جستجوی مقالات مرتبط با کلیدواژه « gis » در نشریات گروه « عمران »

Among the various air pollutants in Tehran, particulate matter with a diameter of less than 2.5 micron is considered one of the most important air pollutants that is created through fuel combustion and can cause various diseases and increase the mortality of people. Due to the importance of the subject, so far, various researches have been conducted on the effects of PM2.5 pollutants that most of them have only investigated statistical and epidemiological effects. In this study, the aim is to investigate and show the effect of PM2.5 pollutant concentration with the help of ABM, where the effect of pollution on a car as a moving agent and showing the effects of pollution in the form of color change on it was considered. For this purpose, PM2.5 pollutant distribution map for tow days with different pollution intensity was prepared in ArcGIS software environment. For doing this job, the information related to the concentration of pollution on the December 24, 2022 and January 1, 2023 was used and the IDW interpolation method was used to interpolate and prepare the dispersion map. After that, from the obtained data, the concentration of pollution and its integration with the location of the streets and squares of the studied area, the agent's movement environment was created in Netlogo software and the relevant environment was called. By determining the origin and destination, the route and the speed of the car, the model was implemented for two days, December 24, 2022 and January 1, 2023. The results of the model implementation showed that due to the higher intensity of pollution on the Januay 1, the effect of pollution on the agent was much higher than on the December 24. With the implementation of the model on the January 1, the amount of pollution in a short period of time reached above 100, which is an unhealthy range for sensitive groups. According to the AQI index, this level of concentration causes serious breathing problems for the elderly and children.

From a long time ago, natural disasters have been recognized as the most destructive and damaging factor of human societies. Although, many damages, especially loss of lives are not compensable, but preventive actions and proper planning in order to confronting with these disasters can minimized the losses and damages. To do so, it is essential to construct proper places to accommodate affected people in critical situations and also to store emergency goods and items. Relief and rescue centers have important duties, including storage of emergency goods and temporary accommodation for people affected by the disaster. In this paper, Geographic Information System data has been used to solve the location problem of relief and rescue centers by collecting related information layers for each criterion for this purpose. The importance of each criterion is determined by applying AHP method. Based on the results; accessibility to transportation networks with the weight of 0.23 indicates the importance of this criterion for determining the location of the rescue and relief centers. Furthermore, 12 points have been identified as proposed for rescue sites for Tehran eastern regions, these sites are located in regions 4, 7, 8, 11, 12, 15 and 20 of Tehran respectively.

Today, the increase in urbanization and the need to use and travel by private car, the country's metropolises are facing a serious problem in providing the required parking. Therefore, there is still a tendency to build large and possibly multi-storey car parks in places such as city centers, which often lack the space needed to stop vehicles. Car trips are made by car. At its origin and destination, it needs a parking space, and if this need is not planned and provided, cars will inevitably stop on illegal roads and occupy and occupy the surface of the roads that must be used to pass vehicles. They harm the safety and psychological well-being of traffic, as well as the urban environment. In addition to the trans-regional role and lack of a highway network, in addition to passing through the area, Tehran's 7 District welcomes transit traffic from other areas and on the other hand has the highest need for parking among Tehran's districts, compared to the existing transportation. In it, as well as the lack of optimal location of existing parking lots, it is expected that existing parking lots will have the highest efficiency and performance so that the creation of new parking lots will be accompanied by the highest level of productivity. Traffic, urban planning and urban planning are the indicators selected from T. Population, building density, parking area, width-based access, land price, parking supply, parking demand and number of vehicles were analyzed using the Network Analysis Process Model (ANP), which eventually overlapped the map. Finally, different areas were evaluated and formed. Then, using the final map obtained from the research model, during a field visit in the identified areas, they were classified as having a very high, high, medium, low and very low value.

