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Multi-criteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison

Chapter
Publication Date:
2019
Short description:
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.
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Machine learning; Spatial multi-criteria analysis; Urban quality; Walkability assessment
List of contributors:
Blecic, I.; Santos, A. G.; Moura, A. C.; Trunfio, G. A.
Authors of the University:
TRUNFIO Giuseppe, Andrea
Handle:
https://iris.uniss.it/handle/11388/238507
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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