Title: Exploring the nonlinear effects of greenery on active travel among the ageing population
Abstract
This paper examines the nonlinear influences of the quantity and quality of street-level greenery on active travel among older adults. The active travel information was obtained from the Study on Global Ageing and Adult Health conducted in Shanghai, China. Street-level greenery was assessed based on street view data and a deep learning approach, namely street view greenery quantity (SVG-quantity) and quality (SVG-quality). Gradient boosting decision tree models and SHapley Additive exPlanations were applied. The results showed that SVG-quantity had a positive and nonlinear link with active travel. However, SVG-quality was positively correlated to the propensity for active travel, but the association became inverse when SVG-quality exceeded a specific cut-off point. SVG-quality also had a nonlinear and positive association with the duration of active travel. This research demonstrates the importance of improving the provision of street-level greenery in urban areas, which is crucial for facilitating active lifestyles among the ageing population.
Keywords
Street-level greenery;
Active travel;
Older adults;
Nonlinear effects;
Street view data
Highlights
- The nonlinear influences of street-level greenery on active travel are examined.
- SVG-quantity is more important than SVG-quality in predicting active travel.
- Built environment factors have a nonlinear association with active travel.
- Street-level greenery can facilitate active lifestyles among older adults.
Full Text Download
Journal of Transport Geography
Q.E.D.