مرضیه موغلی

The increase in industrial activities and the dispersion of interdependent industries in unfavorable climatic situations have caused environmental problems and issues on the other hand, it can be considered a serious obstacle to sustainable production in industries. The purpose of this research is Interpretive ranking appraisal of ecological drivers of sustainable production in the oil industry.  

This research, which is considered developmental and mixed in terms of methodology, tried to identify the ecological drivers of sustainable production in the oil industry by relying on Meta-synthesis analysis and Delphi processes in the qualitative part of the research. Then, in the quantitative part, interpretive ranking analysis will be used to identify the most effective ecological driver of sustainable production in oil industry. The participant in the qualitative section was 14 specialists and experts in the field of industrial management at the university level and in the quantitative part, the participation of 23 managers and the experts was used from the management level of the development center in the National Iranian Oil Company, who had experience both in terms of knowledge and experience. The results of the research in the qualitative part after the content screening of 14 confirmed studies indicated the existence of 6 ecological drivers of sustainable production in the oil industry.

The results in the quantitative part of the research showed that, from the sum of the overall effectiveness based on the paired scale between the research components, it was determined that the percentage of influence of the stimulus, ecological, climatic and environmental positioning is higher than the rest of the ecological stimuli of sustainable production in the oil industry.

The obtained result expresses the fact that ecological positioning in terms of climate and environment helps the oil industry by bringing together companies active in this field, while preventing the dispersion of industrial companies, at the same time can by evaluating the soil; Plant and animal diversity and other environmental aspects prevent the erosion of natural resources and environmental pollution.

Lar city witnessed a 6.1 Richter earthquake in 1960, which destroyed the city. Today, this city is the largest residential center of Larestan, with two dynamic parts of the old city in the northwest of the Lar plain and the new city after the destruction caused by the earthquake, located on the Tangeh Asad alluvial cone in the south of the plain. The research aims to investigate the physical vulnerability of old and new cities against earthquakes with macro and micro indicators and an analytical comparison of these two parts of the city. The statistical population of the research is the entire area, including all the neighborhoods of the old and new city of Lar. Data collection was done in the form of a field library, and the main data was collected from the Statistics Center and Lar Municipality census data. The analysis of the data was also carried out by weighting the indicators with the help of the Delphi technique and measuring importance with the opinion of experts, then weighting was done with the help of hierarchical models, and finally, with the data in the GIS software, maps of the vulnerability of the indicators and the final map of vulnerability were obtained. The results show that the level of vulnerability is very different among the localities, and the factors involved in these localities and the entire city are not equally effective, various reasons played a role in them, including the physical factors of the building and environmental physical factors, including services. The basic infrastructure of the city, including medical and health spaces. Examining the vulnerability indicators indicates that we need a strong and efficient management and organizational solution, as well as physical and environmental solutions, to reduce the vulnerability and increase the resilience of the city.

Throughout the history of human life, natural hazards have always existed, but due to the exponential growth of the population and the density of humans in all areas of life, especially in high-risk areas, today mankind is witnessing major disasters such as floods, tornadoes, droughts, etc. In this regard; The aim of the current research is to identify and explain the structural components explaining natural hazards in the development of Ahvaz metropolis. It is practical in terms of targeting and descriptive-analytical in terms of methodology. The statistical population consisted of university professors and experts in the field of research in Ahvaz city, who were selected by purposeful sampling. Therefore, in this research, 30 university professors and research experts were selected from the purposeful judgmental sampling in order to carry out and implement the research. became In order to achieve the goals of the research, using the new analytical methodology of Interpretive Structural Modeling (ISM), the relationships between factors were determined and analyzed in an integrated manner. Finally, by using MICMAC analysis, the factors with regard to their influence and effectiveness on other components, The results of the interpretative structural model of the factors affecting the internal development of the city showed that the obtained model includes four levels, and the results showed that the factors of flood and fine dust are the most basic factors affecting the internal development of the city, which should be considered in the first place. They should be emphasized, in other words, any action to lay the groundwork for the internal development of the city requires attention to these factors along with the other mentioned factors.

