جستجوی مقالات مرتبط با کلیدواژه « geographical information system (GIS) » در نشریات گروه « علوم انسانی »

The increase in the population of cities and along with it the horizontal growth of cities has caused a change in the use of pure agricultural lands as well as neglecting the central and old fabric of cities.Among the approaches raised in criticism of these issues, we can mention the Infill development of the city, which seeks to exploit vacant lands, improve and renovate worn-out structures, and redevelop and use unused land capacities in the city. The main goal of this research is to analyze the potential of Infill development in the 4th region of Urmia. The research in terms of practical purpose and research method in this research is descriptive-analytical. First, by using studies and library and documentary sources, the indicators of intermediate development including 9 main criteria were determined and by using a questionnaire, experts related to the subject who were available, were selected to these indicators and the components were scored and the final weight of the main indicators was obtained through AHP. Therefore, by having the layer related to each index in the Arc GIS software and applying the weighting and layering of the layers, the weighted overlay analyzer has been used to evaluate the development potential of Infill development in the 4th region of Urmia city. The results of the overlay map show that about 10% of the lands in the region have very high potential (very suitable), 24% of the lands in the region have high potential (suitable), 11% of the lands have medium potential, and about 50% of the lands in the region have Low potential for Infill development.

Aerial photos are the basis of many researches, both applied and executive works, related to the earth. Applications of aerial photos, especially for GIS-based analysis, aerial photo georeferencing, and/or geometric correction are essential. Various methods have been proposed for georeferencing. The aim of this study was to achieve a suitable simple method with a low cost and acceptable accuracy. For this purpose, conventional georeferencing methods, including first- to third-order polynominal transformtions, spline transformtion, projective transformtion, and orthorectification transformtion were used in ILWIS3.3 and ArcGIS10.7 for two areas (flat area of Shahrekord and rugged area of Chaleshtor). Errors of the different methods were analyzed based on minimum and maximum errors, Mean of Error (ME), standard division, and Root Mean Square Error (RMSE). The results showed that the errors of the varied methods had fewer changes for the flat compared to the rugged area. Yet, with the increasing relief of land surface, the errors increased sharply and showed a significant difference. Based on the results, the most accurate georeferencing method was orthorectification method (ME=35 and RMSE=38). However, considering the time and data required for the orthorectification method, the most suitable georeferencing method was identified as the spline method, which had acceptable accuracy, but not the problems of the orthorectification method, such as marginal information of the aerial photos and digital elevation models.

Energy is one of the primary human needs to pursue its goals. Traditional energy sources such as fossil fuels are exhausted and cannot be accessed everywhere. They also pollute the environment and cause irreparable damage. Decision-makers and planners should replace traditional energy sources with non-harmful environmental sources. Renewable energy sources such as solar energy, wind energy and Biomass can be a potential alternative to traditional energy sources. Solar energy is converted into electricity using solar panels. but one of the most important things to be considered in this case is finding an optimal location for the deployment of solar panels. Geographical information system (GIS) enables researchers to perform various spatial analyses in a graphical environment and allow appropriate visualization of the results. There are various important factors and criteria that affect the efficiency and cost-effectiveness of solar panels so it is necessary to compare these factors together. Multi-criteria decision-making methods are one of the ways that allow researchers to make a preferential comparison at the same time on different criteria affecting a decision. The best-worst approach is one of the multi-criteria decision-making techniques. B-W is a new and efficient method and can effectively determine the priority of criteria on each other. Also Artificial Neural Network (ANN) capabilities can be used to solve site selection problems because it has been proven that ANN is capable of solving many decision-making problems.

East Azarbaijan province in northwest of Iran which is a mountainous region with no oil and gas reserves was selected as the study. The fuel needed for domestic and industrial uses of the province is supplied by pipelines of oil and gas extending from southern Iran. In this study eight climatic, orographic and economic criteria including GHI, distance from cities, distance from main roads, altitude, slope, slope direction, mean annual precipitation and mean annual sunshine hours were used. The GHI Criterion Layer for East Azerbaijan Province was extracted from the Iran Layer. Height, slope and aspect layers were also produced using the DEM product of ASTER sensor. The layers of sunshine hours and mean precipitation were also interpolated using the values of synoptic stations for the entire province using IDW algorithm. The values for the distance from the cities and the distance from main roads raster layers were also obtained using the Euclidean distance function. Since the defined criteria had different units and nature the criteria values were normalized between 0 and 1 using different functions. The best-worst method was used for weighting the criteria and determining the relative priority of the criteria. After calculating the weight of each criterion, the initial suitability values were obtained by multiplying the criteria by the weight obtained. Then, 751 samples were taken from the whole study area for ANN training. The values of each sample in the criterion layer as “input” and the values obtained by multiplying the layers in their weight as “Target” entered the ANN. Also, according to the laws and regulations, some lands such as rivers and their margins, cities and their suburbs, protected areas and fault lines are places where solar power plants cannot be installed. Hence, in this study, these places were identified as restricted sites.

