Can good microscale pedestrian streetscapes enhance the benefits of macroscale accessible urban form? An automated audit approach using Google street view images

Bon Woo Koo, Subhrajit Guhathakurta, Nisha Botchwey, Aaron Hipp

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

While pedestrian accessibility measures have been widely used interchangeably with walkability, walkability is not just about accessibility. Microscale streetscape factors can provide qualities that pedestrians seek, including safety from crime, traffic safety, and pleasurability. These qualities can encourage walking through direct contributions or by enhancing the benefits of macroscale accessibility measures, or both. This study examines the main and interaction effects of microscale streetscape factors measured from street view images using computer vision in Atlanta, Georgia, USA. The correlation analysis showed that many microscale factors have moderate to strong correlations with the pedestrian accessibility measure. Binary logistic regressions demonstrated that safety from crime, pleasurability, and composite microscale index have direct contributions to walking mode choice. Regarding moderating effects, traffic safety, safety from crime, and composite microscale index enhanced the benefits of pedestrian accessibility measure. Policies designed to encourage walking can focus on streetscape features for short term efforts. Important caveats for policymakers in using machine-driven data collection are discussed.

Original languageEnglish (US)
Article number104816
JournalLandscape and Urban Planning
Volume237
DOIs
StatePublished - Sep 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

  • Accessibility
  • Computer vision
  • Google Street View
  • Interaction effects
  • Streetscapes
  • Walkability

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