Catalogus

Paths in urban green spaces are not only the connections between places but also places for visitors reducing mental stress and seeking psychological well-being. However, there is a lack of evidence-based research on the effects of landscape composition along the path on restorative quality, failing to provide a cohesive guideline for practice.

Fourteen videos representing the popular path landscapes in urban green spaces were produced using computer software by adding or/and deleting elements and controlling environmental components. The restorative quality of these videos was measured by Short-version Revised Restoration Scale (SRRS). Statistical analysis was employed to treat the data and checked the effects of different landscape types and complexity on restorative quality.

(1) A significant difference in restorative quality between 14 path landscapes was found, comparatively, the path containing lawn or(and) forest was much better than that containing bamboo and waterscape, and bamboo was a negative predictor of restorative quality; (2) waterscape generally reduced the restorative quality of vegetated path landscape, especially when the landscape possessed higher restorative quality; (3) path landscape complexity had a weak influence on restorative quality.