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Célio Belmiro

Biographic Data

ID6279804
NAMECélio Belmiro
GIVEN NAMESCélio
FAMILY NAMEBelmiro
SIGNATUREBELMIRO C
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Understanding the land use intensity of residential buildings in Brazil

    Open Access•Célio Belmiro, Raul Da Mota Silveira Neto et al.•ARTICLE•Habitat International•2023•Cited by: 2•References: 55

    The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…

  • Understanding the land use intensity of residential buildings in Brazil

    Open Access•Célio Belmiro, Raul Da Mota Silveira Neto et al.•ARTICLE•Habitat International•2023•Cited by: 2•References: 55

    The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…

  • Understanding the land use intensity of residential buildings in Brazil

    Open Access•Célio Belmiro, Raul Da Mota Silveira Neto et al.•ARTICLE•Habitat International•2023•Cited by: 2•References: 55

    The verticalization of cities impacts the quality of urban life. The empirical investigation of the determinants of the floor-area ratio (FAR) of lots using the traditional econometric approaches, however, has little explanatory power, and research about it using machine learning (ML) is almost nonexistent. This study applies two ensemble machine learning strategies, random forest (RF) and extreme gradient boosting (XGBoost), to investigate the d…

Amenity (1 work) · Computer Science (1 work) · Decision tree (1 work) · Econometrics (1 work) · Economics (1 work) · Empirical research (1 work) · Engineering (1 work) · Ensemble learning (1 work) · Explanatory power (1 work) · Geography (1 work)

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