<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Records of municipal planning documents directly affect the land use. In this way, the market price of the land is also shaped. Awareness of the economic and social consequences of adapting specific solutions is the primary argument that should condition the local policy in terms of spatial planning. The research results indicate that the network trained with attributes which do not describe a property value by its price was able to estimate it with acceptable and satisfactory results. The possibility to use artificial multilayer networks in spatial policy decision-making seems well founded. The research results show the relevance of the assumption that using them for modeling can be helpful in selecting the most advantageous variant of planning arrangements in a local law document which determines the land use and development, therefore impacts its value.</p></abstract>

Records of municipal planning documents directly affect the land use. In this way, the market price of the land is also shaped. Awareness of the economic and social consequences of adapting specific solutions is the primary argument that should condition the local policy in terms of spatial planning. The research results indicate that the network trained with attributes which do not describe a property value by its price was able to estimate it with acceptable and satisfactory results. The possibility to use artificial multilayer networks in spatial policy decision-making seems well founded. The research results show the relevance of the assumption that using them for modeling can be helpful in selecting the most advantageous variant of planning arrangements in a local law document which determines the land use and development, therefore impacts its value.

The use of urban indicators in forecasting a real estate value with the use of deep neural network

Reports on Geodesy and Geoinformatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Records of municipal planning documents directly affect the land use. In this way, the market price of the land is also shaped. Awareness of the economic and...

The use of urban indicators in forecasting a real estate value with the use of deep neural network

Online veröffentlicht: 31. Dez. 2018

Seitenbereich: 25 - 34

Eingereicht: 27. Aug. 2018

Akzeptiert: 05. Dez. 2018

DOI: https://doi.org/10.2478/rgg-2018-0011

Schlüsselwörter
planning analysis, local zoning plan, local policy, deep learning, deep neural networks, machine learning, artificial intelligence

© 2019 Anna Bazan-Krzywoszanska, Michał Bereta, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The use of urban indicators in forecasting a real estate value with the use of deep neural network

Online veröffentlicht: 31. Dez. 2018

Seitenbereich: 25 - 34

Eingereicht: 27. Aug. 2018

Akzeptiert: 05. Dez. 2018

DOI: https://doi.org/10.2478/rgg-2018-0011

Schlüsselwörterplanning analysis, local zoning plan, local policy, deep learning, deep neural networks, machine learning, artificial intelligence

© 2019 Anna Bazan-Krzywoszanska, Michał Bereta, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
planning analysis, local zoning plan, local policy, deep learning, deep neural networks, machine learning, artificial intelligence