Abstract
Hedonic price model was developed to quantify the influence of structural, accessibility and environmental attributes on the price of housing in the city of Prague. We have considered the size of flat as structural variable, the distance from the dwelling to the city center and to the nearest tube station as accessibility variables, and the proximity to the nearest urban forest as environmental variable.
We have developed several regression models and tested their robustness in terms of the significance of parameters and the amount of variability explained. The sample is made up of 1,708 observations gathered from the city of Prague.
Results show the size of flat is the most relevant variable explaining the price of housing. We have found also a significant inverse relationship between the selling price and its distance from a city center and urban forests.