For the basic development of cities, it is necessary to know the characteristics of the environment, and effective steps can be taken in the location of buildings and the expansion of cities. In this research, the zoning criteria of areas prone to urban development were determined with emphasis on geomorphological capabilities and risks in Isfahan city. Then the criteria were checked in terms of coordinate system and data accuracy. AHP model was used to evaluate the value of the criteria relative to each other. Pairwise comparison of the criteria showed that faults with a weight of 0.420 had the greatest role in the development of the city according to the experts, and the criterion of distance from the road with a weight of 0.072 had the least effect according to the experts. Finally, the obtained weights were applied to the layers. The final zoning map of the criteria with the AHP model showed that there is a lot of potential for development in 30,287 hectares of the area of ​​the study area. These areas are located in the city center and areas with low slope and low altitude and near the river. The areas with very low talent are 1020 hectares, which are observed in the northwest, east, and south of the investigated area. The classification results of satellite images from 2000 to 2020 showed that the area of ​​barren and man-made areas increased by 1319.15 and 4744.44 hectares, and the area of ​​agriculture and other uses decreased by 4370.1 and 1831.03 hectares. The development of the city is in the center and the outskirts of the city, and according to the zoning map, the southern areas of the city are unsuitable for expansion, but currently, according to the classification map, the expansion of the city is observed in these areas. With the optimal location of the physical development of cities, the negative effects of the city development from the environmental, natural and human factors point of view are reduced. Therefore, it is important to examine the physical development and orientation and factors affecting urban development.

The livable city is one of the new and effective concepts in the current city systems, which has found a worthy place due to its important and essential role in the evolution of the thoughts and ideals of the contemporary society. Considering the importance of upgrading and improving the living conditions in the central part of the cities on the one hand and emphasizing qualitative issues instead of just paying attention to quantity

This research was compiled with the aim of analyzing the urban livability of informal settlements. This research is applied in terms of purpose and in terms of descriptive-analytical method. The statistical population of the research was made up of citizens living in informal settlements in the 9th district of Shiraz. The statistical sample size was estimated to be 384 people using Cochran's formula. The data collection tool was a questionnaire, the validity of which was verified in the form of face and face validity, as well as divergent validity and reliability of the questionnaire using Cronbach's alpha and composite reliability. Analysis of data and information was done using spss and pls software.

The findings of this research showed that the overall livability of the studied area is in an unfavorable condition. In such a way that the experimental average value obtained for its livability and dimensions was less than the average value of 3. Among the localities of the studied area, Sultanabad neighborhood had a better condition than other studied localities in terms of urban livability. Among the other findings of the research, among the dimensions of urban livability, the physical factor with a path coefficient of 0.418 has the greatest effect, which indicates that this factor must be strengthened first for the livability of the studied area. In the next rank is the social factor with a path coefficient of 0.288. In the third place is the environmental factor with a path coefficient of 0.284 and in the fourth place is the economic dimension with a path coefficient of 0.196.

The results showed the low level of urban livability for the studied area, and in this case, city officials can provide the basis for improving the livability of the studied area by applying and using the opinions of experts in the field of urban planning.

Today, studies and researches based on land use are carried out in order to meet the needs of the land surface with multiple uses such as agricultural land, gardens, residential areas and industrial areas, etc. Using remote sensing images as a new tool in surveying land cover and land use types, their changes over time can be checked and confirmed. In today's world and with the growth of technology, satellite observations are very important for understanding land use patterns in large areas and detecting changes over time.In recent years, the use of satellite images in determining land use and investigating the expansion of cities has been of great interest. The use of remote sensing technology with the aim of examining changes over time is an inevitable necessity. Paying attention to the adverse effects of land use change in the management of urban areas by planners using Landsat satellite image information is very useful. Therefore, due to the rapid growth of urbanization, not only a large amount of urban natural lands have changed their use, but the expansion of cities has caused socio-economic and physical use changes in the surrounding villages. Therefore, it can be claimed that the science of remote sensing is a comprehensive tool for managing natural resources and remote sensing satellites are the best and most accurate data sources for detecting, quantifying and mapping patterns of land use changes.

