- Tytuł:
- The use of urban indicators in forecasting a real estate value with the use of deep neural network
- Autorzy:
-
Bazan-Krzywoszańska, A.
Bereta, M. - Powiązania:
- https://bibliotekanauki.pl/articles/106771.pdf
- Data publikacji:
- 2018
- Wydawca:
- Politechnika Warszawska. Wydział Geodezji i Kartografii
- Tematy:
-
planning analysis
local zoning plans
local policy
deep learning
deep neural networks
machine learning
artificial intelligence
analiza planowania
miejscowy plan zagospodarowania przestrzennego
polityka lokalna
głębokie sieci neuronowe
uczenie maszynowe
sztuczna inteligencja - Opis:
- 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.
- Źródło:
-
Reports on Geodesy and Geoinformatics; 2018, 106; 25-34
2391-8365
2391-8152 - Pojawia się w:
- Reports on Geodesy and Geoinformatics
- Dostawca treści:
- Biblioteka Nauki
Artykuł