Abstract
| Original language | English |
|---|---|
| Article number | 105618 |
| Number of pages | 21 |
| Journal | Landscape and Urban Planning |
| Volume | 271 |
| Online published | 6 Mar 2026 |
| DOIs | |
| Publication status | Published - Jul 2026 |
Funding
We are grateful for the constructive and encouraging feedback from the editors and reviewers, which has significantly improved our paper. We thank the participants of the study. This research was conducted at the Future Cities Lab Global at Singapore-ETH Centre. Future Cities Lab Global is supported and funded by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme and ETH Zürich (ETHZ), with additional contributions from the National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore and the Singapore University of Technology and Design (SUTD). This research is part of the project Large-scale 3D Geospatial Data for Urban Analytics, which is supported by the National University of Singapore under the Start Up Grant R-295-000-171-133. This research was supported by the Singapore International Graduate Award (SINGA) scholarship provided by the Agency for Science, Technology, and Research (A*STAR), and the NUS Graduate Research Scholarship (X.L). This work was supported by the Finnish Ministry of Education and Culture’s Pilot for Doctoral Programmes (Pilot project Mathematics of Sensing, Imaging, and Modelling). This work was supported by the Research Council of Finland (Flagship of Advanced Mathematics for Sensing Imaging and Modelling, FAME, grant number 359182). This work was supported by the Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging, and Modelling, FAME, grant number 359182). This work was funded by the GREENTRAVEL project by the European Union (ERC, project 101044906). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Research Keywords
- GeoAI
- Green view index
- Pedestrian greenery
- Street view imagery
- Urban sensing
- Urban visual perception
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