A holistic model of indicators of quality of life in residential environments; In order to macro-regional policies

Because of its multidimensional structure, the quality of life model is complex and ambiguous And it needs to be recognized because of the variety of definitions, dimensions, scales and indicators proposed. Therefore, the purpose of this study is a holistic analysis based on researches in the field of quality of life. Holistic approach of research is qualitative- quantitive and The research method of this study is a documentary content analysis based on quality of life thematic literature. The statistical population of this study is research on quality of life with residential and urban approaches at all levels. The overall statistical focus of the research is on the four areas of definitions, dimensions, scales and indicators proposed in research from about 1900 to 2018. For this purpose, the purposeful sampling with snowball structure is to the theoretical saturation of the data obtained in these four areas. content analysis has been analyzed. The findings are presented as descriptive statistics and analytical statistics. Analytical statistics based on the correlation, regression and shannon entropy tests are presented. Based on the findings, it can be concluded that quality of life indices can be classified into three main objective, subjective and behavioral approaches. It can also be concluded that quality of life is a multidimensional concept derived from the seven physical, social, service, economic, environmental, cultural and personal dimensions. Meanwhile, personal characteristics have the highest appearance and physical indices have the highest frequency and least weight. Although most of the weight is related to personal indicators, the highest upward trend has been related to economic indicators. Finally, based on the obtained results, the holistic model of quality of life indicators with a similar structure to snowflakes is explained.