Energy plays a major role in providing welfare of urban and rural households, and reforming energy consumption patterns, in addition to price balancing, requires recognition and acts of cultural and social variables affecting the pattern of consumption and savings. Considering the importance of saving electricity and its relation with consumer behavior, in this study, the difference in urban and rural communities was investigated in terms of effective factors on energy savings. The present research is descriptive-analytical in terms of purpose and method. The data-gathering tool and information collection and interviews with urban and rural households in Poledokhtar city. The statistical population includes urban and rural households in Poledokhtar Township (N= 30012). Using Cochran formula and simple random sampling method, 379 households (244 urban households and 135 rural households) were selected. In the data analysis section, analysis of variance and logistic regression tests were used. The results showed that there is a significant difference between the factors and indicators affecting power saving in rural and urban areas. The individual agent and the factor of behavior management and purchasing, while the factor is the most important factor in saving households in rural areas, primarily influence power saving in urban areas.

Identity, as a complex concept, influenced by a variety of factors, makes one thing distinct and unique. Meanwhile, the characteristics of the environment, habits, worldview, cultural characteristics, etc., have a growing influence on the formation of these indices of identity. In other words, this study seeks to investigate the hypothesis of the difference in attitudes of inhabitants of the eastern and western parts of Mashhad towards urban identity indices and, finally, whether the distinction is observable or not? The basis of this study is based on quantitative methods that have been used for research purposes, along with qualitative methods. The output of this discussion is to achieve the identity of the city and its classification according to the purpose of the study. But in the small part, the study method is based on the use of differentiation and logistic models to show the type and level of differences between the eastern and western parts of Mashhad. Based on this, the rank of indicators of urban identity components was obtained in the form of a questionnaire in two categories of eastern regions (regions 4, 5 and 6) and western regions (including 1, 9 and 11) from the residents' perspective. The completed questionnaires were entered into the statistical database and analyzed using statistical software such as Excel and Spas. Study shoes that: 1- Regarding the formic index, studies show that variables such as high buildings, traditional architecture and natural form of place are variables that cause segregation of residents of eastern and western parts of Mashhad. 2- The results in Function indices also indicate that variables of vibrant places, places with activities, boarding times, places with different uses, and safe places are meaningful. 3- Finally, regarding the semantic indices, the effective and differentiating variables in the eastern and western regions of Mashhad, including two variables of understanding the sense of pilgrimage and understanding the characteristics of Islamic culture. Accordingly, it can be said that the attitudes of residents of the studied areas are different from those related to the sense of pilgrimage and the characteristics of Islamic culture in their. the end

One of the most important energy sources in the world is solar energy, which is a renewable resource and does not cause any damage to the environment. Which all of these features justify using it as a clean energy source and economically viable cost.. Due to the relatively large area of the Iran in low latitudes and relatively dry climatic conditions, in terms of solar energy utilization it uses excellent conditions. Solar power plants are considered as power generation and transmission networks whose is important that the location features of their construction sites are effective in reducing the risk of investing in solar energy. In this study, using geographic information system and fuzzy valuation method for the criteria and method of weighing (AHP), was considered the potential of the Kavir & desert region and Makran coast for the purpose of obtaining energy from the sun. For this purpose, were used the 14 criteria related to the climatic, infrastructural, and technical and physical conditions of the area. In order to overlap the fuzzy layers were used the usual operators, Gamma, Product and also the Sum Weighted Overlay operator to compare and present the appropriate result. Each of the operators has a different sensitivity to the fuzzy overlap of the layers. For this reason, was considered the Gamma 0.9 operator, due to the high sensitivity for building power plants with high electrical power generation and the Sum Weighted Overlay operator, for the construction of smaller capacity plants. In the overlay map, using the Gamma 0.9 operator, about 2%, and in the overlay map with the weighted operator, about 33% of the study areas were found to be very suitable for the construction of solar power plants.

