Document Type : Research Paper
Authors
1
Ph.D Student, Faculty of Architecture and Urban Planning, Art University of Isfahan, Isfahan, Iran
2
Assistant professor, Faculty of Architecture and Urban Planning, Art University of Isfahan, Isfahan, Iran
3
Professor, Faculty of Administrative Science and Economics, University of Isfahan, Isfahan, Iran
Abstract
Choosing housing is the most basic need of every household.Therefore,identification and evaluation of effective factors in choosing housing from the viewpoint of the homeowner's households will play an important role in helping urban managers to promote and improve the housing conditions of the people.Accordingly,the present study was conducted to investigate and evaluate the factors affecting the probability of choosing housing with emphasis on the demographic characteristics of homeowning households in Isfahan. The research method is applied in terms of purpose and is descriptive-survey based on the data collection method. Data gathering method, documentary method by studying and investigating previous research, and field method. Data collection was done by designing empirical questionnaire, randomly from 300 households. These data were categorized in the EXCEL software and analyzed using the discrete multinomial logit model (MNL) in STATA software based on Random Utility Theory (RUT). The results of this study, taking into account the Z statistic of the variables, indicated that 11 variables were confirmed related to the properties of the housing, as well as the confirmation of 20 variables demographic variables defined in The model is relevant. The most influential demographic variables include: having children aged 18 and above, the number of home purchases, the reason for settling in Isfahan and the level of social relationships between the individual and his family, respectively,with 41,37,36,33%, the coefficient of positive effect on the probability of choosing in the multiple logit function.The results showed that the socio-economic are important and,in urban housing studies,should be specifically considered
Keywords