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.

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

Blečić, Ivan
;
2019-01-01

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.
2019
978-3-030-24301-2
978-3-030-24302-9
Machine learning; Spatial multi-criteria analysis; Urban quality; Walkability assessment;
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/271856
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