First, satellite images of three appropriate time periods were collected from different sources. The data were checked for geometric and radiometric errors and were received at the L1T level. To prevent errors, by displaying individual bands and different color combinations on the computer screen, the data in terms of radiometric errors were investigated and the atmospheric correction was done in the software using the ENVI method.To check the geometrical situation, the georeferenced image was prepared from the USGS site, and the intersections and important points were checked in the ENVI software. Then, the prepared images were classified by image classification and band combination software such as ENVI 5 and ILWIS and based on ground control, the classification was done. Relevant corrections were applied according to the needs of the obtained images. Coding and combination of color images for different decades were carried out. The next step was to determine the number of desired classes for supervised classification and to determine land use, and then to ensure the accuracy of the classification, a scattered sample was collected from all the studied areas. The fuzzy logic method based on the theory of adaptability was used to classify the image and extract land use and land cover maps. Finally, using this model, a map of land use was prepared from the studied area, and to evaluate the changes, the area of each of the land use classes in each period was drawn in the form of a table.To figure out the changes in the studied area, the maps obtained from the classification of images were studied with the orthogonal table method, and the prepared user maps were compared two by two and created as a matrix. The simulation was done in the relevant software such as IDRISI, GIS. By comparing the land use of the first two decades with the third decade and using the Markov chain method, simulating and predicting the trend of land use changes for the coming years was considered as the forecasting horizon in this research.

Geometrical corrections were made in ENVI software. The obtained images had no significant error and atmospheric correction was also applied. The RGB composition of the image was prepared and the desired OIF index was calculated by ELWISI software to prepare the best band composition of the images. The obtained combination was pasted together in ENVI and the desired range was classified. In addition, the images received from TM and ETM were combined using spectral bands and panchromatic bands, which have high spatial resolution, and a better image was created.

The 15-year study period with the expansion of built-up lands, shows the most destruction in the agricultural lands of the outskirts of the city and barren lands in the border and suburbs of the city and farming lands. This trend can lead to environmental damage and further reduction of agricultural lands in the region. Previous research and experiences show that the use of a GIS system in the field of implementation and management of land use changes, especially in agriculture, is inevitable. According to the result of the artificial neural network and Markov model and drought in recent years, it is necessary to note and manage the hydrology of the region. Also, due to the passage of two main roads, one from the southern industrial area (Southern Parian) and the other from the east, it is necessary to plan more precisely for the land uses and development of industrial and urban areas. The amount and type of cultivation in the plain lands of Firozabad need to be reconsidered so that foreseeable problems in the region can be solved before they occur. Undoubtedly, it is necessary to have a spatial database of the land use areas of the city under study, which comes from various sources, including satellite images, public information, and cadastral maps.

Starting to apply the principles of passive defense in urban planning with the aim of minimizing the possible possibilities caused by man-made threats has an important place. Therefore, the main goal of this research is to determine the importance of urban medical geomorphology indicators on the vulnerability of the area, to evaluate the city of Shiraz based on these indicators and to identify the vulnerable areas of the city of Shiraz in the environmental conditions of possible man-made hazards. This research is descriptive-analytical and case in terms of methodology. In order to identify the vulnerable areas of Shiraz city, the integrated model of fuzzy hierarchical analysis and weighted measurement is used in the geographic information system. Maps related to vulnerability measurement criteria using fuzzy and ANP fuzzy logic chain analysis method in geographic information system, preparing fuzzy maps using weighted linear combination with combined combination and using the method of weighted ordinal measurement (OWA) The final vulnerability maps of the studied area are prepared. In the following, with the aim of identifying and identifying the acute geomorphological complications in passive defense, in the analysis of this region, the analysis of the territorial system has been used, as well as the analysis of all these complications with the SWOT method and model. The most vulnerable is related to the central area of the city and Koi Waliasr. The effects of geomorphology (elevations and alluvial cones) in the north and west of Shiraz city are more and more important than other effects in passive defense.

