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
Inglese
Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11621. Springer, Cham
978-3-030-24301-2
978-3-030-24302-9
Springer Verlag
11621
612
627
16
19th International Conference on Computational Science and Its Applications, ICCSA 2019
Esperti anonimi
1-4/07/2019
San Pietroburgo, Russia
scientifica
Machine learning; Spatial multi-criteria analysis; Urban quality; Walkability assessment;
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Blečić, Ivan; Santos, Alessandra G.; Moura, Ana Clara; Trunfio, Giuseppe A.
273
4
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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