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.

One of the policies that has been taken into account by many countries to develop sustainable tourism is the development of touristic towns and villages in a centralized manner and the prevention of haphazard, unplanned contractions that destroy environment, sociocultural context, and economic structure of the touristic attraction sites. This policy was enacted by the Iranian cabinet in 2017. The purpose of this study was to present a methodology to identify the spaces suitable for the development of touristic towns and villages. The study was applied in terms of purpose and descriptive-analytical in terms of methodology. As the input of the analytic model, the spatial territory of Mazandaran province was divided into 23007 spatial units, each covering 100 hectares. Then, the development of touristic towns and villages were evaluated and prioritized. In this article, the combined index of “the priority of the development of touristic towns and villages in Mazandaran province” was made by combining exploratory factor analysis and network analysis (F’ANP) based on 14 factors effective on the development of touristic towns and villages. The resulting map was then trimmed based on four control indices. The findings of the model showed that the three factors of “environmental potential and transportation infrastructure,” “the quantity and quality of serving the tourists,” and “tourism investment potential” are effective on the prioritization of Mazandaran province spaces in order to develop touristic towns and villages. The results of study demonstrated that the development of touristic towns and villages in this province is possible in the middle and eastern side of seashore, in limited areas in the eastern plains, and in the eastern and western mountainous lands.

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.

The risk of earthquake always influences the human communities and inflicts irreparable damages to them. Therefore, preparation against this crisis through the identification and elimination of vulnerable parts is effective in reducing the damages of earthquakes. As Iran is located on one of the two major seismic belts of the world and has many faults, the occurrence of earthquake in the Iranian plateau is natural. Iran is among the top ten countries with the highest rates of earthquakes. Urmia city, which is located on the skirts of Zagros mountain range, is not an exception in this regard, and every year many earthquakes with different intensities occur in this city. Therefore, in order to confront the foregoing issue, we need precise studies regarding construction and safety. In this study, to evaluate the rate of vulnerability to earthquakes, the effective parameters were identified and then were weighted using fuzzy hierarchical analysis. The vulnerability map was prepared using index and fuzzy logic overlay method for Urmia statistical blocks and was presented in the spatial information system environment. The obtained results indicated the vulnerability of nearly 50 percent of the city area to earthquake (i.e., 151574 m2), with .005 percent having a very high vulnerability grade and .40 percent (i.e., 11538359 m2) a high vulnerability grade to earthquake.

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 progress of smartening cities on the one hand and the requirements of urban sustainability on the other hand have paved the way for transition to the sustainable smart city. The study at hand was carried out to present an optimal model of smart city from the viewpoint of sustainable urban development. This study was an applied research project in terms of purpose and a cross-sectional survey in terms of research method and data collection timespan. The statistical population included urban management managers and experts. The optimal sample size was determined to be 384 using Morgan’s table and the participants were selected via simple random sampling method. The data was collected through a questionnaire that had been validated through construct, convergent, and divergent validity measures. Using Cronbach’s alpha and combined reliability measures, the dependability of the questionnaire was confirmed. To validate the smart city model from the viewpoint of sustainable urban development, the partial least squares regression and Smart PLS software were used. According to the obtained results, the smart urban infrastructure and smart governance are the two cornerstones of the model that have the strongest effects on the creation of a smart city based on sustainable development. The effectiveness rate is decreased in the subsequent levels and the variables at the same level show mutual interaction. By affecting the smartening of transportation and influencing the technology-based smart businesses, these factors lay support to smart economy and environment. Then, through smart structures and smart people, the sustainable urban development can be attained, which in turn leads to smartening the city.

The sustainable physical-spatial development of Mashhad urban complex is the prerequisite of attaining sustainable regional (provincial) and national development. This necessitates paying attention to the development of scenarios that set the ground for the development of Mashhad.  In the study at hand, it was tried through the participation of the provincial managers and academic experts to identify first the key drivers of physical-spatial changes in the rural settlements of Mashhad urban complex and then the scenarios effective on the physical-spatial development of these settlements. This study was applied in terms of purpose and descriptive-analytical in terms of research method. The data was collected through library research, document analysis, and survey (interview) methods. Examining scientific resources, 69 factors effective on the physical-spatial changes were identified, which were grouped into five dimensions. Then, 29 participants in two groups, namely the managers of the related organizations and academic experts, were interviewed. Data analysis was done based on future research techniques, including Schwartz model, structural analysis, and interaction analysis, using Micmac and Scenario Wizard software packages. The results showed that 512 scenarios have weak compatibility, and only one scenario has strong, sustainable compatibility (zero incompatibility) (2.8 percent of possible scenarios are credible). The first scenario, which is in positive direction, has the overall interaction effect score of 771 and compatibility value of 7, while the second scenario that expresses the fairly favorable conditions for the future of rural settlements has the overall interaction effect score of 736 and compatibility value of -2. The third scenario, which has the compatibility value of -3 and the overall interaction effect score of 695, can be one of the possible scenarios for the future physical-spatial changes in rural areas, too.