Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.landurbplan.2023.104901
DC Field | Value | |
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dc.title | Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach | |
dc.contributor.author | Chen, Wangyang | |
dc.contributor.author | Huang, Huiming | |
dc.contributor.author | Liao, Shunyi | |
dc.contributor.author | Gao, Feng | |
dc.contributor.author | Biljecki, Filip | |
dc.date.accessioned | 2023-10-02T00:48:57Z | |
dc.date.available | 2023-10-02T00:48:57Z | |
dc.date.issued | 2024-01 | |
dc.identifier.citation | Chen, Wangyang, Huang, Huiming, Liao, Shunyi, Gao, Feng, Biljecki, Filip (2024-01). Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach. Landscape and Urban Planning 241 : 104901-104901. ScholarBank@NUS Repository. https://doi.org/10.1016/j.landurbplan.2023.104901 | |
dc.identifier.issn | 0169-2046 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/245066 | |
dc.publisher | Elsevier BV | |
dc.source | Elements | |
dc.type | Article | |
dc.date.updated | 2023-10-01T00:56:40Z | |
dc.contributor.department | ARCHITECTURE | |
dc.description.doi | 10.1016/j.landurbplan.2023.104901 | |
dc.description.sourcetitle | Landscape and Urban Planning | |
dc.description.volume | 241 | |
dc.description.page | 104901-104901 | |
dc.published.state | Unpublished | |
Appears in Collections: | Elements Staff Publications |
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File | Description | Size | Format | Access Settings | Version | |
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2024_land_urn.pdf | Accepted version | 39.08 MB | Adobe PDF | OPEN | None | Available on 02-04-2025 |
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