Neural Networks Modelling of Municipal Real Estate Market Rent Rates
This paper presents the results of research on the application of neural networks modelling of municipal real estate market rent rates. The test procedure was based on selected networks trained on the local real estate market data and transformation of the detected dependencies – through established...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-12-01
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| Series: | Folia Oeconomica Stetinensia |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/foli-2016-0022 |
| _version_ | 1819135574782509056 |
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| author | Muczyński Andrzej Walacik Marek |
| author_facet | Muczyński Andrzej Walacik Marek |
| author_sort | Muczyński Andrzej |
| collection | DOAJ |
| description | This paper presents the results of research on the application of neural networks modelling of municipal real estate market rent rates. The test procedure was based on selected networks trained on the local real estate market data and transformation of the detected dependencies – through established models – to estimate the potential market rent rates of municipal premises. On this basis, the assessment of the adequacy of the actual market rent rates of municipal properties was made. Empirical research was conducted on the local real estate market of the city of Olsztyn in Poland. In order to describe the phenomenon of market rent rates formation an unidirectional three-layer network and a network of radial base was selected. Analyses showed a relatively low degree of convergence of the actual municipal rent rents with potential market rent rates. This degree was strongly varied depending on the type of business ran on the property and its’ social and economic impact. The applied research methodology and the obtained results can be used in order to rationalize municipal property management, including the activation of rental policy. |
| first_indexed | 2024-12-22T10:21:15Z |
| format | Article |
| id | doaj.art-051f61c3a1e340b5a22cc8bf428c33d8 |
| institution | Directory Open Access Journal |
| issn | 1898-0198 |
| language | English |
| last_indexed | 2024-12-22T10:21:15Z |
| publishDate | 2016-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Folia Oeconomica Stetinensia |
| spelling | doaj.art-051f61c3a1e340b5a22cc8bf428c33d82022-12-21T18:29:36ZengSciendoFolia Oeconomica Stetinensia1898-01982016-12-01162172810.1515/foli-2016-0022foli-2016-0022Neural Networks Modelling of Municipal Real Estate Market Rent RatesMuczyński Andrzej0Walacik Marek1University of Warmia and Mazury in Olsztyn, The Faculty of Geodesy, Geospatial and Civil Engineering, Department of Real Estate Resources, Prawocheńskiego Street 15, 10-724 Olsztyn, PolandUniversity of Warmia and Mazury in Olsztyn, The Faculty of Geodesy, Geospatial and Civil Engineering, Department of Land Management and Regional Development, Prawocheńskiego Street 15, 10-724 Olsztyn, PolandThis paper presents the results of research on the application of neural networks modelling of municipal real estate market rent rates. The test procedure was based on selected networks trained on the local real estate market data and transformation of the detected dependencies – through established models – to estimate the potential market rent rates of municipal premises. On this basis, the assessment of the adequacy of the actual market rent rates of municipal properties was made. Empirical research was conducted on the local real estate market of the city of Olsztyn in Poland. In order to describe the phenomenon of market rent rates formation an unidirectional three-layer network and a network of radial base was selected. Analyses showed a relatively low degree of convergence of the actual municipal rent rents with potential market rent rates. This degree was strongly varied depending on the type of business ran on the property and its’ social and economic impact. The applied research methodology and the obtained results can be used in order to rationalize municipal property management, including the activation of rental policy.https://doi.org/10.1515/foli-2016-0022municipal real estate stock managementartificial neural networksproperty rent marketc45r33 |
| spellingShingle | Muczyński Andrzej Walacik Marek Neural Networks Modelling of Municipal Real Estate Market Rent Rates Folia Oeconomica Stetinensia municipal real estate stock management artificial neural networks property rent market c45 r33 |
| title | Neural Networks Modelling of Municipal Real Estate Market Rent Rates |
| title_full | Neural Networks Modelling of Municipal Real Estate Market Rent Rates |
| title_fullStr | Neural Networks Modelling of Municipal Real Estate Market Rent Rates |
| title_full_unstemmed | Neural Networks Modelling of Municipal Real Estate Market Rent Rates |
| title_short | Neural Networks Modelling of Municipal Real Estate Market Rent Rates |
| title_sort | neural networks modelling of municipal real estate market rent rates |
| topic | municipal real estate stock management artificial neural networks property rent market c45 r33 |
| url | https://doi.org/10.1515/foli-2016-0022 |
| work_keys_str_mv | AT muczynskiandrzej neuralnetworksmodellingofmunicipalrealestatemarketrentrates AT walacikmarek neuralnetworksmodellingofmunicipalrealestatemarketrentrates |