Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Can good microscale pedestrian streetscapes enhance the benefits of macroscale accessible urban form? An automated audit approach using Google street view images
Highlights Microscale streetscape factors related to safety from traffic and crime and pleasurability are measured using street view images. Many microscale factors have moderate to strong correlations with a pedestrian accessibility measure. Safety from crime, pleasurability, and composite microscale index are positively associated with higher odds of walking. Traffic safety, safety from crime, and composite microscale index positively moderate the effects of a pedestrian accessibility measure.
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.
Can good microscale pedestrian streetscapes enhance the benefits of macroscale accessible urban form? An automated audit approach using Google street view images
Highlights Microscale streetscape factors related to safety from traffic and crime and pleasurability are measured using street view images. Many microscale factors have moderate to strong correlations with a pedestrian accessibility measure. Safety from crime, pleasurability, and composite microscale index are positively associated with higher odds of walking. Traffic safety, safety from crime, and composite microscale index positively moderate the effects of a pedestrian accessibility measure.
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.
Can good microscale pedestrian streetscapes enhance the benefits of macroscale accessible urban form? An automated audit approach using Google street view images
Koo, Bon Woo (Autor:in) / Guhathakurta, Subhrajit (Autor:in) / Botchwey, Nisha (Autor:in) / Hipp, Aaron (Autor:in)
21.05.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Pedestrian malls, streetscapes, and urban spaces
| TIBKAT | 1992
Pedestrian Malls, Streetscapes, and Urban Spaces
| Online Contents | 1993