Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach

• Main Authors: Abbas, MY (Author), Akhir, NM (Author), Othman, N (Author), Sakip, SRM (Author)
• Format: Article
• Language: English
• Published: 2019
• Subjects: IMPACT; PREFERENCE
• Online Access: View Fulltext in Publisher

 Planting composition (PC) is designed to be aesthetically pleasing, functional utilizing and ecologically sustaining. In landscape research, a plant is a powerful element in assessing visual quality. Visual quality for each landscape depends on the visual composition of plants. The study on landscape assessment in a campus is commonly correlated with green space. However, the composition and design of planting in the green spaces on campus grounds have not been considered yet. Therefore, this study aims to explore the influence of PC towards visual quality and its relationships with the well-being of students. The conceptual model is composed of endogenous latent variables (LVs) according to the pattern of visual composition namely coherence, complexity, legibility and mystery. The exogenous LVs is PC and well-being. Positive emotion, engagement, relationships, meaning and accomplishment (PERMA) are the items used to test the relationship with the pattern of PC. This study applied confirmatory factor analysis (CFA) with pilot data to measure the relationship between LVs. The result validates that PC should consider 5 pillars of well-being which is PERMA to serve students with better visual access to landscape on campus.