The BW results showed that the “GHI” criteria and the “distance from city” have the highest weight and the “average precipitation” criterion has the lowest weight. Levenberg–Marquardt algorithm was used to train the network. 75% of the samples were allocated to network training and 15% to testing and 15% to validation. The number of hidden layers was set to 15. After 344 iterations mean squared error value for the network training data reached its optimum. Also, the regression value between the network inputs and the Targets was 1, indicating that the network training was performed best. After the network training was completed, the output values were obtained for the entire study area using the “net(y)” function. The results of ANN showed that 2,622,975 hectares of the province have a suitability of less than 0.5 for solar power plant deployment while only 92075 hectares of land in the province have a suitability rate of over 0.75. To make the results more accurate, the binary constraint layer was applied to the results obtained from the neural network. The results showed that this time the proportion of lands that have suitability of less than 0.5 reached 3,315,093.75 hectares and the proportion of land suitability rate of over 0.75 included only 69762 hectares of land area. This indicates that some of the initially high suitability locations for solar panels were located in areas where it is not reasonably possible to deploy solar power. So relying on the values obtained for "land suitability" without regard to the constraints in the areas may be misleading.

In this study, suitable locations for installation of solar panels were identified using a combination of multi-criteria decision making methods and artificial neural network. The best-worst method that is a novel and efficient MCDM technique was used for weighting the criteria. The results showed that the areas that are located in the proper distance with the cities and the main roads, provided they have a high GHI value, are more suitable for other solar plant deployments. In order to improve the results, constraints including rivers, cities, protected area and fault lines were defined and applied to the land suitability layer. In general, the western regions of the province were more suitable than the eastern regions, due to the proximity of the cities to each other, the high density of the main roads, the suitability of elevation and slope and aspect, as well as the high amount of GHI and sunshine hours and low amount of mean precipitation. Due to the high accuracy of the results, we can say The procedure used in this study can also be used in other mountainous regions of Iran to produce reliable results.KeywordsArtificial Neural Network (ANN), Multi-Criteria Decision Making (MCDM), solar energy, Renewable Energy (RE), Geographical information system (GIS)

ICT has been introduced as the dominating technologies in the new millennium. These technologies have been transformed into tools for productivity, efficiency and growth in human communities through expediting the process of information exchange and they have also provided an easy access to the results of mass accumulation of prodused data. This research which has been conducted using systematic approach and with a descriptive-analytical method and in library manner, as well, is descriptive because information was gathered through information search and it is analytical because after the required information was obtained, it was recapitulated, classified and analyzed and assessed, too. The statistical society included the present local and foreign sources ranging from books, laws and regulations, theses, quarterlies, scientific articles, experts’ views, electronic sources and related websiste, as well. Methods and tools of information collection have been via documentary information note-taking and library studies, as well and the obtained concepts were systematized and analyzed. Cohesion and sustainability of the research are verified in regards to the provided documents and references. In case police is provided with the standard spatial data infrastructures and transformation of CID present data bank (or other specialized police forces) and other agencies, as well, police can then obtain updated crime and delinquency-related data at the fastest possible time and take actions to identify and arrests criminals.

One of the important problems in terms of sports spaces in Iran is not paying attention to locating. The aim of this paper is to investigate the place distribution of sports land uses in Ilam City and to determine proper arenas in order to present a good pattern. The method is analytical-descriptive and the research is an applied one. The data is gathered from the libraries and by the field study and also the questionnaires and GIS maps were used. The population includes the experts of urban management and physical education in all 4 districts of Ilam City that 20 of them were chosen as the sample by Convenience Sampling and were surveyed. To analyze the data, GIS and AHP softwares were used. The findings reveal that the sports spaces are improperly distributed in Ilam City. Moreover, there has been lack of attention to the important norms and standards of sports spaces’ locating in building sports facilities. Furthermore, the views of the experts in the norms of the population density are of high importance in the norms of determining the sports spaces. In this research, 11 hectares of Ilam City’s land pieces were introduced and suggested as the best places proper for building the new sports spaces based on the determined norms and standards. .

