Abstract
Housing composite commodity as a one of the most important property of households, has been interesting for researchers and planners in last years. Hedonic pricing, estimating the value of housing characteristics through the use of transactions data. For this purpose, the main aim of this paper is to evaluate the factors affect housing prices in the Niyavaran region of Tehran, Iran. Nowadays, the housing planning tries to meet the needs of users, which this subject is one of the important factors in sustainable housing scheduling. To achieve this objective, first of all the variables influence the housing price have been determined and then, data was collected via the survey and was analyzed, using the Hedonic price model. The empirical results of this paper showed that variables: the building age, number of rooms, house view side, Interior decoration, lighting and distance to school are significant and positive and Parking, education and road traffic were significant and negative in this study. By applying these results in urban projects eventually can lead to the better life quality and sustainability in urban life.
Mojtaba Valibeigi