Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease
Real estate management, including real estate market analysis, is part of a so-called geosystem. In recent years, the popularity of creating various types of systems and automatic solutions in real estate management, including those related to property classification and valuation, has been growing...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Geosciences |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2076-3263/9/3/130 |
| _version_ | 1818932241510694912 |
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| author | Malgorzata Renigier-Bilozor Artur Janowski Marek Walacik |
| author_facet | Malgorzata Renigier-Bilozor Artur Janowski Marek Walacik |
| author_sort | Malgorzata Renigier-Bilozor |
| collection | DOAJ |
| description | Real estate management, including real estate market analysis, is part of a so-called geosystem. In recent years, the popularity of creating various types of systems and automatic solutions in real estate management, including those related to property classification and valuation, has been growing in the world, mainly to reduce the impact of human subjectivity, to increase the scope of analyses and reduce research time. A very important fact that should be underlined is that properties are strongly related to geolocation (space) and strongly determine it. Authors proposed in the paper solutions that highlight implementation of geoscience and “geo-approach” combined with fuzzy logic methods that allow to decrease subjectivity in property analyses and diminish uncertainty in decision making process. The proposed methodology involves three main problematic components of decision support system in property investment analyses development with the use of geo-technologies such as: determination of the database model; elaboration geo-property-zones with geoprocessing activities; identification of homogeneous group of properties transactions. The influence of spatial decision factor determined in the study lead to objective and precise calculation of value differentiation from 22 to 43% depending on the property’s remoteness to the sea. |
| first_indexed | 2024-12-20T04:29:21Z |
| format | Article |
| id | doaj.art-b29ae62e99cb46caa2350caa6f7dbdf6 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-12-20T04:29:21Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-b29ae62e99cb46caa2350caa6f7dbdf62022-12-21T19:53:25ZengMDPI AGGeosciences2076-32632019-03-019313010.3390/geosciences9030130geosciences9030130Geoscience Methods in Real Estate Market Analyses Subjectivity DecreaseMalgorzata Renigier-BilozorArtur Janowski0Marek WalacikFaculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, PolandReal estate management, including real estate market analysis, is part of a so-called geosystem. In recent years, the popularity of creating various types of systems and automatic solutions in real estate management, including those related to property classification and valuation, has been growing in the world, mainly to reduce the impact of human subjectivity, to increase the scope of analyses and reduce research time. A very important fact that should be underlined is that properties are strongly related to geolocation (space) and strongly determine it. Authors proposed in the paper solutions that highlight implementation of geoscience and “geo-approach” combined with fuzzy logic methods that allow to decrease subjectivity in property analyses and diminish uncertainty in decision making process. The proposed methodology involves three main problematic components of decision support system in property investment analyses development with the use of geo-technologies such as: determination of the database model; elaboration geo-property-zones with geoprocessing activities; identification of homogeneous group of properties transactions. The influence of spatial decision factor determined in the study lead to objective and precise calculation of value differentiation from 22 to 43% depending on the property’s remoteness to the sea.http://www.mdpi.com/2076-3263/9/3/130coastal geo-analysisGIS applicationsspatial geoinformaticsgeoreferencingautomated valuation models in property market analysesdecision–making support systems engineering |
| spellingShingle | Malgorzata Renigier-Bilozor Artur Janowski Marek Walacik Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease Geosciences coastal geo-analysis GIS applications spatial geoinformatics georeferencing automated valuation models in property market analyses decision–making support systems engineering |
| title | Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease |
| title_full | Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease |
| title_fullStr | Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease |
| title_full_unstemmed | Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease |
| title_short | Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease |
| title_sort | geoscience methods in real estate market analyses subjectivity decrease |
| topic | coastal geo-analysis GIS applications spatial geoinformatics georeferencing automated valuation models in property market analyses decision–making support systems engineering |
| url | http://www.mdpi.com/2076-3263/9/3/130 |
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