Predicting building age from urban form at large scale
Bibliographic Data
| ID | 21478848 |
|---|---|
| Authors | Florian Nachtigall (0000-0002-7941-4606, Mercator Research Institute on Global Commons and Climate Change, corresponding author), Nikola Milojevic-Dupont (0000-0001-6641-1978, Mercator Research Institute on Global Commons and Climate Change), Felix Wagner (0000-0002-1601-738X, Mercator Research Institute on Global Commons and Climate Change), Felix Creutzig (0000-0002-5710-3348, Mercator Research Institute on Global Commons and Climate Change) |
| Year | 2023 |
| Volume | 105 |
| Pages | 102010 |
| Publication date | 2023-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2023.102010 |
| OpenAlex | W4385513491 |
| Language | EN |
| Citations received | 5 |
| References cited | 43 |
Cartography · Civil engineering · Climate change · Database · Econometrics · Economics · Geography · Machine learning · Missing data · Regional science · Scalability · Urban planning · Computer Science · Engineering · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Noise Effects and Management
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A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies
Random Forests
Spatial factors influencing building age prediction and implications for urban residential energy modelling
Machine learning for geographically differentiated climate change mitigation in urban areas
Building a global urban science
| Citations per year | 2.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |