This paper follows the recent literature on real estate price prediction and proposes to take
advantage of machine learning techniques to better explain which variables are more …

Although abandoned, unused or underused urban open spaces can play an important role
in urban well-being, the traditional approaches of state management and privatization have …

In recent years several complaints about racial discrimination in appraising home values
have been accumulating. For several decades, to estimate the sale price of the residential …

Urban development and regeneration projects produce multidimensional impacts on the
city, on its environmental, economic, and social systems. An aspect that can be considerably …

In the transition and developing countries the use of surplus real property might be a good
response to the acute need for local sources of revenues provided the requirements of the …

Beirut, today, is a giant construction site. Over the past 25 years, the Lebanese metropolis
has experienced a property-led (re) development process that has gone far beyond the …

According to growth poles theory, the areas lacking critical sizes to develop polycentric
structures are restricted to the development of structures of special configuration. In Greece …

In this research we perform hedonic regression model to examine the residential property
price determinants in the city of Boulder in the state of Colorado, USA. The urban housing …

Although scholars have paid increased attention to commons, most studies explore modern
cases, disregarding historical commons. The analysis of the latter can contribute to …

The use of Artificial Intelligence (AI) in the real estate market has been growing in recent
years. In this paper, we propose a new method for property valuation that utilizes self …