The purpose of this study is to analyze the environmental risks of soil erosion in the runoff of the Shahid Rajaei Dam in Sari based on GIS and remote sensing approach. In this study, soil erodibility was assessed based on the global model of soil loss called RUSLE with rainfall erosion input parameters, soil erodibility, topographic factors: length and slope, land cover management, conservation operations. For this purpose, before producing the results of these factors, first the input data such as DEM, slope, geological layer, land use layer, precipitation, soil and vegetation index was prepared and their spatial distribution pattern in the study area was described and analyzed. In the next step, the potential for flooding and runoff production was measured using the criteria of distance from waterways, drainage density, slope, slope direction, land use, rainfall, geology, soil type. In this regard, while fuzzy the layers, different variables were applied in order to integrate the mentioned layers in the final step on the production of flood potential map and runoff production. After producing the main layers, namely flood potential and runoff production, soil erodibility was studied using Pearson correlation test and regression model of the relationship between these factors and the results were discussed. The results of this study showed that remote sensing and GIS techniques in combination with field measurement values of the studied parameters can have many applications in the field of environmental studies in the field of civil engineering and in modeling and estimating environmental parameters. Be very beneficial bio.

The development of motor vehicle use has reduced irreversible fossil fuels, environmental pollution, and reduced physical mobility, despite significant reductions in travel times, especially over long distances. On the other hand, this saving is not achieved during peak hours, especially at short travel distances. One way to solve this problem, especially in metropolises that face more environmental challenges, is to develop intercity transportation for short distances by bicycle. The purpose of this research is to select the optimal safe bicycle route in District 10 of Mashhad Metropolitan Municipality due to the modernity of the area, high traffic load, and at the same time having the capacity to develop bicycle-based transportation. The research method in this paper is descriptive-analytical and based on Analytic Hierarchy Process (AHP). The method is to collect documentary and field information. Multi-criteria analysis of indicators in this research has been done by expert choice software in digital mapping layers and simulated in GIS environment. The input of this model will be the information and documents examined by the target environment and its output will be maps that show the potential of the area's roads to be used as a safe bicycle route. The findings of this study showed that the safety index of intersections and the type of passages with 27% had the highest impact factor and the index of distance to bus stations with an impact factor of 2% had the lowest coefficient of importance. Therefore, it can be concluded that Shahid Rasti Street and Andisheh Boulevard, after Shahed and Shahed Boulevards intersections, have the greatest potential for safe cycling, respectively.

Considering its key effect on the welfare and health of society, water plays a crucial role in the growth of communities and is one of the most important natural resources. In recent years, the problem of scarcity of water resources has been exacerbated by the growing population worldwide and increased competition for access to water resources, which leads to increased costs of water use. Therefore, the use of this vital resource requires proper management. The present study was entitled Predicting and Modeling the Urban Water Consumption Pattern in Tabriz to Investigate and Analyze the Urban Water Consumption Pattern Using Geographic Information System (GIS).

In recent decades, the complex interaction between environmental factors and public health has attracted the attention of researchers, policy makers, and public health practitioners. Understanding how environmental factors affect human health is very important in dealing with citizens' health challenges. In recent years, geographic information systems (GIS) have been used as practical tools in this field and have enabled the investigation and analysis of complex relationships between environmental variables and health. These systems are a useful tool for zoning diseases, and with the spatial distribution of some diseases, significant results can be achieved. Results such as that some diseases are related to environmental factors. Diagnosing environmental factors in the direction of treatment, prevention and reduction of healthcare costs is a way to develop health. This article deals with the spatial analysis of some environmental factors affecting health in order to provide solutions to prevent the occurrence of pathogenic factors in citizens.

The research method of performing a location analysis includes several steps including data collection, data pre-processing, spatial analysis and integration with decision support systems. Collecting air quality data is one of the main parts of this research. The air quality of Tehran is affected by several factors, including the emission of pollutants by cars, industrial units and natural resources, the amount of each of which is measured using the network of air quality monitoring stations throughout the city of Tehran. This time-spatial data set enables us to investigate trends and changes in air quality in different areas of Tehran. Also, ensuring access to safe water is a fundamental aspect of public health. Therefore, the collection of water quality data is critical for our study. The desired parameters include water acidity or alkalinity (pH), clarity, chemical oxygen demand (COD), biological oxygen demand (BOD) and concentrations of certain pollutants such as heavy metals. Is. The data collected by local health centers have been used to analyze infectious diseases from animals. After collecting the required data, the process of data analysis and processing is done for their spatial analysis, and after the said analysis, the data obtained from different stages of the research are integrated in GIS. This allows us to combine spatial data to more clearly show the connections between environmental factors and diseases. This data integration should be done regularly and carefully so that the results of the analysis are valid. QGIS software was used to perform spatial data analysis and processing. In addition, Pandas and NumPy libraries in Python were used for statistical data analysis.

