assess the livability of cities based on f'anp method (case study: 15 areas of urmia)

introduction according to available statistics, nearly half of the world population is living in cities and there is expectance of increasing in the coming decades. urban areas are the main centers of economic, social and political growth in every country that have prove itself as the most attractive places to build wealth, work, creativity and innovation. but these areas face with important challenges in the field of areas of physical and environmental destruction, social deprivation, insecurity, unemployment, lack of housing and traffic, that these problems reduce the quality of life and livability. the city as the context of human life has a fundamental role in creation of satisfaction and really lifestyle and determinative the quality of his life. the population increases in migration from surrounding cities and villages and integration of rural areas in city some problems such as lack of facilities and services, disproportionate distribution of population with the capacity of areas, access or lack of access to service land uses, green spaces and leisure times has been founded lack of different alternatives of transport and etc. and it has reduced the quality of life and livability in some urban areas. according to the above, the aim of this study is to assess the livability in the areas of urmia on the basis of affecting factors in determining the livability. to achieve this goal first through different factors, number of 14 indicators based on the existence of information for the city of urmia are chosen so that in the process of implementing the f'anp model number of 9 indicators with respect to the acceptability of meyer and bartlet test and kaiser for measure the livability in urban areas is calculated. materials & methods this research according to its purpose is the kind of applied research and according to method of work has descriptive- analytical nature. collection of information has conducted through library and field studies. in this paper, after studying related references, 14 indicators affecting on the livability of urban areas have chosen and its values have been calculated in spss software. after the calculation of the 14 indicators and achieve the required accuracy (kmo> 0/5 and bartlett's test