Assessing the harms of social security in Mehr housing by way of path analysis (Case study: Pardis new city)

Assessing the harms of social security in Mehr housing by way of path analysis (Case study: Pardis new city)

Niloofarsadat Mirmiran1 Ali Semiari2

1) Master of Urban Planning Student, Urban and Regional Planning, Tehran University of Art, Iran.
2) Graduate of Master of Urban Planning, Department of Urban and Regional Planning, Shahid Beheshti University of Tehran, Iran.

IOI Code : XCAA-EHAHK
Publication : 5th.International Conference on Researches in Science & Engineering & 2nd.International Congress on Civil, Architecture and Urbanism in Asia(5icrsie.com)
Abstract :
    The need for security is one of the basic and natural human needs, the achievement of which is the most important goal of human beings in social life. Today, security is one of the quality characteristics of life in cities and social harms are among the most important consequences of security. In our country, regardless of the failed experience of European and Western countries, the proposal to implement the Mehr housing project with the aim of providing shelter For the low-income groups and the lower deciles of the society, it gave mainly in the areas of Piranshahr. The project faces challenges. The aim of this study is to investigate the social harms of living in Mehr Housing with a disciplinary approach in the residential units of Mehr Housing in the new campus. Normality, cultural conflict, reduction of social capital have a significant relationship. The research method is descriptive, analytical and survey. The questionnaires were randomly selected. Finally, data analysis was performed using Spss software and path analysis or path analysis method, which is a statistical method for applying the standard beta coefficients of multivariate regression in structural models. The research results show that the research components explain 90% of the main research variable. In the resulting model, cultural conflict with a coefficient of importance of 1.478 and social segregation with a coefficient of importance of 1.428 has the highest impact on the main variable of research, namely social harm. Nominal loss and normative vacuum also have the least effect.

Keywords : social harms security housing social security