Explanation the Factors Affecting the Livability of Rural SettlementsThe Case Study of Rural Settlements of Ilam Township

The truth of livability considering that it refers to the degree of providing the necessities of a society based on the needs and capacity of the people of that society for the growth and development of rural settlements, or in other words, livability promotes quality of life and development of the concepts of the quality of people's living environment so that it provided the best ways of life for them. The present study was conducted to identify and explain the factors affecting the livability of rural settlements using the method of exploratory and confirmatory factor analysis and correlation coefficient as a survey method. In this research, 6543 heads of rural households in the city of Ilam were surveyed to identify and explain factors contributing to rural settlements' livability. Using Cochran's formula, the sample size was estimated to be 363 people, and the sample was selected randomly and the quota sampling method. In this study, a questionnaire was exerted, experts confirmed content validity, and reliability was verified by a pre-test and Cronbach's alpha of 0.864 percent.The results show that the social dimension with a correlation coefficient of 780/. and the explanation coefficient of 66.73%, the economic dimension with a correlation coefficient of 0.593 and the explanation coefficient of 73.66%, the physical dimension with a correlation coefficient of 587. and the explanatory factor of 68.12% and the environmental dimension with a correlation coefficient of 0.585 and an explanatory factor of 23.23% affect the livability of rural settlements in Ilam Township. The results also show that the most important factors affecting livability in the social dimension are working groups with 0.782, in the economic dimension the existence of savings and the appropriateness of living expenses in the village with 0.897 and 0.854, in the physical dimension access to service uses at the regional level with 821. 0 and in the environmental aspect, the lack of houses in the flood path is 0.794.