Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S.

Kim, Junghwan; Park, Jinhyung; Lee, Jinhyung; Jang, Kee Moon

doi:10.1016/j.cities.2024.104852

Cities

2024

DOI: 10.1016/j.cities.2024.104852

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Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S.

Junghwan Kim,

Jinhyung Park,

Jinhyung Lee

et al.

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Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S.

Cited by 2 publications

References 34 publications

The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies

The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies

The cost of climate change: A generalized cost function approach for incorporating extreme weather exposure into public transit accessibility

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