Research on restorative perception mechanisms in rural landscapes based on structural equation modelling

Abstract

To alleviate the emotional stress in modern urban life, people are increasingly relying on restorative environments to retain their physical and mental well-being. The rural landscape is an underestimated potential restorative environment. This study took the traditional rural settlement “Linpan” in Chengdu as representative rural landscape, which was further divided into tourist and agricultural rural landscapes. A structural equation model was used to construct a restoration perception mechanism consisting of landscape elements perception, place attachment, recreational activity preference, and restorative perception. The results showed that the perception score of farmland and woodland in agricultural rural landscapes were the highest, and buildings in tourism rural landscapes were more effective. Landscape elements perception, place attachment, recreational activity preference all have a significant impact on restorative perception (P < 0.05), with place attachment being the most critical mediating factor affecting restorative perception (Standardized path coefficient = 0.805, P < 0.001). Gender (positive moderating effect for male), age (positive), professionalism and the degree of familiarity with the rural landscape (negative) had significant moderating effects (P < 0.05). The results of the study provide recommendations for rural landscape construction and tourism development, especially through the design of landscape elements and pro-natural activities to improve tourists' place attachment and further enhance restorative perception.

Keywords

• Rural landscape
• Restorative perception
• Structural equation modelling