Urban design that the first was paying attention to the aesthetic dimension,now pays to the quality of the public territory in terms of physical social cultural and creating places for people using.the public territory is a temporary territory and everyone has access to and has the right to use it.tendency to have a territory and defend of  it, is intrinsic.since now women like men are present in society but they do not have enough power to choose their territory so this research is trying to introduce the effective items to creating ideal territory.the data of this study is descriptive-analytical/survey.type of study is quantitative and qualitative. The study is field and library based.the statistical population includes women with different cultures ages behaviors in ealgoli park,women's shams park,valiasr park of Tabriz that the woman were randomly selected.the sample size is 384 and it based on the Cochran formula. At first at the descriptive level were investigated with subject statistics indicators and then at the inferential level used of exploratory factor analysis to determine the model.the results include 5 influential components.these components are landscape-functional-security-morphology-psychological.

Housing is a crucial domain for testing human interactions and serves as a physical framework where social, cultural, and economic resources intertwine. In order to achieve social progress, the realm of housing encompasses not only the residential units themselves but also their surrounding environments. The focus on housing quality indicators is essential for attaining sustainable housing, which in turn lays the foundation for sustainable urban development. However, the increasing demand for housing and the prevailing quantitative approach have led to the neglect of the fundamental issue of housing quality in its true essence. Insufficient access to suitable housing can contribute to or worsen various psychological and social challenges. Hence, this research aims to identify the main indicators and components of housing quality and prioritize them, assuming equal weighting of their influence. The research methodology employed in this study is practical in its objective and descriptive-analytical in its approach. To achieve the intended objective, the Analytic Network Process (ANP) model is utilized to determine the weight and prioritize each indicator and component of housing quality. Subsequently, after evaluating the indicators using the ANP model, the results indicate that among the examined indicators, housing facilities and amenities with  0.318, housing security with 0.218, housing comfort with 0.145, compatibility with complementary uses with 0.142, housing durability with 0.109, and housing climate adaptation with 0.065 have been assigned the highest weights, respectively.