Transportation and urban transportation policies are one of the most important tools which can be utilized for the qualitative and quantitative development of cities. Various factors can affect urban transportation systems including natural, economic, social, and cultural factors. the main objective of the current study is to evaluate and assess the resiliency of urban transportation networks in Ilam City, which is carried out using a descriptive-analytical and comparative method. The required information for the current study was obtained using library and field studies. The statistical population of the study included experts in urban management and crisis management, among which 40 participants were selected using convenience-based method and questionnaire was distributed among them. The analysis of the data was carried out using analytical hierarchy process (AHP) and integrated digital layers in Expert Choice and ArcGIS software applications. The results indicate that 49 percent of the transportation networks in Ilam City, which have a high level of resiliency based on the general criteria, are in high danger of flooding. Moreover, 72 percent of the traffic congestion points in Ilam City are located on streets with a high level of resiliency based on the general criteria. Among all the urban roads and streets in Ilam City, only 63 km has high levels of resiliency and these are mostly the main streets of Ilam City. The final results of the study show that improving the urban transportation system of Ilam City not only involves the structural issues of the roads, but it also involves a large number of administrative issues. Therefore, first we have to identify dangerous areas and then try to take the necessary measures through appropriate management decision making in order to improve these urban transportation networks.

Recognition and determination of ecological susceptible regions for proper bedding is importance and vital affair for regional planning and specially agriculture part. Climate and topography are main environmental components which altitude and cultivation product generation capability are depend their in every region.  So , studying of effective climate factors and elements on agriculture have special importance. In current study , in order to agriculture ecological homogeneous geographical regions determination ; satellite images of Geographical Information Bases (GIS) were used which they are provider of new horizon and dimensions for effective discovering and fields resources management and we try to show Rapeseed cultivation ecological zoning usage development by combining modern tools , instruments and methods at Ardebil plain region. In order to recognition of mentioned susceptible regions in studied case climate data statistics were used that they include ; temperature degree , precipitation, relative humidity and environmental capability data such as ; inclination, height and multi-criteria decision making based on Analysis of Networks Process(ANP). Then layers were prepared by weighting and according to criteria and they were combined and also layers overlapping were done on GIS environment and ultimate layer of fields proportion was prepared for Rapeseed cultivation. Based on results analysis , studied region fields for Rapeseed cultivation include 33/38% without limitation ; 02/10% of fields with low limitation; 96/33% with medium limitation ; 71/17% of fields with high limitation

According to statistics, about 300,000 disabled people live in Iran. There are about 25,738 disabled people in Ardabil province. This calls for attention to macro-planning for the disabled. This planning involves cognitive and spatial analysis of the status of the disabled people in different parts of the country. The purpose of this study was to analyze more precisely the situation of the spatial dispersion of the disabled and their relationship with different regions of the cities of Ardabil to address further the problems of accessing urban services and creating better living conditions for people with disabilities. In the present study, indicators such as age, gender, the status of residence, type and severity of disability, marital status, education and employment were analyzed using spatial statistics analysis. Also, the geographically weighted regression (GWR) model has been used to measure the relationship between the extent of development and disability. Findings of the research show that there is no relationship between the extent of development and disability in Ardabil province. The number of disabled males is higher than that of the disabled females in all cities. Disabled people in Ardabil province are young and 91.55% of them are illiterate and close to 96.74% of them are facing unemployment problems. In almost all cities of Ardabil province (73.98), there are severe to very severe disabilities and there is no specific order among different cities in the province of Ardabil regarding the type of disability, and various disabilities have been dispersed in the province.

Urbanization and urban growth as a global phenomenon have affected all the countries of the world. Ahvaz city has seen its diverse body tissues throughout its lifeless life. Over time, land use in Ahvaz city has undergone a lot of changes due to the presence of factors and forces that has been unfavorable and has affected agricultural land so much. The main objective of this research is to investigate the physical development of Ahvaz city. This research is applied in terms of nature and descriptive-analytical in terms of methodology. In order to achieve this goal, firstly, the physical expansion in the city of Ahvaz was reviewed in the comprehensive plan approved in 2010, and then 14 indicators were extracted to study the optimal development of Ahvaz city development, which were standardized using Fuzzy Logic (FUZZY) Continued for the optimal model using the ANPDEMATEL combined analysis model. Three levels for the expansion of this city have been identified in combination with OVERLAYFUZZY and GAMA/ 0 in the GIS environment, the output maps were also extracted using the ENVI and ARCGIS software. The results showed that at the level of predictive models of agricultural land with weights of 0.101 and 0.118, the most important factor has been changed in the process of physical expansion of the Ahvaz city. Also, using the map of physical expansion in the year 2010 and the outline map of the level of physical expansion in this study showed that the physical expansion of the Ahvaz city is not consistent with the comprehensive plan approved in 2010.

