A machine learning-based method for the large-scale evaluation of the qualities of the urban environment
2017 · Computers Environment and Urban Systems · 278 citations
https://doi.org/10.1016/j.compenvurbsys.2017.06.003
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Elisabete A. Silva
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Elisabete A. Silva is an academic researcher from University of Cambridge. The author has contributed to research in topics: Urban Transport and Accessibility & Land Use and Ecosystem Services & Urban Design and Spatial Analysis. The author has an h-index of 26, co-authored 111 publications.
ORCID: 0000-0002-5816-6447Papers by this author
worksDelineating urban functional use from points of interest data with neural network embedding: A case study in Greater London
2021 · Computers Environment and Urban Systems · 107 citations
https://doi.org/10.1016/j.compenvurbsys.2021.101651
Comparative Study on Machine Learning for Urban Building Energy Analysis
2015 · Procedia Engineering · 66 citations
https://doi.org/10.1016/j.proeng.2015.08.1070
Simulating the urban growth of a predominantly informal Ghanaian city-region with a cellular automata model: Implications for urban planning and policy
2019 · Applied Geography · 39 citations
https://doi.org/10.1016/j.apgeog.2019.02.011
Towards sustainable urban development: the social acceptability of high-rise buildings in a Ghanaian city
2017 · GeoJournal · 25 citations
https://doi.org/10.1007/s10708-017-9837-0
The road to recovery: Sensing public opinion towards reopening measures with social media data in post-lockdown cities
2022 · Cities · 19 citations
https://doi.org/10.1016/j.cities.2022.104054
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