 change monitoring is generally used to evaluate natural processes such as the long-term effects of climate change, which is affected by the interaction of the climatic system’s constructive components such as the biosphere, lithosphere, or factors that control the climate changes outside the climatic system, over a long period of time, as well as the short-term processes that include vegetation sequence and geomorphological processes. Change monitoring is also used to evaluate the effects derived from human activities such as deforestation, agriculture and urban development. Remote sensing is a very useful technology, which can be used to obtain information layers from the soil and vegetation. 

Land Cover Product was used to process the MODIS1  Satellite data which is one of the most frequently used products designed relating to MODIS Satellite, and is used annually. This Sensor with 250-500 meter and also 1-kilometer spatial resolution has 36 spectral bands in the range of visible, reflectional infrared and thermal infrared wavelengths, which can well be used for various applications of the surface, the Earth surface, atmosphere and the oceans. MOD12Q1, which is one of the MODIS products, was used to investigate and analyze the profile of the vegetation changes in Mazandaran province using the NDVI and EVI indicators from 2005 to 2017. The related images have been prepared annually with 500-meter resolution and sine coordinate system in the form of a combination of Terra and Aqua data. Given the standards provided by NASA, the changes were investigated using the “decision tree” classification method, and the map for the prediction of its changes was calculated using the Markov Chain Model. The ArcGis software was then used to analyze these changes in order to determine which use of land with what percentage of changes has been allocated to which area.  

In 2005, land-uses associated with dense vegetation dominated an area of 398.77 m2. These land-uses include wasteland, dense vegetation and scattered vegetation. The estimation of the changes occurring in the aforementioned land-uses showed that the maximum changes relating to the low density vegetation with an average of 55.62% are in the northwestern and the eastern parts, and the minimum changes relating to the in dense vegetation with an average of 77.21% are in the central parts of the region, respectively. Furthermore, the observations of the images of the year 2005 show that the use of dense vegetation which has turned into low density vegetation in the image of the year 2017, has had the minimum changes. Finally, considering the prediction of the observed changes, it can be concluded that these changes were more related to the altitude range of 1400 m to 2260 m with the slope coefficients of 15% to 99%. The prediction carried out using the Markov Chain also suggests that the low-density land cover, which was over 864/80 km2 in 2017, will turn into barren lands in proportion to the changes occurringin 2022.  

A major part of the vegetation changes in the area is due tothelack of job opportunities, extra labor attraction and the economic poverty of the inhabitants.In addition,the pressure on the meadow fields hasreached its highest limit by ranchers,which has resulted inthe reduction of grasslands. Eventually, it could be stated that the evaluationmethods and modelsof the vegetation changes have their own featuresand no method on its own is usable andappropriate for all cases, hence,the identification of an appropriate method for evaluating thevegetation changesneeds to be examined quantitatively and qualitativelyin order to provide the best result.

Abstract In the southern part of the protected area with an area of Karkheh about 4822 ha, the area around the city of Shush and the North-Western Province of Khuzestan province is located. This study aim to Evaluation of carrying capacity in ecotourism development in the southern part of the protected area. Therefore, in order to identify after the ecological, social and cultural pressures, in a scale of 1:50000 information to Arc GIS software environment were introduced, to produce maps of the criteria and the rating they were ere. First, to produce maps of weighted criteria, and gradated criteria the following criteria and ecological, social and cultural pressures with model analysis of networking (ANP) and Super Decisions software and with the integration of ecological carrying capacity map and cultural- social carrying capacity map and finally the ecotourism carrying capacity map was prepared. The results showed that the physical carrying capacity with the most appropriate amount in be (2398401 visitors per year) and with the medium amount (12946532 visitors per year) and the cultural- social carrying capacity with the lowest amount in the appropriate potential (33534 visitors per year) and in medium potential (1136499 visitors per year) to you Have assigned. The final map indicates that 32% (14058785 m2) of the region high carrying capacity, 42% (18131157 m2) of the region medium carrying capacity and 26% (11249151 m2) of the region has a low carrying capacity.

