Data di Pubblicazione:
2019
Citazione:
Multi-criteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison / Blecic, I.; Santos, A. G.; Moura, A. C.; Trunfio, G. A.. - 11621:(2019), pp. 612-627. [10.1007/978-3-030-24302-9_44]
Abstract:
This study compares a service-based and environmental evaluation of an urban area with that of its perceived walkability. The Pampulha region in Belo Horizonte, Brazil was first put through a multi-criteria spatial evaluation with respect to a set of spatial data considered relevant for liveability and quality of life in cities, and was subsequently assessed in terms of perceived walkability (using a machine learning procedure of a training set provided by local auditors). The two types of analysis were compared and qualitatively aggregated to obtain a joint spatial score of the urban environment. The findings provide useful insights for planning and urban policy.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Machine learning; Spatial multi-criteria analysis; Urban quality; Walkability assessment
Elenco autori:
Blecic, I.; Santos, A. G.; Moura, A. C.; Trunfio, G. A.
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in: