Tahir Mahmood

Dr. Tahir Mahmood

School of Computing, Eng. and Physical Sciences, University of the West of Scotland, Paisley, Renfrewshire, UK
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 July 2019 in Quality and Reliability Engineering International
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Journal Article
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Tahir MahmoodTahir Mahmood
Tahir Mahmood
MXMin Xie
Min Xie

11 January 2017 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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MRMuhammad Riaz
Muhammad Riaz
Tahir MahmoodTahir Mahmood
Tahir Mahmood
SASaddam Abbasi
Saddam Abbasi
NANasir Abbas
Nasir Abbas
SAShabbir Ahmad
Shabbir Ahmad

3 June 2021 in International Journal of Intelligent Systems
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Journal Article
Closed access
PDF file
Tahir MahmoodTahir Mahmood
Tahir Mahmood
MSMUHAMMAD SAAD
MUHAMMAD SAAD
ZAZeeshan Ali
Zeeshan Ali
Dragan PamucarDragan Pamucar
Dragan Pamucar

21 May 2018 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Tahir MahmoodTahir Mahmood
Tahir Mahmood
MRMuhammad Riaz
Muhammad Riaz
MOM. Hafidz Omar
M. Hafidz Omar
MXMin Xie
Min Xie

MAMuhammad Ahmad Al-Rashid
Muhammad Ahmad Al-Rashid
HGHong Ching Goh
Hong Ching Goh
Yong Adilah Shamsul HarumainYong Adilah Shamsul Harumain
Yong Adilah Shamsul Harumain
ZAZulfiqar Ali
Zulfiqar Ali
Tiziana CampisiTiziana Campisi
Tiziana Campisi
Tahir MahmoodTahir Mahmood
Tahir Mahmood
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.