Nowadays, energy is considered as one of the basic needs of humans. Given the limited resources of fossil fuels and increased level of energy consumption in today’s world, the remaining sources of energy can no longer be relied upon. Exhaustibility, environmental pollutions, and fluctuations in fossil fuel prices are the major driving forces behind the effective efforts in using various sources of renewable energy. Accordingly, solar energy is a free and one of the most important and cleanest types of renewable energy. Given to the presence of air pollution, numerous vehicles, high population of tourists and pilgrims, and a different urban context with diverse buildings in Mashhad, urban managers are seeking more sustainable development for this metropolitan city; consequently, conducting studies to identify suitable locations for the solar panel installation throughout the city is necessitated. In this regard, the present study seeks to assess the potential of building rooftops for the solar panel installation at a section of zone 2 in district 8 of Mashhad. To this end, first, the effective factors in the production of solar energy were identified; then, the operation and installation conditions were specified according to the present standards. Finally, the locations with the highest potentials were identified.
Photovoltaic systems (PV) are one of the most common applications of new energies. There are a variety of systems with different capacities installed and operated across the world. The significance of using photovoltaic technology is due to the direct conversion of sunlight into electricity with no need for the dynamic and chemical mechanisms. Rooftops are very ideal for PVs since the power supply for photovoltaic cells is the direct sunlight. Moreover, there are considerably fewer factors producing shadow on rooftops where a vast, unused surface is available. In this regard, selecting a proper location as well as incorporating effective criteria and indices for finding a location to install and operate this technology is of considerable importance. The present inquiry is a descriptive-analytical study with applied purposes. Data collection was carried out through library and field studies. Multi-criteria decision-making models including Analytical Hierarchy Process (AHP) and Ordered Weighted Averaging model (OWA) were employed using the ArcGIS 10.3 software for data analysis. The potential for the solar panel installation on building rooftops at a section of zone 2 in district 8 of Mashhad was assessed in the present study. The investigated region had an area of 40 hectares with 923 blocks and a population of 1870 according to 2010 census. Multi-criteria decision-making models including AHP and OWA model were used to analyze the data of building use, building height, population, income over 20 years, tilts and their direction, potential power, shadow producing factors, rooftop area, and the extent of produced electricity in kilowatts. Given the initial cost for the installation of solar panels which should be economically viable, four factors including use, produced kilowatts, potential power, and income over 20 years were assessed. To prioritize and assign weights to criteria, 25 questionnaires were distributed among the experts. Ultimately, AHP was used to specify the final weights of criteria. The obtained weights for indices including use, produced kilowatts, potential power, and income over 20 years were 0.141, 0.483, 0.101, and 0.276, respectively. The Consistency Rate (CR) in this study is 0.8 which demonstrates the consistency of employed judgments for comparison. Then, OWA technique was used to assess each building’s potential for the solar panel installation. To perform OWA, spatial information on use, produced kilowatts, potential power, and income over 20 years were entered in MCDM4ArcMAP tool in ArcGIS software followed by the application of OWA. The results obtained from the OWA model were classified into 5 groups in terms of priority using Jenks’ method (1967) which is based on statistics in map production. Values 1 and 5 were assigned to the unsuitable and most suitable blocks for the solar panel installation, respectively. The results of the study show that of the available area in 923 blocks assessed within the region of study, almost 19000 m3 of the rooftop spaces have the best conditions for the solar panel installation. Given the residential-commercial background and the high electricity consumption of the region, such a worthwhile potential could be considerably effective in the provision and sustainability of producing the required energy of the region. The presented method in this study can be employed by investors and urban planners to assess and evaluate the potential of utilizing solar energy with the beneficial results for active organizations and offices as well as the public. Additionally, the method can also be implemented for all districts within the urban region.

The situation of hospitals, especially in comparison to other urban and street network from one side of and population density on the other hand of urban residents has an important role in the physical and psychological comfort. In addition, hospitals can to determine radius of performance and jurisdiction to determine the optimal location for this function to be effective. This research aims to evaluate the location of the existing hospitals in the city is the best place to deploy them. The research method is descriptive-analytic. To collect the required data from field studies used. For collecting required information and data is used field studies and According to information obtained, To review the study area in terms of access to communication road, green space, away from industrial centers, military, and the fault, as well as for weighting the criteria, is used the AHP model. Then, using a decision model of TOPSIS in GIS software, valuation of criteria in the study area and mapping in accordance with the selection criteria, finally The Intersect map of the standards that represent the best place for construction of the hospital in this range are extracted. The results of integrating layers, Land area suitable for the area for service users – treatment Classified in seven categories which finally lands a great right and good for the construction of health centers were identified. Analytic Hierarchy Process Model AHP with GIS can be used as effective tool in site selection of hospitals.

