Multicriteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison

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.

Referências:
BLEČIĆ, Ivan, SANTOS, Alessandra G., MOURA, Ana Clara M., TRUNFIO, Giuseppe A. Multicriteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison. In: Misra S. et al. (Eds),Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11621. Springer, Cham, 2019, p. 612-627.
DOI: 10.1007/978-3-030-24302-9_44

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.

References:
BLEČIĆ, Ivan, SANTOS, Alessandra G., MOURA, Ana Clara M., TRUNFIO, Giuseppe A. Multicriteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison. In: Misra S. et al. (Eds),Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11621. Springer, Cham, 2019, p. 612-627.
DOI: 10.1007/978-3-030-24302-9_44