The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …

As a major labor-intensive agricultural producer globally, China is facing a rapidly aging
farming population and a persistent exodus of young farmers. There are no clear answers to …

Traditional linear models often struggle to capture regional housing markets' complex, non-
linear dynamics. This study addresses this gap by develo** and applying advanced …

Accurate land valuation is necessary for tax purposes, land resources allocation, real estate
management and urban development and planning. Since various factors from different …

The hedonic price model (HPM) has been widely used to investigate the association
between neighborhoods and housing prices. Empirical studies of HPM assume that mixed …

The valuation of house prices is drawing noteworthy attention due to worldwide financial
and real estate crises in the last decade. Therefore, there is an immediate need to design …

Property valuation research, evolving with Automated Valuation Models (AVMs) using
Artificial Intelligence (AI) and Machine Learning (ML), encounters challenges in handling …

Revealing the effect of transit-oriented development (TOD) on housing rents is critical for
supporting transportation financing and sustainable urban development. However, existing …

The spatiotemporal distribution of crime is closely related to the environment, exhibiting a
typical characteristic of “spatiotemporal autocorrelation”. However, most of the existing …