Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach

Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.landurbplan.2023.104901

DC Field	Value
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dc.published.state	Unpublished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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2024_land_urn.pdf	Accepted version	39.08 MB	Adobe PDF	OPEN	None	Available on 02-04-2025

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