Life cycle thinking and machine learning for urban metabolism assessment and prediction
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-ba...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10451/53253 |
| Country: | Portugal |
| Oai: | oai:repositorio.ul.pt:10451/53253 |