Population invasion of cities, is due to population growth and immigration from villages to big cities. Population growth means the increase in human need that usually is not coordinated with presented services. This issue occurs a lot of problem; Inequality in accesing urban services, the increase of traffic, air pollution and noise pollution are the examples. Educational centers are one of the most important services in cities. Lack of educational spaces in the cities has increased problem and inapproprate positioning of educational centers, has affected people’s convenience. This paper based on descriptive-analytical study and using library and field studies, attempts to evaluate Positioning of girls highscool in Raht city. In this research nine following data layers have been used in order to evaluate location of high schools in Rasht city; involving distance from main communicational roads, proximity to urban green space, proximity to residential centers, proximity to cultural centers, proximity to religious places, proximity to official centers, proximity to sport centers and proximity to therapeutic centers. Therefore, geographic information system is necessary for a great deal of information analysis. Also, geographic information system(GIS) have a high efficiency in the field of evaluation and locating of high schools.The results seem to show that two(18/18%) high schools are located in quite appropriate areas. Four(45/45) high schools are located in appropriate areas, four(36/36) high schools are located in inappropriate areas and finally one(9/09) high school is located in quiet inappropriate areas. The results are presented as geographic information system (GIS) plans using 1/30000 scaling.

Rural environmental protection are considered, including rural development requirement. One of the most important issues in rural areas, is the perfect place to dispose waste. The main purpose of this research is spatial analysis operation using GIS technology and FAHP techniques in order to locate the optimal range waste disposal of Zarrindasht city. For this purpose, in the first stage, using nine information layers which includes layers of information , distance to fault, distance from the canals, geology, soil type, distance to roads, distance from settlements, altitude, slope and land use was formed. Then, a questionnaire was designed for this purpose, and was prepared by the consultant engineers responsible for Rural Guide Plans, and finally experts of Housing Foundation of Islamic Revolution were completed that, twenty people have answered the questionnaire completely. The results show that the most optimal landfill sites were near roads and most inappropriate places were near the human settlements. The results obtained from FAHP also suggest that the measure of distance from human settlements was dedicated the most weight to themselves by a coefficient 0/232 and measure of the height was dedicated the lowest weight to themselves. The area of 4626-square-kilometer city of Zarrindasht, 3.83 percent was quite suitable, 48/98 percent was suitable, 35/82 percent was fairly suitable, 9/03 percent was unsuitable and 2/33 was completely unsuitable for landfill.

Nowadays banks, credit and financial institutions are trying to increase profits, reduce costs, compete with rivals, attract customers and increase productivity. One of the factors that contributes to the implementation of these strategies is the optimum locations of branches. Locating the new branches of Mehr Eghtesad bank in the region 1 in Tehran city is the aim of this research. Since the focus of service centers such as banks is on maximal or full service to customers, among the all the covering models, Maximal Covering Location model is chosen as the best option to locate the new bank branches. To this end, related literature about locating bank branches, Geographical Information system (GIS) and maximal covering location problem (MCLP) examined. Then, through library Studies and interviewing with managers and experts, the researcher chose effective criteria and sub criteria for locating bank branches. The weights of criteria and sub criteria were determined through filling the questionnaires by managers. GIS used to extract some input data for the model and weighted maximal covering model (MCLM) with partial covering used to choose the best locations. Mathematical programming model formulated with 363 binary variables, 122 constraints, 121 demand areas, 121 potential points, the 1000 m buffer, α = 0.75, b = 50%, θ = 2 and s= 8 & 30 branches (with two different scenarios) and solved with GAMS optimization software. It is clear that by solving the first scenario, eight suitable locations and second scenario thirty suitable locations to open new branches will be generated.