Drought, as one of the most destructive natural disasters, has extensive negative effects on the environment and human life. Meteorological data is used in this research. Among these data, SPI standardized precipitation index and ZSI score index (Z) are used. The bands used by MODIS gauge include bands 1 to 7, 31 and 32. In order to calculate the drought indices, SPI-SL-6 and DIP software, which are designed based on the monthly time scale, were used for a 3-month time series. To prepare the layer in the ERDAS IMAGINE program, the stack layer is prepared and in the ArcGIS program, the border of Haji Abad city is separated and finally the NDVI and LST layers related to each year are extracted. The investigation of the occurrence of meteorological drought by the SPI _3 index in the stations located in the study area indicates that the region had normal years in terms of drought during the years 1391 to 1393, which intensified in the years 1994 to 1995. But during the years 1996 to 1400, we witness the occurrence of droughts with different degrees in the region, which intensified during the years 1998 to 1400. The investigation of meteorological drought using the ZSI index in the period of 2011 to 2014 and in 3-month intervals in the studied area shows almost the same results as the SPI index. . The comparison of SPI and ZSI values in different years shows a very high correlation in the first 3 months of each year, considering that a significant decrease in vegetation and pastures has occurred in each period of time, which has caused the impoverishment of pastures. At a glance, it is important to note that the most drought-affected areas are low-density pastures.

Purpose the purpose of this research is to investigate and analyze the state of resilience against flood hazards in District 3 of Shiraz. The present research has been done by combining objective data taken from statistical documents and written reports as well as questionnaire data from surveys.The statistical sample of the research is 30 professionals involved in crisis management and resilience in District 3 of Shiraz Municipality. The sample volume was determined using the theoretical saturation method and the snowball method was used for sampling. In order to determine the weight of indicators and their importance in resilience using Shannon's entropy method Also, in order to evaluate the resilience of the studied areas, the copperas method has been used. The results of the surveys show that in four dimensions (physical, economic, social and institutional) Areas 6 and 5 have better performance in terms of resilience And areas 7 and 2 have poor performance in flood resilience variables.

Today, the occurrence of natural hazards and the damage and casualties caused by these hazards in different parts of the world have made making cities and urban areas safer, becoming a long-term but achievable challenge. Making cities resilient in different dimensions is a suitable and efficient way to strengthen the city's structure to deal with natural and unnatural crises and hazards. Therefore, the purpose of this research is to investigate the relationship between the resilience of Bandar Abbas city and the state of vulnerability to natural disasters.

research method in terms of purpose, applied and in terms of descriptive-analytical survey method, the method of collecting information in the form of documents (library) and field (interviews and questionnaires) and to analyze data from geographic information system and analytical model of DeMitel and network analysis of ANP is used. The investigated variables in order to explain the resilience of Bandar Abbas city are the state of open spaces, incompatible uses, land (substrate), building resistance, access, ownership, density, which are analyzed in the presented paradigm. After collecting the points and the product of the points in the obtained coefficients, from the statistical processes to the urban resilience model, the final measurement of the urban resilience in Bandar Abbas has been made.

The results show that its value was calculated as 5.44398, which indicates that there is an urgent need to formulate programs and reform structures to increase the level of resilience in this urban area

Urban public spaces are a platform for the production and exchange of public and civic activities of the citizens of a city, and the proper quality of these spaces is a necessary condition for any urban society. Considering the importance of this spaces, the purpose of this study is to evaluate the quality of public spaces in the new city of Alishahr. In this regard, the research method is mixed (a combination of quantitative-qualitative approaches) with an applied purpose and descriptive-analytical and survey nature. Findings show that based on the structural model and the amount of t-statistic obtained, among the 17 variables studied to assess the quality of public spaces in the new city of Alishahr, only 8 variables have been realized and have a t-value higher than 1.96. Based on field observations, it can be said that the efficiency and variety of activities in different public spaces of the new city of Alishahr is rarely seen, which on the one hand shows the lack of vitality and dynamism of these spaces and on the other hand the lack of continuous presence of people of different ages. Also, the public spaces of the city are not in a good condition in terms of lighting and nightlife, which is due to the lack of natural and unnatural supervision in and around these spaces, as well as the existence of dark and dead spaces around them.

