Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data

Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A social network analysis and a community detec...

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Detalhes bibliográficos

Principais autores:	Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of Minnesota Libraries Publishing 2024-02-01
coleção:	Journal of Transport and Land Use
Assuntos:	Commercial and residential spaces; Spatial association; Social network analysis; Community detection; Taxi trajectory data
Acesso em linha:	https://www.jtlu.org/index.php/jtlu/article/view/1800
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