Nowadays, Geographic information systems applications entered in libraries and information centers and some advanced libraries in the world use the benefits of GIS in general to improve the space and resources. The present study aimed to implement a way finding system in order to facilitate the users’ access to the facilities and services in the library of the Agriculture Scientific Information and Documents Center.
It is an applied research, in which the required data were gathered from different sections of the library through the survey-descriptive method and observation technique for the correspondence between real information and the available maps. Data were entered, analyzed and the results were implemented through the Arc GIS software on the maps.
Finding: The illustrated maps had shown that they might be helpful in gaining a better understanding of the users’ access to the library entrance and facilities in order to improve its utility and efficiency. This is a new idea that just started using it in the libraries of the world. Since the study dealing with the network traffic and the amount of time for non-negative ways, Dijkstra’s algorithm was used to Time-Based Way finding. After creating the database, Determine the shortest path was the least time possible

South Khorasan is a less developed region in Iran and due to long distance to the center of the country and being located at the endpoint of energy transmission networks, energy transfer to this province is unstable and expensive. Hence, South Khorasan is a suitable region for the deployment of renewable energy (RE) technologies. Solar energy has a higher priority among other RE-based resources in this province because of the climatic and geographical conditions of this region. In this research, the optimal sites for PV power plants in Birjand County are determined.
First, the set of factors and criteria influencing the site selection of PV power plants was defined. Having prepared and processed spatial data and maps, unsuitable areas were eliminated using Boolean logic model. Remaining areas were rated based on technical, socio-economic, and environmental criteria by means of different fuzzy membership functions. Then, these rated areas were mapped. To identify the optimal sites for the on-grid installations of PVs, fuzzified maps were overlaid by fuzzy gamma operator. Finally, the pixels of the final map were classified into five groups based on their fuzzy values. The results show that 0.5 percent of Birjand County areas are optimal for the establishment of PV power plants.

At the present time, firms especially banks and finance and credit institutions to compete in the business world are seeking for maximal customer covering, reducing costs and increasing profit and efficiency. For this purpose, they are looking for determining and choosing the best location to start economic activity with scientific methods. This study aimed to locate Mehr Eghtesad bank branches in the region 1 in Tehran city, using geographic information system and the weighted maximal covering model. First, through reviewing the literature and interviews with experts the criteria and sub-criteria affecting the location of bank branches were identified. After that, two questionnaires were prepared and distributed between the bank's Managers then the weights of criteria and sub-criteria were determined based on the Best-Worst Method. Geographic Information System was used to determine potential points that are inputs of the weighted maximal covering model. In the end, the weighted maximal covering model was solved in MATLAB and the best locations for opening the new branches were identified.

Given the high importance of housing for human, predictin of locations for temporary housing of the people damaged from the events is inevitable. Meybod city with its historical background and a narrow passage network is placed in a zone with relatively high degree of risk. One of the most important duties of the planners of crisis management part is serious predictions for emergency accommodation, because the affected people with no conventional housing are on the verge of serious physical, mental and psychic serious damages.with respect to the location nature of this subject and fuzzy nature of parameters and facing with a great deal of parameters for decision making, it is possible to use a combination of GIS and Fuzzy logic together with multi criteria decision making methods for making an optimum decision which leads to specifying the promising areas for temporary housing. The required statistics and information were gathered by library and field method and satellite images of the under study area were updated in the map of Meybod city. The aim of this study is the presentation of an effective, flexible, logical and strong method for locating temporary housing by using GIS. In this study, firstly the most effective parameters were selected and by using hierarchical process and Fuzzy logic, the places for temporary housing were obtained. Then, the recommended locations were compared and prioritized and the considered sites were ranked and the best one was specified among the selected options. In AHP method, six places with relative importance of " very appropriate" and total area of 347,071 square meters and six places with relative importance of " appropriate" and total area of384,369 square meters were determined as the best locations for temporary housing. Baharan park and bare lands of the south east of the Governory stadium were selected with relative importance of " very appropriate" in Fuzzy method.

Central part of the old texture of Kerman is important for locating historical monuments and today is facing with many physical problems which create fundamental vulnerability factors against the possible earthquakes. The complexity of physical vulnerability in the historical contexts, in turn makes necessary the study and prediction of critical points during an earthquake using a precision instruments.
In this paper, using the GIS software and weighting method to indicators and overlapping the layers, the physical vulnerability zoning map of the texture is provided. 8 main indicators which were effective in physical vulnerability zoning based on background research and careful observation by expert have been used.
Findings: The northern, central and southern zones of the texture which have more small plots, poor quality of construction, less distance from the Qanats networks and chaotic and narrow road networks, are in higher physical risks. In addition, the high population density in the southern part of the texture has increased its overall risk in this part.
according to the research findings the northern, central and southern parts of the texture as well as northern and southern streets have physical vulnerabilities and require reducing actions such as maintaining continuity of western street performance during the earthquake emergency, organizing open spaces scattered within the texture, increase texture eligibility by using the distinctive elements and controlling the number of floors and closeness and ect, with the aim of reducing the risk of earthquake.