Real estate needs to improve its adoption of disruptive technologies to move from traditional
to smart real estate (SRE). This study reviews the adoption of disruptive technologies in real …

Big data is the concept of enormous amounts of data being generated daily in different fields
due to the increased use of technology and internet sources. Despite the various …

In real estate, there are various variables for the forecasting of future land prices, in addition
to the macro and micro perspectives used in the current research. Examples of such …

The stability of municipal revenues is crucial for long-term socio-economic planning at the
city level. This paper presents the impact of changes in legal regulations mandating the …

With the emergence of Property Technology, online listing data have drawn increasing
interest in the field of real estate–related big data research. Scraped from the online …

Real estate represents a major share of economic activities and wealth in all economies.
Due to the lack of widely acknowledged standards, however, the structuring, providing and …

Big data transform all kinds of businesses, including property management. Although the
application of big data has great potential, it also presents challenges. The purpose of this …

Urban systems' dynamics are the result of two intertwined processes that operate at different
rhythms: their physical structure and underlying social processes. This paper suggests a …

Dependence of the real estate sector on human activity has been unveiled during the
COVID-19 pandemic. In addition, it is assumed that trends emitted from the location-based …

Names: Winson-Geideman, Kimberly, author. Title: Real estate analysis in the information
age: techniques for big data and statistical modeling/Kimberly Winson-Geideman [and three …