Comprehensive urban plans, as the most important management tool on a city-wide scale, have faced problems in the decades that have passed since their emergence, which have accompanied the achievement of their intended goals and results. Addressing the issue of comprehensive plan evaluation is considered an important tool to measure the success and feasibility of comprehensive plan proposals and will help urban planners to better deal with the problems of preparing and compiling comprehensive plans that have been prepared Become familiar. The purpose of this article is to evaluate the feasibility of the main and effective proposals in the comprehensive plan of Noorabad Mamasani City using the application of the futurology approach. The present study, in terms of applied purpose, has been conducted in terms of exploratory method at the exploratory level and based on the future research approach. In this study, using the Delphi method and the participation of 30 experts, the results were analyzed in the Mick Mac software environment, and then these factors were determined based on the importance and uncertainty, prioritization, and the most vital factors, and to identify the drivers. The key is the software (Micmac) and the script is used for the scripting wizard software. interference of officials, lack of communication with the consultant, unreasonable solutions, lack of attention to local conditions, lack of government assistance, lack of credit assistance, and lack of stable income.

Today, due to the high value of land and the limitation of natural resources in the city of Bowanat, it is very important to predict land use changes in this city.

Research Aime: 

determining the level of ability in modeling the localization phenomena in the city of Bowanat is one of the main goals of the research.

Due to practicality and development in this research, artificial neural networks were used to calibrate the model for effective factors in the city of Bowanat, and ENVI and Arc GIS image processing software were used.

Studied Areas:

 Bowanat city is located 240 km from Shiraz city with an area of 4992.2 square kilometers, which is located at 30.46 degrees north and 53.67 degrees east.

In the design of urban growth modeling in Bowanat between 2003 and 2018 using artificial neural network, it was observed that for two main reasons, the mentioned model is suitable for predicting land use changes in Bowanat city, the first reason being the ability of the CA model and the reason The second is to achieve a model for urban change and expansion by changing urban land use.

After examining the findings, it was found that the road network is one of the most important factors in the growth and expansion of Bowanat city, and in addition, the percentage of land slope is one of the effective parameters in the modeling of Bowanat city.Keywords: Land use, Fuzzy Logic, Artificial neural network, Bavanat city.

 Tourism capacities are considered as special capitals of every country and region, and its introduction, classification and planning are of great importance for the expansion of the tourism industry, and since the 1990s, due to the agricultural stagnation and its subsequent problems in rural communities, experts and planners have They have emphasized the importance of expanding rural tourism. The purpose of this research is to investigate the potential of rural tourism (Gamish Tepe city). In this research, in order to prepare the required information and data, documentary and library surveys and field studies have been used, which first collect statistics and information and studies conducted at the regional level (including: climatic parameters, geomorphology, geology, hydrogeology, human and environmental) and preparing the required maps including: temperature, rainfall, hours, erosion, slope, geology, faults, underground water, surface water, land use, communication lines, protected areas, population centers, with GIS is used and according to the obtained information, the attractions, facilities, services and tourism situation in the region are investigated and then, by using the TOPSIS model, the tourism capacities of Gomish Tepe are ranked and leveled according to the respondents. has taken . According to the research results of Charqoli village with a TOPSIS rank of 612/. It was chosen as a model tourism village of Gomish Tepe sector. 