The data collected from the air quality monitoring stations allowed us to obtain detailed maps of the concentration of pollutants and their spatial changes. These maps are very valuable in monitoring health risks related to air pollution. Analysis of air quality data showed high concentrations of PM2.5 and PM10 particulate matter in densely populated areas. In addition, the concentration of NO2 near the main roads indicates the major contribution of vehicles in the production of this gas. The analysis of water quality in Tehran showed that there are no significant differences in the water quality of different regions. . The analysis of disease data provides important information about carriers, their habitats and behavioral patterns, which leads to a comprehensive understanding of the city's infectious disease ecosystem. Targeted measures to control infectious diseases in high-risk areas and education to the target community are necessary to reduce the risk of diseases.

Human health is affected by various environmental factors, including the place of their lives, so that it can be said that health-related issues almost always have spatial dimensions. Investigating the characteristics of these places (including anthropological characteristics and the presence of environmental risk factors) is very important in order to conduct studies. The results of this research showed that GIS has a valuable role in investigating and tracking the spread of diseases and other health issues in The length of time periods and the assessment of environmental risks for the residents of an area. Using GIS is one of the health warning solutions to people at risk. By specifying the location of the disease and the polluted areas of the city, people will become more aware of their surroundings and better understand prevention issues. Also, with the identification of high-risk areas, health costs and expenses will be adjusted because policy makers and health managers will focus on the necessary strategies to prevent and deal with the spread of these types of diseases in a targeted manner.

Land evaluation is a very important link in the chain that leads to sustainable management of land and soil resources. Exploitation of lands according to their capabilities, in addition to meeting the needs of the present and future generations, also maintains the ecological balance of the earth. Analyzing the suitability of land by using a variety of factors affecting the quantitative and qualitative production of products and examining the intricacies of their relationships with each other, as well as simultaneously with land use analysis, is one of the most useful applications of spatial information systems in agricultural land management. Many methods have been developed since the presentation of the FAO framework for land suitability assessment, and some of them are still widely used. In the present study, the qualitative assessment of land suitability using geographic information system (GIS) and multi-criteria evaluation (MCE) for three strategic crops of wheat, barley and rice was investigated in four study areas in northern Iran.

In order to implement the proposed model, data related to soil characteristics, climate data, topography data, geological map and land cover map were collected. Among the collected data, temperature plays an important role in determining the suitability of land for agricultural products, spatial patterns of rainfall are important for assessing water availability, and the slope of the land has a great impact on drainage, the amount of light received from the sun and, consequently, the required energy. It has plants to grow. Then, according to the climatic diversity in the north of Iran and the diverse set of crops that are grown in this region, appropriate criteria were selected. The selected criteria are: soil type, temperature, precipitation, slope and geological parameters. In order to assign weight to each of the criteria and intensify their effect in the land suitability assessment stage, a weight assignment process was carried out. This weight allocation was done by experts. Each criterion was evaluated based on its effect on the cultivation of different crops in this area and the weight of each layer was determined. Finally, a detailed examination of the results and analysis of suitability of land for agriculture in the studied areas was carried out.

The analysis of the results of the geospatial information system showed that the west of Gilan Province is an ideal place for rice cultivation, but this area has challenges for barley and wheat cultivation. Relatively good scores for all three crops, wheat, barley and rice in the east of Gilan Province showed that this area is prone to growing diverse crops. The center of Mazandaran Province did not get good points for the cultivation of wheat, barley and rice crops. Also, the center of Golestan Province was determined as a very suitable place for wheat and barley cultivation.

In conclusion, the areas with a relatively suitable score provide facilities for diversifying the cultivation methods, which increases flexibility and reduces the risks associated with market fluctuations and climate changes. Also, in areas with a low suitability score, the role of environmental protection and sustainable land management practices is important. From another dimension, the classification of land suitability allows the policy makers and managers of the agricultural sector to allocate resources correctly and optimally. For future research, it is suggested to analyze the time series of satellite data using deep learning models.

In today's world, cities have garnered significant attention as central hubs for social and economic activities. This research aims to enhance urban development and improve the quality of life for Tehran's residents, focusing on land use in Tehran, the capital of Iran and one of the most populous and pressured cities. The primary objective is to evaluate the distribution of various land uses across Tehran and analyze shortcomings that do not align with urban needs and standards. The study particularly delves into issues related to the appropriate number of land uses in different areas of Tehran and the role of recreational land use in urban development.