Given the potential negative environmental impacts linked with wild landfills in the central part of the Kangan Region, there is a significant need to accelerate the development of controlled inter-municipal landfills. The study area with daily production of 92 tons of waste, due to lack of recycling equipment and incorrect locating landfill is faced with numerous environmental, health and social problems in open sites and unsafe. This study is aimed at identifying suitable sites for solid waste disposal by considering all essential factors and rating criteria by integrating Fuzzy-AHP and GIS with multi-criteria decision analysis (MCDA) in Kangan county. Standards for siting a landfill formulated by the Environmental Protection Agency (EPA) were employed in this study. The criteria that are considered herein are land use, slope, elevation, distance to drainage, groundwater and dams, distance to faults, soil, geology, distance to the residence and road, industrial and infrastructure accessibility. These criteria were assigned fuzzy membership classes based on their importance in siting a landfill. The fuzzy members of all criteria were overlaid to generate the final landfill site suitability map which was classified into five: not suitable (53.3%), less suitable (39.1%), moderately suitable (5.4%), suitable (1.4%) and highly suitable (0.6%). The Analytical Hierarchy Process (AHP) technique was employed in the selection of the landfill site with reverence to multiple criteria and the fuzzy membership classes in accordance with the standards of the EPA. The results of this research in the management of the urban environment and also in the plans of the optimal disposal of urban solid of this area will be useful.

Rain water harvesting is an appropriate option for storing surface runoff for subsequent uses during periods with limited access to water. The most important step in the application of rainwater harvesting systems (RWH) is the site selection suitable areas. Therefore, by identifying suitable sites for this purpose, time and cost will be saved . In this research, multivariate regression model and GIS were used to site selection in situ (RWH) in Tajare watershed. For this purpose, layers such as crown cover, litter, rock and stones, soil, curve number, rainfall, slope and depth of field as independent variable and infiltration were considered as the dependent variable. Then, according to the maps, their values were calculated in average for each of the 27 sub-basins. Also, to investigate the relationship between these variables and weighting, each of the effective layers of multi-variable regression was used by the stepwise method The results showed that the linear multivariate regression model with an explanation coefficient of 0.993 was able to estimate the penetration factor values well In terms of grade of importance, the curve number variables with a coefficient of -2.433, depth of soil with a coefficient of 0.3488, and rubble and gravel percent with a coefficient of 0.057, were the most important, and other factors were not significant. Comparison of the map from the site selection of multivariate regression in this research with some recommended criteria of various research studies showed that the predicted classes with good in the central parts of the basin and very good in the upstream areas of the basin which in the eastern and southeastern part of the basin fit have a good overlap with the recommended areas with these criteria.

The performance of broiler chickens is directly influenced by temperature changes and the occurrence of heat stress, whether it is cold or hot. The present study aims to assess the cooling and heating degree days in different stages of broiler chicken production in Khorasan Razavi province. To achieve this objective, daily average temperature data were collected from 13 synoptic stations during the statistical period of 1988-2018. Cooling and heating degree days were calculated for each week of production using specific thresholds, and their spatial distribution was analyzed. Furthermore, the relationship between cooling and heating degree days and geographical features was evaluated. The findings indicate a decrease in cooling degree days and an increase in heating degree days as latitude increases. The northern and western regions of the province exhibited a greater need for heating throughout all stages of broiler chicken production, whereas the eastern and southern regions had higher cooling requirements at different production stages. Overall, the northeastern, southern, and western marginal areas of the province, including Khaf, Gonabad, Kashmar, Sarakhs, and Sabzevar, exhibited the lowest cooling and heating needs during the 6-week period of broiler chicken production, making them suitable climates for this economic activity.

The purpose of this study was to investigate the factors affecting the increase in attractiveness of tourism purposes in Tehran. The present research is descriptive-analytical in terms of purpose and method. The data collection tool is a question and interview. The statistical population of the study includes experts and experts in the field of tourism, which was selected using Cochran formula and simple random sampling method, 210 tourism experts were selected as samples. Descriptive tests and logistic regression test were used to analyze the data. The results of this study indicate that from 210 active in Tourism in Tehran, 91 people believed in 43.3%, with attractiveness of tourist destinations in Tehran at high level, 29% believed that the level of charm at the appropriate level and only 27% He believed that the attractiveness of tourist destinations in Tehran is at a low level. The results in the field of effective factors on increasing the attractiveness of intentions due to tourism development also showed that among the four factors intended, respectively, factors of 1) innovative business opportunities with impact coefficients (613/0), 2) assets Natural / cultural and historical city with a coefficient of impact (0.577), 3) Development of tourism infrastructure with an impact coefficient (0.497) and 4) urban development agent with an impact coefficient (0.473) had the most effects on increasing attractiveness Due to tourism development in Tehran.