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.

The growing role of science and technology in economic development makes the necessity of policymaking and planning for the science and technology system more important. In line with centralized, top-down planning approaches to science and technology policymaking, the spatial planning approach is a bottom-up effort to identify regional capacities and potentials in order to provide an endogenous and balanced model for the development of science and technology. Although the spatial planning approach in its general form has a multi-decade history in the planning literature, the optimization of this approach in the science and technology governance needs methodological innovations. The purpose of this study was to provide a science and technology spatial planning methodology using institutional mapping. To this end, we used two cross-sections. On the one hand, we took into account innovation within a regional system, and on the other hand, we adopted the institutional mapping to attain a method for its analysis and estimation. In this system, first the institutions of the science and technology institution including the science institution, the technology institution, and the market institution were identified, and then the interconnection capabilities of these three institutions and their subsidiaries were evaluated. This was done through the extraction of the similarity graph. The similarity graph, which was obtained through the quantification of binary relationships of the science and technology system sub-institutions, expressed the diversity and intensity of the connections of each institute with other institutes. The more diverse and intense the relationships among the institutions were in general, the more optimal the science and technology system would be. Ultimately, observing this graph, the policymaker can design a scenario for moving toward regional balance for each of these institutions so that in the predetermined chronological horizons, the institutional proximity is increased and the agreement and accord of the institutions are enhanced.

Air pollution is one of the most important problems of industrial cities. The existence of large industrial factories, official and industrial facilities, National Iranian South Oil Company, National Iranian Drilling Company, etc., have turned Ahvaz to one of the main industrial centers and one of the most polluted cities of Iran. Coming into contact with airborne microorganisms is related to a host of negative effects on the human health. This study was carried out to find out the effect of oil industries on air pollution and its optimal locating through the environmental approach in Ahvaz metropolis. In this study, SCREEN3 software was used to find out and analyze the distribution of Sox, NOx, and CO pollutants. Based on expert opinion, the main criteria were determined as climatic, natural, environmental, and economic factors. After calculating weights through the AHP model and attaining the information layers, the GIS software capabilities to combine and overlap the maps were used. This led to a map depicting the optimal location of oil industries congruent with the environmental approach in Ahvaz metropolis. According to the obtained results, there should be no residence-based activity in at least 5000 meters distance from the oil industries, where air pollutants have a considerable density. That is to say, within this distance, the animate and inanimate creatures will be damaged the most. The most optimal areas for the establishment of oil industry facilities are located on the west, south, southwest, and parts of east and north of the area under study.

The main purpose of this study was modeling the suitability of recreational services in order to identify the high-priority areas for the development of recreational activities. To identify the spatial patterns of recreational services, the landscape attractiveness index, visit rate estimation, and access distribution were combined using a set of sub-indices. Moreover, the weight of each index was calculated using CRITIC weighting method and the importance of each index in the formation of recreational services spatial suitability was determined. The results showed that the presentation of highly recreational services is mainly done in the areas with forest ecosystems, protected areas, and aquatic ecosystems such as rivers and wetlands that have diverse landscapes. On the contrary, urban and human-built areas have the least potential for the provision of recreational services. Getis-Ord Gi* statistic was used to model the recreational suitability, identify recreational suitability clusters, and zoning. With its very low suitability, Zone 1 covers 19.9 percent of the area under study. This zone is mainly filled with agricultural lands (54.7%), grasslands (36.1%), and urban lands (6.8%). In contrast, with its very high recreational suitability, Zone 5 covers 16.5 percent of the area under study. The main uses of the lands in this zone are forest lands (55.5%) and aquatic layers including rivers and wetlands (17.2%).  Zone 3, which has an average suitability rate, covers more than half of the area under study. The approach presented in this study helps identify the development priorities in the light of the recreational potentials of the ecosystems existing in an area. Thus, it can be used to improve the spatial planning of recreation and tourism in order to preserve ecosystem services and sustainable use of them.

Hospitals are among the most important service centers, and the selection of the optimal site for them is a very important (yet complex) undertaking, as it can bring about optimal spatial distribution of hospitals and can make them optimally accessible for citizens. In the present study, in order to optimally locate hospitals in District 5 of Tehran metropolis, a combination of the geographical information system, objective weighting methods, and multi-criteria decision making method was used. The geographical information system was used to analyze and manage the optimal hospital locating criteria, the CRITIC weighting method was implemented to account for the correlation between the criteria, and Shannon's entropy method was used to model the existing uncertainty in the criteria. CODAS multi-criteria decision making method was used due to its novelty and the evaluation of alternatives based on two criteria. Based on the results obtained from CRITIC weighting method, distance from health centers, and based on the results of Shannon's entropy method, distance from industrial areas were the most important optimal hospital locating criteria. The results of ranking the candidate sites using CRITIC-CODAS and Shannon’s entropy-CODAS were almost the same, and both methods identified the sites on the western side of the District (that did not have any hospital) as the appropriate sites. The results of the study indicated the high accuracy of combined objective weighting and multi-criteria decision making methods in optimal locating of the hospitals. It might be asserted that these methods can replace thematic weighting methods such as analytical hierarchy process.

Sustainable development has gradually and over time brought about various approaches with different goals. Ecological city is one of these approaches that has a stronger emphasis on environment issue as well as the relationships between city development and nature. The purpose of this study was to determine the local factors effective on the achievement of ecological city in order to sustainably develop Darcheh city. This study was mixed-methods (qualitative-quantitative) in terms of paradigm, and descriptive-analytical and exploratory in terms of nature. Data was collected using document analysis and field study through two means: interviews with experts using the Delphi method and a questionnaire. In the qualitative phase (the Delphi method), 30 experts and specialists were interviewed. In the quantitative phase, the statistical population of the study was comprised of Darcheh citizens aging over 15, who were 37367 individuals in the year 2016. From among these, 375 participants were selected using cluster sampling. The face validity of the questionnaire was confirmed by the urban planning experts, and its reliability was corroborated through Chronbach’s alpha coefficient. The results of the study in both phases (qualitative and quantitative) showed that the environmental and economic dimensions – with the average scores of 4.23 and 4.11 and (beta) regression coefficients of .345 and .349 – best describe the achievement of ecological city, there is a relative homogeneity among various neighborhoods of the city in terms of ecological city indices, and the ecological city development can be attained through a clear model. Moreover, according to Pearson correlation coefficient, the citizens who have had a higher educational level have shown a higher tendency (.585) to help implement the ecological city project.