To conduct this comprehensive research, Tehran was divided into various zones, with diverse land uses thoroughly examined in each zone. These zoning divisions aimed to provide a more precise understanding of the unique needs of each part of the city for development and productivity. The distribution of land uses across the city was analyzed, and the frequency of each land use at the macro level was measured. Utilizing urban standards as evaluation criteria, a detailed analysis of land use distribution was performed. These standards served as benchmarks for assessment, highlighting areas where the standards fell short. This analytical approach facilitated a better understanding of strengths and weaknesses in urban development. Through this method, land use distribution in the city was evaluated more optimally, leading to recommendations for improvement and optimization.

The outcomes of this study underscore significant deficiencies in the allocation of land uses across Tehran, signaling a compelling call for refinement and heightened precision in regulation, particularly within the identified areas of 7, 10, 13, 14, 16, and 17. The identified weaknesses in land use distribution offer invaluable insights for urban decision-makers and planners, serving as a clarion call for immediate interventions in the city's development trajectory. The critical nature of this information lies in its potential to guide strategic decisions and policy implementations aimed at rectifying existing imbalances. Furthermore, the research accentuates a growing imperative to prioritize recreational land use within Tehran, shedding light on the inadequacy of current land use patterns to align with established urban standards and the evolving needs of society. The pressing need for increased attention to recreational spaces emerges as a key takeaway, suggesting that the development of such areas within the city could yield tangible enhancements in residents' overall quality of life. The envisaged benefits extend beyond mere leisure, with the potential to foster the creation of green spaces, promoting environmental sustainability, and providing platforms for diverse recreational activities that contribute to a healthier, more vibrant urban community. In essence, the research outcomes advocate for a strategic reevaluation and recalibration of land use policies in Tehran, with a heightened focus on rectifying existing imbalances and proactively addressing the evolving needs of the city's residents.

This research serves as a valuable tool for urban decision-makers and city planners in the development and enhancement of the quality of life for Tehran's residents. The obtained results indicate that optimizing land use and addressing urban needs can contribute to sustainable development and improved living conditions in Tehran.

One of the most contagious diseases of recent years is Covid 19 disease (Corona), which has spread from Wuhan, China to the rest of the world since late 2019, causing many crises and a profound impact on the world and our daily lives. In most people infected with the disease, it causes respiratory symptoms, the severity of which depends on the person's immune system. The main objectives of this study are to discover the clusters and predict the high risk areas of Covid 19 disease, compare the efficiency of the two proposed methods and determine the effective parameters by city. In this study, Moran index and hot spot analysis index were used to investigate the distribution pattern of disease incidence rates and clusters, respectively, and Pearson correlation coefficient was used to determine effective disease parameters. In this study, statistical data of Covid 19 disease of East Azerbaijan province in the city along with environmental and topographic, health, economic and urban facilities data in the period from February 22, 2020 to November 20, 2020, were collected weekly. According to the results, the incidence of Covid 19 disease during this period has passed two peaks and according to the maps obtained from the two models, in some weeks the GWR model and in some weeks the MLP model was the superior model; also, for the GWR model, the goodness of fit index value is 0.8985 and the normalized root mean square error is 0.0822 and for the MLP model is 0.8226 and 0.1340, respectively, which shows that the GWR method is more appropriate. Sensitivity analysis of different parameters showed that the parameters of the Covid 19 incidence rate of the previous week and wind speed are more important than other modeled parameters in this issue. In this study, effective parameters were extracted separately for each city and a local model was presented that compared to the general state of the model, the local model had better accuracy than the general model of the MLP method.

