HSR network has changed the concept and dimensions of urban areas. As most of the analyses of urban area development through HSR has been limited to economic studies, this study set out to pay attention to the geographical concept of area and the effects of HSR as a strong policymaking tool in use. In this article, the systematic literature review based on keywords was used to extract the related articles from the most authoritative scientific websites, and then based on the evaluation of abstract, methods, and results sections of the articles, 75 papers published between 1938 to 2022 were selected as the sample. Then, attention was paid to the background and process of the evolution of attitudes and conceptualizations of urban area from the beginning till now. The metropolitan area is discussed based on analytical and normative approach at urban, regional, national, and global levels. With the connection of metropolitan centers to high speed access networks, polycentric development occurs. High speed rail (HSR) has the potential to help evolve the urban network, bring about urban area integrity, and develop new centers. The conceptual explanation of the strategy of creating polycentric metropolitan areas through the expansion of HSR can help expand the connect metropolitan areas, enhance integrity, create specialized cities, creatively use space organization plans, and solve part of the developmental issues.

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.

Neglecting coastal erosion and its changes can lead to environmental hazards, which are among the main factors affecting human communities and facilities. Paleontological research demonstrates tens of meters of fluctuation in the water level of the Caspian Sea. The shores of the Caspian Sea have variable topography and land use, including lowlands (estuaries of rivers, gulfs, and progradation) and sandy uplands. In lowlands, there is a slight slope that causes flooding of lands when the sea level rises, as well as an increased piezometric level of coastal aquifers. This study investigates changes in the coastal line from Talesh to Anzali over a period of 45 years using spatiotemporal analysis in the form of coastal cells. For this purpose, ArcGIS software was used to extract the coastal lines of 1975, 1997, and 2020. Then, using DSAS software, the amount of changes in the coastline was determined. The research results showed that changes in the coastal line in the study area were entirely influenced by the fluctuations of the Caspian Sea level, with 77% of the coastal line experiencing more than 30 meters of retreat. Human activities have somewhat prevented the instability of the coastline due to changes in the water level of the Caspian Sea.