A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …

S Sisman, AC Aydinoglu - Land use policy, 2022 - Elsevier
Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …

Automation of negative infrastructural externalities assessment methods to determine the cost of land resources based on the development of a “thin client” model

E Bykowa, M Skachkova, I Raguzin, I Dyachkova… - Sustainability, 2022 - mdpi.com
This article discusses the need to transform real estate valuation methods. It is associated
with the problems of obtaining unreliable results affecting the subsequent adoption of …

A Comprehensive Overview Regarding the Impact of GIS on Property Valuation

G Droj, A Kwartnik-Pruc, L Droj - ISPRS International Journal of Geo …, 2024 - mdpi.com
In the face of pressing global challenges such as climate change, socioeconomic
inequalities, and rapid urbanization, ensuring sustainable development in the regions has …

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 …

[HTML][HTML] Estate price prediction system based on temporal and spatial features and lightweight deep learning model

SM Chiu, YC Chen, C Lee - Applied Intelligence, 2022 - Springer
The development of estate price prediction systems is one of the issues that researchers are
paying the most attention to. A good estate price prediction system can shorten the time it …

[HTML][HTML] Attention-based multi-modal fusion for improved real estate appraisal: a case study in Los Angeles

J Bin, B Gardiner, Z Liu, E Li - Multimedia Tools and Applications, 2019 - Springer
The geographical presentation of a house, which refers to the sightseeing and topography
near the house, is a critical factor to a house buyer. The street map is a type of common data …

[PDF][PDF] Quantifying the Impact of Location Data for Real Estate Appraisal-a GIS-based Deep Learning Approach.

JP Kucklick, J Müller, D Beverungen, O Müller - ECIS, 2021 - scholar.archive.org
Appraising real estate is challenging since a property's characteristics, location, and
neighborhood make up for substantial shares of its price. Current Computer-Assisted Mass …

[HTML][HTML] Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data

C Kmen, G Navratil, I Giannopoulos - ISPRS International Journal of Geo …, 2024 - mdpi.com
Land and real estate have long been regarded as stable investments, with property prices
steadily rising, underscoring the need for accurate predictive models to capture the varying …

A discussion on mass appraisals: Case study on land plots, views of local appraisers and the future in property valuations

T Dimopoulos PhD, V Ioakim - Journal of Property …, 2024 - researchexchange.iaao.org
Mass appraisals constitute a cost effective and efficient way of valuing multiple properties in
a consistent, fair and transparent manner since properties with similar attributes and …

Residential property valuation using a hybrid fuzzy deep learning approach

Z Moradi, MS Mesgari - Scientific-Research Quarterly of Geographical …, 2023 - sepehr.org
Extended Abstract-Introduction: The growing importance of housing is not hidden from
anyone in terms of the profound and significant effects it has on the various social, political …