Survey of spatial distribution of soil elements and the pattern  of  their distribution  in order to identify the characteristics and  capabilities of the land for efficiency and sustainable cultivation  is essential. Geographical information system as an efficient tool make this possibile to produce of reliable data. The purpose of  this study is to investigate the  special distribution  of soil elements in the ajabshir plain. In this regard after receiving  the results of  soil  analysis  in 136 soil samples in  the form of 10 parameters factor and  elements of plants growth by using IDW  algorithm prepared maps of soil elements distribution  in study  area. The results of  PH  as an influential  factor  show  that  the area has  alkaline  soil. On the other hand  potassium (K)  as an essential elements, especially against salinity  stress , which is increasing  due to the decrease in the level of urmia lake in the  region  has a suitable  ration in  agricultural  farms. However , the  electrical  conductivity  is relatively  uniform  in other  parts  of  the lake , except  for  the  northwestern of the area which  shows  the  highest value. This is while the electrical  conductivity  except  for  northwestern  parts  of   the range  on the lake  shore , which shows  the  highest  value . However  the electrical conductivity  is  relatively uniform in other parts of distribution , except for the  northwestern  part of the lake shore, which shows the highest value. Although  the  results  of  the 2000 to  2022 shawl  vegetation  map  extracted using the  NDVI  index  show  a decrease  of  1495.07  hectares  of  cultivated area over  to two  decades, but the amount and  distribution of  elements indicate  the quality  and  fertility of  soil  in  this  area  which  is  exposed  to  environmental  hazards  , especially  the  spread of  saline lands  and  dust  resulting from it.

The aim of the current research is to investigate the impact of intelligentization of urban public transportation fleet on the satisfaction of citizens using the Bus Rapid Transit (BRT) lines of Tehran Municipality. The research method is survey-based and, in terms of purpose, it is applied. The statistical population includes all citizens who use the express bus lines, totaling an average of four hundred thousand people per day. To collect research data, a researcher-made questionnaire with appropriate reliability (Cronbach's alpha ≤ 0.70) was used, consisting of 29 items. In this study, both descriptive and inferential statistical methods were used to analyze the data. Descriptive statistics utilized tables and frequency distribution charts, while inferential statistics were carried out using the SPSS software. Research Findings There is a significant correlation between the intelligentization of bus fleets and citizen satisfaction, with the intensity of this impact being 63%. Moreover, the dimensions of intelligentization (use of GPS, utilization of GIS system, and electronic ticketing) have a positive influence on citizen satisfaction. The dimension with the greatest impact on citizen satisfaction is the use of GPS systems. Furthermore, the levels of satisfaction and the scores of intelligentization among respondents showed no significant differences based on gender, marital status, or any other demographic factors.

Landslide is a geological phenomenon that occurs in the unstable slopes of mountainous areas and in some cases causes very severe human and economic losses.  Research shows that by using the classification of landslide prone areas, possible future damage can be prevented.  The purpose of this study is to produce a landslide sensitivity map for Ardabil province using two machine learning methods ANFIS and SVM and combining them with PSO and GWO metaheuristic algorithms.  For this purpose, first a landslide map of 253 points was prepared.  Among the slip points, 70% were considered for Training and the remaining 30% were used for validation.  Continuing and according to previous studies and available data, fourteen effective factors including height, slope, slope direction,profile curvature and plan curvature of the slope, land use, lithology, rainfall, distance from the road, distance from the river, distance from the fault, road density , river density and fault density were selected.  After preparing the database using MATLAB software, the combined models SVR - PSO , SVR - GWO , ANFIS - GWO and ANFIS - PSO were implemented and then the landslide sensitivity index was obtained for each model.  During the modeling process, the performance of each method was evaluated using the RMSE statistical index.  Finally, landslide sensitivity maps were generated for each model using ArcMap 10.5 software and then the accuracy of each map was estimated using the ROC curve.  The results show that the ANFIS - psd model is more efficient than the other three models. The results of ROC curve obtained by applying ANFIS - PSO  , ANFIS - GWO , SVR - PSO , SVR - GWO were 89.4, 85.7, 88.1, 88.7,respectively.

