Results 11 to 20 of about 22,488,963 (312)

The Application of the Simplified Speculative Frame Method for Monitoring the Development of the Housing Market

open access: yesReal Estate Management and Valuation, 2022
This article contributes to research into price dynamics on the real estate market. It proposes a simplified index-based speculative frame method for measuring above-average increases and decreases in real estate prices and monitoring market performance.
Brzezicka Justyna
doaj   +1 more source

Predicting Housing Price Trends in Poland: Online Social Engagement - Google Trends

open access: yesReal Estate Management and Valuation, 2023
Various research methods can be used to collect housing market data and predict housing prices. The online search activity of Internet users is a novel and highly interesting measure of social behavior.
Bełej Mirosław
doaj   +1 more source

Methodology for Determining the Nearest Destinations for the Evacuation of People and Equipment from a Disaster Area to a Safe Area

open access: yesRemote Sensing, 2021
Floods are the most frequent natural disasters in the world. In the system of warning and flood protection of areas at risk of flooding in the event of its occurrence, it seems advisable to initially work out the possibility of evacuating the population,
Volodymyr Korolov   +5 more
doaj   +1 more source

Interpretable Machine Learning for Real Estate Market Analysis

open access: yesSSRN Electronic Journal, 2021
AbstractMachine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out‐of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML).
Felix Lorenz   +3 more
openaire   +2 more sources

Today's Market Needs Modernized Property Appraisers

open access: yesReal Estate Management and Valuation, 2020
The article identifies and provides a synthetic overview of various concepts relating to the evolution of the real estate market and property valuation.
Źróbek Sabina   +2 more
doaj   +1 more source

Points of Interest and Housing Prices

open access: yesReal Estate Management and Valuation, 2023
Points of Interest (POI) are an inherent element of the urban landscape, and their number and density reflect, among other things, the degree of urbanization and the city’s spatial structure.
Cellmer Radosław
doaj   +1 more source

Local Amenities – Spatial Modelling of Market Potential Based on Open Data

open access: yesReal Estate Management and Valuation, 2023
This paper presents the concept and methodology for assessing the market potential of local convenience shops in spatial terms. The methods concerned are based on spatial analyses using information derived from open data concerning local population ...
Cellmer Radosław
doaj   +1 more source

3D optical illusion as visualisation tools in spatial planning and development

open access: yesScientific Reports, 2022
Spatial planning and development use various visualisation methods. Technological advancements in visualisation techniques have allowed imaging to shift from 2 to 3D dimensions. 3D optical illusion, which converts information recorded in the digital form
Rafał Kaźmierczak   +1 more
doaj   +1 more source

Artificial intelligence in real estate market analysis [PDF]

open access: yesAIP Conference Proceedings, 2021
Real estate has always been an important investment opportunity. With a diverse set of financial instruments linked to real estate assets, it is significant for both investors and intermediaries. In this paper we assess how artificial intelligence can be used to improve our understanding for the real estate market changes.
Stanimir Kabaivanov, Veneta Markovska
openaire   +1 more source

Postopek modeliranja v okviru množičnega vrednotenja nepremičnin (= Modeling procedure within the mass valuation of real estate in Slovenia)

open access: yesGeodetski Vestnik, 2022
The mass valuation of real estate in Slovenia is based on valuation models, which are made based on realised real estate market data and illustrate the functioning of the real estate market.
Melita Ulbl, Andrej Glavica
doaj   +1 more source

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