Life cycle thinking and machine learning for urban metabolism assessment and prediction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A94137" target="_blank" >RIV/60460709:41330/22:94137 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2073-4441/14/13/2005" target="_blank" >https://www.mdpi.com/2073-4441/14/13/2005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scs.2022.103754" target="_blank" >10.1016/j.scs.2022.103754</a>

Result language
angličtina
Original language name
Life cycle thinking and machine learning for urban metabolism assessment and prediction
Original language description
The real-world urban systems represent nonlinear, dynamical, and interconnected urban processes that require better management of their complexity. Thereby, we need to understand, measure, and assess the structure and functioning of the urban processes. We propose an innovative and novel evidence based methodology to manage the complexity of urban processes, that can enhance their resilience as part of the concept of smart and regenerative urban metabolism with the overarching intention to better achieve sustainability. We couple Life Cycle Thinking and Machine Learning to measure and assess the metabolic processes of the urban core of Lisbons functional urban area using multidimensional indicators and measures incorporating urban ecosystem services dynamics. We built and trained a multilayer perceptron (MLP) network to identify the metabolic drivers and predict the metabolic changes for the near future (2025). The prediction models performance was validated using the standard deviations of the predi
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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