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Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan

Transport planning and public health have been intertwined historically. The health impact of public transport services, such as social exclusion, is a widely discussed research topic. Social exclusion is a paramount concern for older adults’ health in the wake of emerging global challenges. However...

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Autores principales: Al-Rashid, Muhammad Ahmad, Goh, Hong Ching, Harumain, Yong Adilah Shamsul, Ali, Zulfiqar, Campisi, Tiziana, Mahmood, Tahir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794845/
https://www.ncbi.nlm.nih.gov/pubmed/33383763
http://dx.doi.org/10.3390/ijerph18010185
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author Al-Rashid, Muhammad Ahmad
Goh, Hong Ching
Harumain, Yong Adilah Shamsul
Ali, Zulfiqar
Campisi, Tiziana
Mahmood, Tahir
author_facet Al-Rashid, Muhammad Ahmad
Goh, Hong Ching
Harumain, Yong Adilah Shamsul
Ali, Zulfiqar
Campisi, Tiziana
Mahmood, Tahir
author_sort Al-Rashid, Muhammad Ahmad
collection PubMed
description Transport planning and public health have been intertwined historically. The health impact of public transport services, such as social exclusion, is a widely discussed research topic. Social exclusion is a paramount concern for older adults’ health in the wake of emerging global challenges. However, there remains a significant research gap on how psychosocial barriers faced by older adults in using public transport services influence the social exclusion behavior. The present research provides empirical evidence and shows the impact of certain psychosocial barriers of public transportation on older adults’ social exclusion. A total of 243 Pakistani older adults (aged 60–89 years old) voluntarily participated in this cross-sectional study. The participants provided self-reports on their psychosocial barriers (including perceived norms, attitude, personal ability, habits, neighborhood social constraints, and intention) and the corresponding social exclusion. Partial Least Square Structural Equation Modeling (PLS-SEM) was utilized for the data analysis. The structural path model supported the significant associations between psychosocial barriers and social exclusion. Except for perceived descriptive norms, all other psychosocial barriers predicted older adults’ social exclusion. The research portrays the significance of the psychosocial factors to examine social exclusion and offers practical implications for urban and transport planners. The concerned policymakers can use the research findings to develop age-sensitive, socially sustainable, and healthy cities.
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spelling pubmed-77948452021-01-10 Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan Al-Rashid, Muhammad Ahmad Goh, Hong Ching Harumain, Yong Adilah Shamsul Ali, Zulfiqar Campisi, Tiziana Mahmood, Tahir Int J Environ Res Public Health Article Transport planning and public health have been intertwined historically. The health impact of public transport services, such as social exclusion, is a widely discussed research topic. Social exclusion is a paramount concern for older adults’ health in the wake of emerging global challenges. However, there remains a significant research gap on how psychosocial barriers faced by older adults in using public transport services influence the social exclusion behavior. The present research provides empirical evidence and shows the impact of certain psychosocial barriers of public transportation on older adults’ social exclusion. A total of 243 Pakistani older adults (aged 60–89 years old) voluntarily participated in this cross-sectional study. The participants provided self-reports on their psychosocial barriers (including perceived norms, attitude, personal ability, habits, neighborhood social constraints, and intention) and the corresponding social exclusion. Partial Least Square Structural Equation Modeling (PLS-SEM) was utilized for the data analysis. The structural path model supported the significant associations between psychosocial barriers and social exclusion. Except for perceived descriptive norms, all other psychosocial barriers predicted older adults’ social exclusion. The research portrays the significance of the psychosocial factors to examine social exclusion and offers practical implications for urban and transport planners. The concerned policymakers can use the research findings to develop age-sensitive, socially sustainable, and healthy cities. MDPI 2020-12-29 2021-01 /pmc/articles/PMC7794845/ /pubmed/33383763 http://dx.doi.org/10.3390/ijerph18010185 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Al-Rashid, Muhammad Ahmad
Goh, Hong Ching
Harumain, Yong Adilah Shamsul
Ali, Zulfiqar
Campisi, Tiziana
Mahmood, Tahir
Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title_full Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title_fullStr Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title_full_unstemmed Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title_short Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan
title_sort psychosocial barriers of public transport use and social exclusion among older adults: empirical evidence from lahore, pakistan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794845/
https://www.ncbi.nlm.nih.gov/pubmed/33383763
http://dx.doi.org/10.3390/ijerph18010185
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