Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults

Walkability has now been a popular policy to be adopted in the city centre as traffic congestion and inefficient public transportation have affected the mobility of the urban users prior to the pandemic. The pandemic has paved more efforts to improve the design of urban spaces to increase walkabilit...

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Main Authors: Bashri, Ahmad Syukri, Che Amat, Rohayah
Format: Article
Language:English
Published: Penerbit UTM Press 2022
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Online Access:http://eprints.utm.my/id/eprint/101002/1/RohayahCheAmat2022_PersonalityandWalkability.pdf
http://eprints.utm.my/id/eprint/101002/
http://dx.doi.org/10.11113/ijbes.v9.n1.893
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spelling my.utm.1010022023-05-18T06:15:29Z http://eprints.utm.my/id/eprint/101002/ Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults Bashri, Ahmad Syukri Che Amat, Rohayah T Technology (General) Walkability has now been a popular policy to be adopted in the city centre as traffic congestion and inefficient public transportation have affected the mobility of the urban users prior to the pandemic. The pandemic has paved more efforts to improve the design of urban spaces to increase walkability in the cities. In the attempt to predict walking activity amongst Malaysian adults psychologically, a personality test using Big Five Aspect Scales (BFAS) was conducted in relation to individual walking frequency in urban settings. Structural equation modelling (SEM) was used to analyze the predicting capacity of personality constructs control by general intelligence in relation to walking behaviour. The results show that the higher order meta-traits of the big five personality traits which are Stability (Neuroticism, Agreeableness, and Conscientiousness) and Plasticity (Extraversion and Openness to Experience) can be used as a reliable predictor for individual walking behaviour. As hypothesized, walking behaviour amongst Malaysians was characterized by reversed Stability (r = -.58) and high Plasticity (r = .76). The implication suggested the necessity of cognitive navigability and design predictability metrics of urban design cognitive performance in influencing the psychological factor of walking behaviour. Penerbit UTM Press 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101002/1/RohayahCheAmat2022_PersonalityandWalkability.pdf Bashri, Ahmad Syukri and Che Amat, Rohayah (2022) Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults. International Journal of Built Environment and Sustainability,, 9 (1). pp. 99-105. ISSN 2289-8948 http://dx.doi.org/10.11113/ijbes.v9.n1.893 DOI: 10.11113/ijbes.v9.n1.893
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Bashri, Ahmad Syukri
Che Amat, Rohayah
Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
description Walkability has now been a popular policy to be adopted in the city centre as traffic congestion and inefficient public transportation have affected the mobility of the urban users prior to the pandemic. The pandemic has paved more efforts to improve the design of urban spaces to increase walkability in the cities. In the attempt to predict walking activity amongst Malaysian adults psychologically, a personality test using Big Five Aspect Scales (BFAS) was conducted in relation to individual walking frequency in urban settings. Structural equation modelling (SEM) was used to analyze the predicting capacity of personality constructs control by general intelligence in relation to walking behaviour. The results show that the higher order meta-traits of the big five personality traits which are Stability (Neuroticism, Agreeableness, and Conscientiousness) and Plasticity (Extraversion and Openness to Experience) can be used as a reliable predictor for individual walking behaviour. As hypothesized, walking behaviour amongst Malaysians was characterized by reversed Stability (r = -.58) and high Plasticity (r = .76). The implication suggested the necessity of cognitive navigability and design predictability metrics of urban design cognitive performance in influencing the psychological factor of walking behaviour.
format Article
author Bashri, Ahmad Syukri
Che Amat, Rohayah
author_facet Bashri, Ahmad Syukri
Che Amat, Rohayah
author_sort Bashri, Ahmad Syukri
title Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
title_short Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
title_full Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
title_fullStr Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
title_full_unstemmed Personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst Malaysian adults
title_sort personality and walkability: predicting walking behaviour in urban settings using the higher order factors of the big five amongst malaysian adults
publisher Penerbit UTM Press
publishDate 2022
url http://eprints.utm.my/id/eprint/101002/1/RohayahCheAmat2022_PersonalityandWalkability.pdf
http://eprints.utm.my/id/eprint/101002/
http://dx.doi.org/10.11113/ijbes.v9.n1.893
_version_ 1768006595585769472
score 13.160551