Predicting house prices is a challenging task that many researchers have attempted to
address. As accurate house prices allow better informing parties in the real estate market …

Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …

文章基于多尺度地理加权回归研究北京市2011—2017 年二手住宅交易的价格特征, 结果表明:
① 以往基于经典地理加权回归模型的研究可能存在一定的不稳健, 而多尺度地理加权回归可以 …

Geographically weighted regression (GWR) is a classic and widely used approach to model
spatial non-stationarity. However, the approach makes no precise expressions of its …

While past studies on Airbnb pricing highlight the importance of room features, host
characteristics and location factors, little has been investigated about whether these factors …

The profitability of investing in building energy efficiency is investigated using distinct
approaches. Firstly, a spatial autoregressive model is applied to housing price data in …

The accurate mapping of urban housing prices at a fine scale is essential to policymaking
and urban studies, such as adjusting economic factors and determining reasonable levels of …

Among the different approaches developed to assess ecosystem services (ES), the capacity
matrix is flexible and quick to implement. The matrix is a look-up table that assigns each …

Because of its multifaceted approach and its emphasis on promoting healthy and
sustainable development, smart growth has become one of the popular urban growth …

This study examines spatial variations in the rental price of commercial premises and the
factors that explain these variations in the event of a disruptive change such as the COVID …