GeoAI and Multimodal Geospatial Data Fusion for Inclusive Urban Mobility: Methods, Applications, and Future Directions

Urban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality increasingly reveal mobility patterns as expressions of deeper social and spatial structures. Inclusive urban mobility examines whether transport systems equitably suppor...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Atakilti Kiros, Yuri Ribakov, Israel Klein, Achituv Cohen
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-04-01
Sarja:	Urban Science
Aiheet:	GeoAI multimodal data fusion urban mobility spatial equity explainable AI participatory analytics
Linkit:	https://www.mdpi.com/2413-8851/10/4/193
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