The research development of hedonic price model-based real estate appraisal in the era of big data

C Wei, M Fu, L Wang, H Yang, F Tang, Y Xiong - Land, 2022 - mdpi.com
In the era of big data, advances in relevant technologies are profoundly impacting the field of
real estate appraisal. Many scholars regard the integration of big data technology as an …

Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms

A Soltani, M Heydari, F Aghaei, CJ Pettit - Cities, 2022 - Elsevier
Conventional housing price prediction methods rarely consider the spatiotemporal non-
stationary problem in a large data volumes. In this study, four machine learning (ML) models …

Using machine learning models and actual transaction data for predicting real estate prices

PF Pai, WC Wang - Applied Sciences, 2020 - mdpi.com
Real estate price prediction is crucial for the establishment of real estate policies and can
help real estate owners and agents make informative decisions. The aim of this study is to …

Are we ready to assess digital readiness? Exploring digital implications for social progress from the Network Readiness Index

DS Silva, GH Yamashita, MN Cortimiglia… - Technology in …, 2022 - Elsevier
Extant literature has increased our understanding of the multifaceted nature of digital
technologies; nevertheless, scholars and policymakers still strive to understand their …

An innovative GIS-based territorial information tool for the evaluation of corporate properties: An application to the Italian context

M Locurcio, P Morano, F Tajani, F Di Liddo - Sustainability, 2020 - mdpi.com
The financial transmission of the USA's housing price bubble has highlighted the
inadequacy of the valuation methods adopted by the credit institutions, due to their static …

Machine-learning-based prediction of land prices in Seoul, South Korea

J Kim, J Won, H Kim, J Heo - Sustainability, 2021 - mdpi.com
The accurate estimation of real estate value helps the development of real estate policies
that can respond to the complexities and instability of the real estate market. Previously …

From human business to machine learning—methods for automating real estate appraisals and their practical implications

M Stang, B Krämer, C Nagl, W Schäfers - Zeitschrift Für …, 2023 - Springer
Until recently, in most countries, the use of Automated Valuation Models (AVMs) in the
lending process was only allowed for support purposes, and not as the sole value …

Recommendation of Regression Models for Real Estate Price Prediction using Multi-Criteria Decision Making

A Kumar - Journal of Communications Software and Systems, 2023 - hrcak.srce.hr
Sažetak Accurate prediction of real estate prices is an essential task for establishing real
estate policies. Even though various regression models for real estate price prediction have …

Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data

M Taşcılar, KY Arslanlı - Asia-Pacific Journal of Regional Science, 2022 - Springer
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 …

Identifying the key variables affecting condominium real estate appraisal in the context of Al Bireh City, Palestine: a literature and questionnaire-based approach

JAA Numan, IM Yusoff - Journal of Facilities Management, 2024 - emerald.com
Purpose Due to the lack of consensus on influential variables for real estate appraisal, which
varies from one country to another based on the national preferences and customs of each …