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

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 landscap...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
Format: Conference paper
Language:English
Published: Institute of Physics Publishing 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077728813&doi=10.1088%2f1755-1315%2f385%2f1%2f012021&partnerID=40&md5=59daa3ff21122f77cf8b28bd81311d29
id 2-s2.0-85077728813
spelling 2-s2.0-85077728813
Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
2019
IOP Conference Series: Earth and Environmental Science
385
1
10.1088/1755-1315/385/1/012021
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077728813&doi=10.1088%2f1755-1315%2f385%2f1%2f012021&partnerID=40&md5=59daa3ff21122f77cf8b28bd81311d29
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. © Published under licence by IOP Publishing Ltd.
Institute of Physics Publishing
17551307
English
Conference paper
All Open Access; Gold Open Access
author Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
spellingShingle Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
author_facet Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
author_sort Akhir N.M.; Sakip S.R.M.; Abbas M.Y.; Othman N.
title Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
title_short Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
title_full Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
title_fullStr Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
title_full_unstemmed Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
title_sort Modelling landscape aesthetic of planting composition influencing visual quality and well-being: PLS-SEM approach
publishDate 2019
container_title IOP Conference Series: Earth and Environmental Science
container_volume 385
container_issue 1
doi_str_mv 10.1088/1755-1315/385/1/012021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077728813&doi=10.1088%2f1755-1315%2f385%2f1%2f012021&partnerID=40&md5=59daa3ff21122f77cf8b28bd81311d29
description 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. © Published under licence by IOP Publishing Ltd.
publisher Institute of Physics Publishing
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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