How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images
| Autor: | Nisha Botchwey, Subhrajit Guhathakurta, Bon Woo Koo |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Urban form
business.industry 05 social sciences Big data 0211 other engineering and technologies Urban design 021107 urban & regional planning 050109 social psychology 02 engineering and technology Transport engineering Geography Walkability Range (statistics) 0501 psychology and cognitive sciences business Built environment General Environmental Science |
| Zdroj: | Environment and Behavior. 54:211-241 |
| ISSN: | 1552-390X 0013-9165 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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