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 present research has been carried out with the aim of identifying the challenges of tourism in Soleqan village during the Coronavirus pandemic with an analytical approach it is functional and it has been done using qualitative paradigm and exploratory theory method. The research community is made up of tourism experts and specialists from different rural areas and 15 of them were selected by using the combined purposeful sampling method. The data collection method was done using library studies, interview protocol, and direct observation and continued until reaching the theoretical saturation level. Data analysis was performed using coding. The collected data were analyzed through content analysis. The results of the research show that the most important challenges caused by the pandemic in Soleqan village are: not being used, remaining unknown and destroying the human, natural, and cultural capacities of villages, paying less attention to the native and local attractions of the villages, economic recession (poverty and unemployment), the inefficiency of the policy process, planning and lack of government and local support.

As the distinguishing boundaries between upper and lower levels, regional plans and programs have an effective role in bringing about coordination between planning levels and improving their effectiveness and functioning. Due to the importance of planning and the results obtained from regional programs, the study at hand set out to examine plans at national, regional, and provincial levels based on regional approach with an emphasis on Gilan province plans. In this study, qualitative research method was used, and to classify the existing knowledge, the required data was divided into research analysis units, namely the plans and programs at the three foregoing levels. These were then analyzed using content analysis and document analysis methods in NVIVO 12 software. After data analysis, 96 open codes were achieved. The homogeneity of the open codes of each of the three levels led us to extract the main axial code titled “region-oriented approach in plans and programs at national, regional, and provincial levels” along with three other secondary axial codes, namely “holism and movement toward abstract and stereotypical concepts and issues,” “regional plans following macro plans,” and “lack of a regional decision making mechanism at the province level.” It is noteworthy that the highest regional approach presence was found at province level with 49 open codes.

Despite having abundant wealth, power, and resources and making great efforts to bring about regional balance, there is a deviation from spatial equality in Iran’s structure, which has led to the establishment of center-periphery structure as the dominant model in Iran. This structure has been created due to many factors, forces, and currents. Therefore, the purpose of this study was to present a theoretical model of spatial inequality in Iran using Lynham’s theorizing method. There were five steps in the application of this method. In the first method, i.e., conceptualization, the theoretical model was developed using meta-synthesis method and MAXQDA software. The obtained model entailed a host of concepts and components. These included  context-based  theory-driven discourse, centralization and making the periphery dependent, the reverse results of development plans, unequal power relations, inequality of benefits and wealth (economic inequality), inappropriate policymaking and management, weak local and regional management as opposed to central power, unbalanced distribution of population and activity in geographical spaces, and unbalanced distribution of natural resources. These concepts, grouped into ideological, economic-political, and contextual discourses, have created spatial inequality and center-periphery relationship in Iran.

In order to explain the ecological-sociological strategy of Tehran land use network/ land cover, the present study was tried to identify the spatial process of the change in the landscape mosaic pattern and its effect on carbon sequestration over the course of 3 decades from 1990 to 2020. In this study, the role of landscape measures in the identification of landscape mosaic spatial pattern changes and its combination with data obtained from ecosystem service modeling was shown. To this end, after examining the process of structural-functional changes in landscape mosaic using decision tree algorithm and InVEST model, the complexity of the relationship between landscape spatial pattern and the quantity of carbon sequestration regulatory services at the two levels of class and landscape was addressed using the measures and data obtained from InVEST model. The findings indicated that the volume of carbon sequestration regulatory services in all periods had reduced due to the effects of the spatial process of “accumulation” in construction strains. Moreover, in the 1990-2020 period, the highest rate of carbon storage loss (291656 tones, 9.58%) occurred due to the effects of the spatial processes of “deletion” in green lands and “fragmentation” in barren lands. In the 2000-2010 and 2010-2020 periods, the volume of carbon storage reduction were 182209 (6.62%) and 159688 (6.22%) tones, respectively. Pertaining to this discussion was the finding that the effect of the change in the index of strain numbers in green and barren lands for all periods was accompanied by increased fineness, which indicates its reverse relationship with carbon sequestration rate. On the other hand, the reduction of other measures in green and barren lands reveals the existence of a direct relationship with the loss of a volume of carbon sequestration in the foregoing period. At the landscape level, the reduction of heterogeneity and simplification of the landscape mosaic spatial pattern led to the reduction of carbon sequestration. From this perspective, it is necessary to prioritize the identification of the spatial processes effective on the landscape structure model in the completion of the processes of the evaluation of the urban development effects on the carbon sequestration service current.