At areas Urban development, urban space cause Change User Land Agriculture To Residential Commercial And industrial By Is. this Trend Outcomes Bad On The life City Such as increased air pollution, decrease Coverage PLANT And increase At Environment Respectively. so Check changes Urban green space To intended purpose Management Appropriate At areas City necessary To Opinion Reaches. Sensing From far way Can At one Time short Information are you OK And At Case Changes User Land Prepared Makes. Also Can To evaluate Changes Past User Land And To intended purpose management Change That At the future To Occurrence Will Appendix, Case Use Indeed Be. At this research evaluation 4 Vegetation Index PLANT Mining land use within the city In 2002 and 2015 has been discussed. research Present data Satellite Landsat 7 ETM+ ETM At 2002 data Sensor OLI Satellite Landsat 8 Year 2015 164 transition and row number 37 In the range of 51 degrees and 34 minutes and 2 seconds east longitude and 32 degrees north latitude to 51 degrees 34 minutes and 31 seconds and 48 minutes and 36 seconds east longitude and 32 degrees north latitude and 44 minutes and 2 seconds was used. In this study, after geometric correction, atmospheric and radiometric data processing techniques to detect changes in vegetation and it was done. The best approach for each of the periods studied, based on the analysis of the relationship between the number of indicators, remote sensing, and data Barzsay vegetation was removed by GPS. NDVI Index performance results for 2002 and 2015 data confirmed. The results of the index NDVI, SAVI, ARVI And NDGI values of 80.60, 78.10, 76.50 and 76.23 In 2002 had the highest overall accuracy. The results of various indicators in 2015, the NDVI, SAVI, NDGI And A RVI values of 84.70, 80.81, 78.15 and 77.75 had the highest overall accuracy. NDVI indices due to lower MAE and MBE (1/02 = MBE and 8/11 = MAE) in 2002 (0/91 = MBE and 6/18 = MAE) in 2015 with the lowest error and deviation is a relative measure. Results showed that changes in canopy cover between 20-10 percent canopy cover classes with more levels in 2002 compared to 2015, respectively (from 26.42 in 2002 to 21.98 percent in 2015). In contrast, the area classes with high canopy cover of more than 40% during this period has increased from a total of 5.95 per cent in 2002 to 7.67 per cent reached in 2015. At This The research, Analytical methods Components Conventional (CCA) and Decomposition Components Home (PCA) each Date Separate For Monitoring Change Use The Respectively. Assessment Results To Hand Show The higher accuracy CCA2 And the 2015 PCA2 of the CCA1 And that the 2002 PCA1 is higher. The assessment Accuracy Techniques Detection monitoring changes in Isfahan City Limits show The That Difference Image With Accuracy Overall 78.2 and kappa 82.1 percent from the difference map Accuracy Overall 81.4 and kappa 86.4 percent From Is less accurate. Satellite images studied by the method of maximum likelihood supervised classification results cover 33 percent reduction in floor area Green Urban floor show.

The purpose of this study is to prioritize urban neighborhoods with the approach of sustainable development indicators in neighborhoods of Bandar Abbas based on the Analytic Hierarchy Process (AHP). The research method in this research is descriptive-analytical. Library and field methods (questionnaire) have been used to obtain information. In order to prioritize the neighborhoods of Bandar Abbas based on sustainability indicators, a questionnaire of sustainable indicators in social, economic, physical and environmental dimensions was designed. Then, using the opinions of 30 experts, neighborhood prioritization was evaluated using the Analytic Hierarchy Process (AHP). For this purpose, first effective indicators in different dimensions of sustainability (economic, social, physical and environmental) have been identified and in four categories of definition and binary comparison matrix for each factor has been prepared and provided to experts. The results of the studies show that Golshahr, Azadegano Shah Hosseini neighborhoods have more stability in sustainable development indicators and Duhezar, Tohid and Nakhl Nakhoda neighborhoods have less stability than other neighborhoods of the city.

In recent years, the paradigm of urban management intelligence has become one of the key categories in the field research literature. Meanwhile, according to the latest ranking in 2018, none of the cities in Iran are on the list of the top smart cities in the world. For this reason, in this research, the design of an intelligent organization model for Shiraz Municipality is examined to determine its executive and practical solutions and to determine the components affecting intelligence. This study was performed in a descriptive-analytical manner. The required data were estimated from a sample of 384 citizens living in Shiraz, which was collected using a researcher-made questionnaire. Structural equation modeling in software environment (AMOS) was used to achieve the research objectives and test the hypotheses. In the first part, confirmatory factor analysis method was used to evaluate the fit of measurement models and in the second part, path analysis method was used to investigate the structural and significant model of relationships between variables. According to the research results, the smart urban environment has a positive effect (0.56) on smart urban management. In other words, with each unit of change in the smart environment, the variable of smart urban management changes by 0.56 units and in the same direction. Regarding the impact of smart organization on smart urban management, smart organization has a positive effect (0.71) and smart governance has a positive effect (0.73) on smart urban management.

The excessive and incorrect use of existing natural resources requires increasing the evaluation of the components of the resources and examining the changes that have happened in the past. Therefore, detecting and predicting changes is necessary to take care of an ecosystem, especially in areas with rapid and often unplanned changes in developing countries.

