How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images

The built environment characteristics associated with walkability range from neighborhood-level urban form factors to street-level urban design factors. However, many existing walkability indices are based on neighborhood-level factors and lack consideration for street-level factors. Arguably, this...

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Bibliographic Details
Published in:Environment and behavior 2022-01, Vol.54 (1), p.211-241
Main Authors: Koo, Bon Woo, Guhathakurta, Subhrajit, Botchwey, Nisha
Format: Article
Language:English
Subjects:
Big Data
Built environment
Computer vision
Correlation analysis
Design factors
Form factors
Modal choice
Neighborhoods
Urban areas
Urban environments
Urban planning
Walking
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Summary:The built environment characteristics associated with walkability range from neighborhood-level urban form factors to street-level urban design factors. However, many existing walkability indices are based on neighborhood-level factors and lack consideration for street-level factors. Arguably, this omission is due to the lack of a scalable way to measure them. This paper uses computer vision to quantify street-level factors from street view images in Atlanta, Georgia, USA. Correlation analysis shows that some streetscape factors are highly correlated with neighborhood-level factors. Binary logistic regressions indicate that the streetscape factors can significantly contribute to explaining walking mode choice and that streetscape factors can have a greater association with walking mode choice than neighborhood-level factors. A potential explanation for the result is that the image-based streetscape factors may perform as proxies for some macroscale factors while representing the pedestrian experience as seen from eye-level.
ISSN:0013-9165
1552-390X
DOI:10.1177/00139165211014609