In smart cities, with using lots of new technologies, while creating appropriate facilities in routine urban life, infrastructure problems are investigated and the necessary measures are taken in a targeted and systematic manner to solve these problems. One of the most important technologies for managing infrastructure in smart cities is IT technology. GPS and smartphone sensors are other technologies that can be widely used in these cities. Streets, roads, and pavements are important infrastructures in any city and the future smart cities. Proper supervision, repair, and improvement of pavements, streets, and urban pathways are the main factor in reducing the cost of depreciation of vehicles and providing comfort and safety for citizens. On the other hand, if timely action is taken to restore and improve the pavement, huge costs of repair and reconstruction will be avoided, and this can significantly reduce the costs of urban management. The first step to achieving this goal is to identify the location of the roughness and distortion of the surface of the streets and urban pathways and the severity of these failures in the shortest possible time. In this paper, road surface roughnesses and failures have been studied using accelerometer sensors and GPS smartphone devices. Location and vertical acceleration data have been entered into GIS software and a quantitative index based on the values of vertical acceleration has been introduced to determine the quality of each section of urban road pavement. In this research, Androsensor software, which is a useful application for using smartphone sensors, has been used. This software is installed on two smartphones, Huawei, P30 Lite, and BlackBerry, Priv STV100. To collect the data, the smartphones were placed in a fixed position on the right and left sides of the car, on the dashboard. The collected data for analysis is transferred to the computer in Excel files. This research has been done in Kerman city and to collect data, different routes with specific failures have been selected. Data collection was performed in 81 pieces with a length of 500 meters and 24 pieces with a length of 200 meters (105 pieces, 45300 meters in total). By analyzing the vertical acceleration data and calculating some proposed indexes and comparing them, the best index has been selected. This index is classified into different ranges according to the field inspection of the pavement condition in the routes in this study, that each of which indicates the quality status of the pavement. Each of these intervals is introduced with a specific color, and by examining the index obtained in each route and the corresponding interval, the studied routes are marked with different colors on the map. Finally, it was found that the accelerometer sensors and GPS of smartphones can be used with low cost, high speed, and appropriate accuracy to check the surface of pavement of urban roads and grading the quality of the pavement. It also seems that in the smart cities of the future, which are based on IT technology, the use of user data, high accuracy in locating, and speed of action in prevention, the proposed method in this research can be used more favorably.

The selection of an optimal and appropriate place for temporary accommodation of people affected by natural disasters, such as flood, has long been of concern to Crisis Management Planners. Failure to properly locate these centers may result in heavy damage. The objective of the present study is to determine appropriate places for establishing temporary post-flood settlement centers in Mazandaran province. In order to achieve this objective, firstly, effective criteria for locating temporary accommodation were determined and the standard maps were prepared and normalized. In the present study, nine criteria for locating temporary accommodation centers have been applied. The Analytic Hierarchy Process (AHP) method has been applied to weigh the criteria by availing experts’ opinions and studying related articles. In the next step, in order to incorporate the criteria according to the weights calculated by the method of AHP, the method Weighted Linear Combination (WLC) was applied and the final map was categorized into four classes of “very appropriate”, “appropriate”, “not appropriate” and “very inappropriate”. In conclusion, the location of temporary post-flood settlement centers with respect to demographic points was considered in the two classes of “very appropriate” and “appropriate” from the previous stage using the P_Median function in the genetic algorithm. The algorithm searches for 15 locations among the candidate points for temporary accommodation. The centers are located in higher populated areas in two classes more desirable than other classes.

Asphalt rural roads provide effective access to villages and as a network they play an important role in the development of these areas. The proper use of these roads as a basic infrastructure, is a very important factor of development. One of the important strategies in operation of these roads is the observation of standards and criteria of the asphalt pavement in terms of its effect on traffic safety. In this study, first, all parameters affecting the safety status of rural roads in terms of compliance with criteria and standards have been studied and then by using hierarchical analysis (AHP) to obtain the opinion of relevant managers and experts of the Ministry of Roads and Urban Development, the weight of asphalt pavement condition has been extracted and then using GIS software capability and also using the capacity of safety experts of all road and urban development departments, all rural asphalt roads in the country with a length of 105,100 km in 1393 have been audited and the results of the analysis were analyzed.

Land subsidence can be counted as a vital concern for human beings due to its harmful effects. The impacts of land subsidence can be seen in several forms, such as cracks in buildings, damage of infrastructures (roads and bridges), tilting and damaged houses, and increases in flooding inundation areas (Gumilar et al., 2015). Overusing of water and soil resources, which can threaten nature and human life, is considered as one of the main reasons for some natural hazards like land subsidence.

It is clear that the functions and structures in a Geographic Information System (GIS) software must be compatible with a business structure. This has led to the emergence of a new subsidiary called Geographic Information Services alongside the main structure of geographic information systems. Using this structure, even without special experience and knowledge in the field of GIS, each individual has the chance to use the capabilities of GIS software analysis. In this research, to access a comprehensive and optimal geographical information structure, the use of distributed computational model has been investigated and proposed. In some ways, due to the recognition of mobile devices, their progress and smartening, a research has been presented regarding the commercial specialization of these services for use in mobile devices.