The development of urbanization in accordance with environment is an important issue for sustainability. A correct understanding of the relationship between urbanization and environment is highly vital for the coordinated development of both systems. In recent decades, the expansion of urbanization and manmade infrastructure without taking into account the environmental resources has been increasing. This has led to numerous consequences such as the reduction of environmental resources and the escalation of environmental pollution, and has severely endangered the future of sustainable development in Khorasan Razavi province. In the study at hand, the balance among urbanization and environment subsystems was examined using the coupling coordination degree model in the cities of Khorasan Razavi province. The ranking of cities was done based on the coupling coordination degree scores. Based on the scores of cities in each subsystem, the cities were divided into four areas, namely areas under urbanization pressure, areas under environment pressure, areas under dual pressure, and areas under no pressure, and the relationships between the coupling coordination degree and the areas were compared. The results showed that Gonobad (.66) and Dargaz (.62) cities have achieved the highest balance score and have been classified in the primary balance group. On the other hand, Khoshab (.36), Mahwelat (.38), and Davarzan (.39) cities had the lowest rate of balance and were classified in the average imbalance group. While the majority of the cities located in the areas under double pressure and environment pressure were classified in the low imbalance group, most of the cities located in the areas under no pressure and urbanization pressure were grouped in the near-to-balance category. Overall, based on the calculations made in this study, the coupling coordination degree has been increasing from dual pressure area to area under environmental pressure, then to the area under urbanization pressure, and finally to the area under no pressure.

After the implementation of the contemporary knowledge and innovation spaces as the driver of economic growth and the long-term development of cities and regions, this idea has come under criticisms, especially due to its compliance with capitalist structures. In practice, the problem is that the attractiveness of life, work, and recreation in these spaces is purely accompanied by the consideration of the needs of creative layers of society with a mercantilist view and through sacrificing many primarily qualitative and secondarily contextual indices. Therefore, although these recently found arenas have received positive global attention, they face some challenges. One of these challenges is the low quality of places in the neighborhoods entailing contemporary knowledge and innovation spaces. Therefore, the purpose of this study was the attainment of qualitative factors of the placemaking mechanisms and urban policymaking of contemporary knowledge and innovation spaces as well as the development of the existing conceptual framework to respond to the criticisms in this regard. The research method was the qualitative and quantitative content analysis of the related documentary data and provision of an answer to the nature of the palcemaking factors using unlimited classical meta-analysis of Persian and English resources, including the scientific-research articles, theses and dissertations, books, and reports, and then coding and counting the frequency of the analysis units. At the end, the meta-analysis of the resources led to the identification of 21 conceptual labels for contemporary knowledge and innovation spaces in the form of four dimensions of characteristic, form, performance, and image. Consequently, it seems that consideration of the requirements of placemaking the related spaces – including accessibility, participation, investment, acceptance, social liveliness, dynamism in activities, and integration – can help increase the quality of knowledge and innovation spaces in the contemporary era.

In recent years, the infrastructure systems have been mostly failed due to the increase in natural or manmade disasters as well as the internal and external dependencies among system components. The mutual infrastructure dependencies might cause more vulnerability and bring about cascading failures. The main objective of this study was to develop scenarios of geographic interaction in critical infrastructure during urban hazards in Ahvaz. The study was developmental-applied in terms of purpose, while in terms of methodology, it was descriptive-analytical done based on field study and document analysis. The study indices were extracted and related via combining the results of expert opinion and existing records. To develop scenarios, after identifying the variables, the key factors affecting each topic were specified, and then various conditions were defined for each variable. The identification of driving forces in Ahvaz infrastructures interaction was done using models such as “cross-impact analysis” using MICMAC software. In order to identify, analyze, and adopt selected scenarios, cross-impact balance analysis was run in ScenarioWizard software. The inspection of scenario screen in ScenarioWizard software showed that from among 80 existing settings of critical infrastructure spatial interaction drivers, 26 cases (32.5 percent) were in statistic form and 25 cases (3.125 percent) in critical conditions.

This study aimed at evaluating the supervised pixel-based classification of the maximum likelihood in the examination of the climactic changes of the Urmia Lake catchment area in 1-, 6-, 10-, and 14-year spans and then evaluating and modeling the changes in the gardens neighboring Lake Urmia during a 30-year span and its role in the changes at Lake Urmia water level. In this study, first the Landsat images of the years 1990, 2000, 2014, 2020, and 2021 were downloaded. Then, using the ENVI5.3 software, a classification was made based on the maximum likelihood method. Next, the IDRISSI TERRSET software and CA-MARKOV model were used to model conditions for the year 2051. This model was then analyzed in the GIS software. It was found that the classification based on the maximum likelihood method has been an appropriate one. The results of this classification showed that overall, the maximum changes from 1990 to 2021 has been related to the irrigated gardens and fields. In this period, 3495 square kilometers have been added to these lands, i.e., the number has doubled. Modeling the 2051-year conditions in the light of the transition probability matrix showed that the maximum likelihood of land use changes is in the irrigated garden and farm use. On the other hand, the modeling in this study indicated that there has been a reduction in the expanse of irrigated gardens and fields as well as salt lands in the region. Finally, the model predicted an increase in water area in 2051.