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.
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Acknowledgments
This study was supported by the research grants for the projects: “Healthy Cities and Smart Territories” (2016/17) funded by Fondazione di Sardegna and the Autonomous Region of Sardinia. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Quadro P6000 GPU used for this research. In Brazil, the study was supported by CNPq, Process 401066/2016-9, Edital Universal 01/2016.
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Blečić, I., Santos, A.G., Moura, A.C., Trunfio, G.A. (2019). Multi-criteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_44
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