The aim of this study is to identify and evaluate the indicators of the happy city in affordable housing projects. The Aftab town in Tehran, Iran, has been chosen as a case study. The research method of this study is descriptive analytic. To collect the research data, the field survey method (including the completion of household questionnaires) has been used. T-tests, factor analysis and multivariable regression, were applied in SPSS-22 software for data analysis. The results showed that the status of indicators of a happy city in the Mehr Housing project of Aftab town of Parand is not favourable. Furthermore, the identified indicators of the happy city, respectively, have a priority effect on the happiness of the inhabitants, including the sense of happiness regarding physical and spatial interactions, the local government's support of local residents, the quality of the business environment, the quality of local services, the quality of the artificial and natural environment, the sense of happiness as a result of social and work relationships. According to the results, the most important indicator on the level of happiness for residents in the Mehr housing projects in Parand city is the physical and spatial interactions.
Seyed et al. (Thu,) studied this question.
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