The present research method is applied in terms of purpose and descriptive-analytical in terms of method. And using visual and drawing techniques, the images of TM Landsat 5 sensors in 1998, 1992, 1986, ETM+ Landsat 7 in 2010, 2004 and OLI Landsat 8 sensor in 2016 have been used. In addition, the digital maps of the region were used to check the geometric correction of the images and also as auxiliary data in the interpretation of the images and prediction of changes. After confirming the geometric and radiometric quality of the images according to the characteristics of the region, the existing land uses were classified by the method of integrated interpretation of the images of all six time periods into four classes of urban areas, pistachio orchards, barren lands and salt fields using the maximum probability method, And after validation, the average accuracy of Kappa was 83% and the average overall accuracy was 89% for the six land use maps produced.

The land use maps produced from the classification and predicted from the models in 2016, 2010, 2004, 1998 were compared and their accuracy was evaluated using the Kappa index. The results showed that the average kappa accuracy for the neural network model was 76%.

It shows the coordination between the amount and location of actual and predicted changes, and as a result, the relatively good performance of the LCM program in predicting land use changes.

 Governance is in fact a process based on the interaction between the official organizations and institutions of the city administration on the one hand and non-governmental organizations and civil society organizations on the other hand. The optimal urban governance system is based on seven principles: participation, legitimacy, accountability, consensus building, efficiency and effectiveness, transparency and justice.

This research is a survey type with a descriptive-analytical approach with the aim of practical adjustment and information in the field using a researcher-made questionnaire. The statistical population is the citizens of the Ghir city and the sample size is estimated 384 people based on Cochran's formula. One-way ANOVA and one-sample t-test were used for analysis. For this purpose، in this study، we have tried to examine indicators such as participation, responsibility, effectiveness, rule of law، transparency, central justice, consensus orientation and accountability. To measure each of the variables in the questionnaire, a 5-point Likert scale was used.

It shows that the average of all indicators of good governance from the perspective of citizens with a value of 2.66 out of 3 is in an unfavorable situation, which indicates the ineffective method of managers in the urban area and therefore to increase citizen participation in management Is that city officials provide the ground for citizen participation.

Indicates the dissatisfaction of citizens that in this regar, city officials should provide the basis for increasing satisfaction with life in the city by using the opinions of people in the field of management and policies.

The purpose of this study is to investigate and evaluate the sustainability of Bandar Abbas neighborhoods with emphasis on modern urban planning indicators.The purpose of the present study is applied studies and its predominant approach is descriptive-analytical. Library and field methods (questionnaire) have been used to collect data.The statistical population of the study includes 152862 households living in Bandar Abbas. To determine the sample size using Cochran's formula, the sample size of 383 households was selected.Then, different dimensions of sustainable development (economic, social and environmental) were evaluated using the opinions of heads of households in different parts of Bandar Abbas.The results show that among the neighborhoods of Bandar Abbas in terms of social sustainability, Golshahr, Azadegan and Shah Hosseini neighborhoods have the best performance and posht shahr, Soro and duhezar neighborhoods have less social sustainability. Golshahr, Azadegan and Nayband have more stability and Tohid, Chahestani and Behesht Zahra neighborhoods have less economic stability than other neighborhoods. In the study of environmental indicators of sustainable development, Shah Hosseini, derakht e sabz and Golshahrz neighborhoods have the most environmental sustainability. And the neighborhoods of Nayband, Posht Shahr and Soro have the least environmental sustainability

Environmental sustainability assessment is one of the most important tools in the process of sustainable development planning and therefore attention to it in policy-making and planning is inevitable. The purpose of this paper is to evaluate the environmental sustainability in urban areas with the approach of the dust problem using multi-criteria decision-making technique of linear allocation and artificial neural network in Ahvaz metropolis. In this research, first, by studying the theoretical foundations of the research, the criteria that are effective for environmental sustainability were identified. Then, the documentary and library method and referring to different departments and organizations were used to collect information in the theoretical part. However, the main information of the research was collected using field studies (completing questionnaires, observations and field studies). The research process was such that a questionnaire was designed to implement the methodology through the criteria obtained from the study of the problem literature and distributed among the people in 8 regions by stratified random sampling method. The sample size of the total areas was determined based on the unlimited Cochran's formula in the form of population classes of the areas. Keywords: Environmental stability, particulate matter, linear allocation, artificial neural network, Ahvaz