Keywords: Sustainability, Framework, Data Analysis, Data Modeling, Human-Centred Design
TL;DR: Automatically analyze urban data for more sustainable cities producing understandable and usable results
Abstract: Assessing sustainability in the urban environment is a complex task, mainly due to the amount of heterogeneous data and variables, the presence of context-dependent measures, and the absence, in this domain, of recognized techniques for assessing the quality of the data and of the proposed interventions. Furthermore, expert knowledge is often overlooked in automated analysis. This paper presents the advancements of the doctoral project "INTERPRET: an integrated and adaptive framework to support policy-makers in the urban environment," whose purpose is to define a framework for ascertaining sustainability in cities. Specifically, the paper presents an overview of the preliminary results obtained, focusing on the chosen approaches and defined methodologies rather than the experiments.
Submission Number: 27
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