Local Development and Gentrification Resulting from the Rehabilitation of Singular Buildings: Analysis of Neural Networks
| Autor: | Alejandro C. Galindo, Juan Uribe-Toril, José Luis Ruiz-Real, José Antonio Torres, Jaime de Pablo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Architectural engineering
Google Street View Artificial neural network Occupancy Property (programming) Computer science urban revitalization Science Competitive learning 05 social sciences 0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology Variation (game tree) Gentrification neural networks 0502 economics and business General Earth and Planetary Sciences Production (economics) singular building 050207 economics Architecture |
| Zdroj: | Remote Sensing Volume 13 Issue 8 Remote Sensing, Vol 13, Iss 1500, p 1500 (2021) riUAL. Repositorio Institucional de la Universidad de Almería Universidad de Almería |
| DOI: | 10.3390/rs13081500 |
| Popis: | The recovery of a built heritage and specifically of singular buildings is a key aspect of local development. The aim of this study was to understand the influence of these regenerations on their environment by transforming adjacent businesses and initiating parallel processes of gentrification and local development. The renewed attraction of these new businesses to the area can result in increased employment and production. The methodology used was based on self-organizing maps of neural networks with matrix architecture and competitive learning. Through the analysis of neural networks, we were able to identify common relationships and behaviors in commercial properties which are adjacent to singular buildings and that share common patterns and characteristics or attributes. The singular buildings analyzed are located along the Spanish Mediterranean coast in the cities of Almería, Barcelona, and Valencia. The results obtained were based on the following hypotheses: occupancy model and the classification based on total occupancy, total variation in occupancy, and the most common types of usage of a given ground floor commercial property. Among the conclusions, we highlight the existence of commercial premises that display anti-cyclical economic behavior and the presence of commercial premises considered to be “unfortunate” or with low potential. |
| Databáze: | OpenAIRE |
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