A Walkability Assessment Method for Urban Streets Based on Multi-source Urban Data and Deep Learning: A Case Study of the Central Urban Area of Beijing

ObjectiveWalking is the most fundamental mode of urban transportation, and building pedestrian-friendly streets holds great significance in urban planning. Yet many metropolises remain auto-oriented and lack high-quality pedestrian environments. Advances in multi-source urban data and deep learning...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Ruijun LIN, Bingyun LIANG, Jun FU
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Beijing Landscape Architecture Journal Periodical Office Co., Ltd. 2026-02-01
Serie:	Fengjing Yuanlin
Soggetti:	urban planning landscape architecture walkability assessment deep learning multi-source urban data urban streets
Accesso online:	http://www.lalavision.com/article/doi/10.3724/j.fjyl.LA20250418
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!