جستجوی مقالات مرتبط با کلیدواژه "the city of yazd" در نشریات گروه "جغرافیا"

In this study, a statistical approach was used to identify the problems of Mehr housing project in the city of Yazd. The data were collected in the form of documents (e.g. articles, books, magazines, and web sites on the Internet) and through field work (i.e. questionnaire, interview and observation). The main variables of the research were a set of 46 items extracted according to the statistical principles and the data. The study sample consisted of 150 experts who were familiar with the conditions of Mehr housing. The data were analyzed through factor analysis with the SPSS and Excel software programs. According to the data, the variables were prioritized in five stages as fllows: the first stage with the variable of lack of coordination among the excavation and building foundation projects based on the area profile with the load factor of 0/884, the second stage with the variable of per capita religious inappropriate spaces with the load factor of 0/837, the third stage with the variable of undesirable internal architectural patterns with the load factor of 0/0767, the fourth stage with the variable of designing structures not on the basis of modern systems with the load factor of 0/862, and the fifth stage with the variable of incompatible residential unit area with the load factor of 0/757.

Today, many urban problems, more show the need for sustainable urban development. But in order to overcome these problems, it is necessary to measure differences in the level of development of the sustainable development and improvement of the proposed solutions. This study aimed to measure sustainable development in urban neighborhoods with Fuzzy Logic and GIS have been done thus, the analytical method of the study is descriptive and analytical. Because fuzzy logic in GIS has potential for sustainability assessment of complex systems such as cities, So twenty-four indicators were selected for assessing the sustainability of the urban neighborhoods(district) in the city of Yazd, with using fuzzy logic in GIS have been studied. The results indicate that the stability of the central neighborhoods of the city and region 2 is better urban fringes neighborhoods in terms of indicators that studied, the situation is less stable and urban fringes neighborhoods, particularly the south, east and north of city are in the situation unstable.

This study aims at the change of the land usage around the city of Yazd from 1994 to 2013 and the prediction of these changes until 2020. To this end, multi-temporal Landsat satellite images taken in three years of 1999,2006 and 2013 were studied and analyzed. The corresponding classified images were used to detect and characterize changes from a cross-tab. In order to predict the changes during these years and in future until 2020, two different models including CA-Markov and LCM were used. The results of this study showed that during these intended 14 years, the CA-Markov model could present a land use map with a 70% accuracy, and the final map for 2020 displayed the maximum usage of the land for residential purposes at the rate of 51.11%. On the other side Wasteland may decrease around 29%. The accuracy of the LCM model for the prediction of the land use map was estimated to be around 83%, and the final plan for 2020 exhibited a 68% increase of residential land and a 24.8% decrease of wasteland. However, the results demonstrated a better accuracy for the LCM model as compared to CA-Markov, which is the consequence of the use of independent variables as the input parameters in the LCM model. In general, it can be concluded that both models have almost the same accuracy and they are powerful methods for predicting the development of the city of Yazd in the intended period until 2020. Finally, the physical development of Yazd to the suburbs through the west, west-south and south regions is expected. This expansión tends toward the neighboring towns like Hamidia and Shahedieh.

In the International Leaders Gathering (2003) which was held in line with the Global Information Society, special attention was paid to electronic cities as a part of the information society. Electronic cities provide the required software, hardware and groundwork for the citizens to access the databases of public services and private sector on the web, throughout every moment of days and nights. During the last decade in Iran, efforts have been made for creating electronic cities, including the attempts for creation of Kish, Mashhad and Shiraz electronic cities; however, unfortunately due to various reasons, these cities are not developed in an appropriate manner. Success of such attempts depends largely on the rate of application by the target users (citizens). Notwithstanding the fact that governments present a relatively good level of clarity as well as an appropriate range of innovative methods of serving, nevertheless some people remain suspicious toward using information technology in communicating with the government, municipality or the private sector, so that, especially in Iran, utilization of the electronic city services depends heavily on the amount of trust of users. Therefore, the aim of the present research is to determine the factors which can increase the trust of citizens in electronic city services. The research method here has been of survey type, and it is a kind of applied study in which such techniques as questionnaire, library documents and references as well as multiple regression were utilized in order to formulate and test the hypotheses. Findings of the research indicate that such components as the citizen's higher perception of the technology and of the reliability of the organization, quality of audio and video communications, ease of use, efficacy of electronic services, years of experience in internet usage, public desire to trust, trust in government and in internet and online purchasing, directly increase the confidence in electronic cities. On the other hand, such factors as age and concerns of people about violation of their privacy have negative impact on the trust.