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.

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.

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.

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.

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 present study is a combination of documentary and survey methods in terms of applied purpose. Documentary and field methods have been used to collect the required information and data. Also, according to the purpose of the research, among the households of selected villages, 352 households have been determined as a sample using Cochran's formula. In particular, in this study, using Gephi and GIS spatial analysis software and network analysis methods, the flows and relationships mentioned in the study area have been analyzed in order to form a regional network based on links. And to integrate integrated rural-urban development. The results show that there is a direct correlation between flows and the level of development of rural settlements to form a regional channel. Spatial flows, especially economic flow, and population, have provided the background for urban-rural interactions in the study area, and in the first level network hierarchy, all cities and rural centers are subordinated to the Hanza urban center with the highest score in providing services. In fact, the lack of spatial development planning to regulate the relations and connections, and consequently the lack of attention to the role of the surrounding villages of Hanza, has caused us to not be able to direct the currents and factors that shape and influence these connections which pave the way for the development of the whole system.

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.

Today, the expansion of urbanism has led to many problems for various countries in the world, especially developing countries. Iran is one of the developing countries that in recent years has faced numerous damages due to population increase, especially in urban areas. In recent years, countries in the world have tried to overcome the problems deriving from unsustainable urbanism via using sustainable urban development. Accordingly, the authors carried out this study to determine the similarities and differences among sustainability evaluation systems existing in developing and developed counties and explain the needs of developing countries, like Iran, to improve management of urban areas. Therefore, in the study at hand, the global urban sustainability indicators such as BREEAM Community، CASBEE-UD، GBI Township، LEED-ND، IGBC Green Townships، GRIHA-LD، Green Star, and IUSAF were examined and were compared with the intended system in Iran (IUSI). In this process, the similarities and differences of selected evaluation systems were compared with each other in terms of type and importance level of indicators. The obtained result showed that the urbanism challenges in various countries in the world are different based on the development level and environmental, social, economic, and geopolitical conditions. In addition, the most important indicators of urban development measurement in developed countries were identified as energy, resources and social welfare, smartening, and environment, while the prioritized indicators in the developing countries were determined to be planning and developing the society, managing infrastructure resources, transportation, local security and economy, employment, and – mostly importantly – access to healthy water. Moreover, the findings of this study indicate that via localization of the systems and indicators related to sustainability evaluation for every country, region, or province, a more precise evaluation can be attained. This can offer great assistance to future planning to advance the sustainable development goals.

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.

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.