Innovative computation to detect stress in working people based on mode of commute
Mhd Saeed Sharif
1
,
Madhav Raj Theeng Tamang
1
,
Cynthia Fu
2, 3
,
M. K. Al Zahrani
4
,
Fahad Alblehai
4
1
School of Architecture, Computing and Engineering, CDT, UEL, University Way, London, E16 2RD, UK
|
3
School of Psychology, UEL, Water Lane, London, E15 4LZ, UK
|
Publication type: Journal Article
Publication date: 2025-03-01
scimago Q1
wos Q1
SJR: 0.877
CiteScore: 6.3
Impact factor: 3.3
ISSN: 22141405, 22141413
Abstract
Introduction:Commuting is an integral part of modern life for many people, shaping daily routines and impacting overall well-being. With various transportation options, including driving, public transport, walking, and cycling, commuters encounter various experiences and challenges in their everyday journeys. Understanding how different modes of commuting affect stress levels is essential for improving public health and informing transportation planning. This study develops advanced machine-learning techniques to explore the connection between commuting methods and stress levels.
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Citations from 2024:
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GOST
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Sharif M. S. et al. Innovative computation to detect stress in working people based on mode of commute // Journal of Transport and Health. 2025. Vol. 41. p. 101979.
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Sharif M. S., Tamang M. R. T., Fu C., Zahrani M. K. A., Alblehai F. Innovative computation to detect stress in working people based on mode of commute // Journal of Transport and Health. 2025. Vol. 41. p. 101979.
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RIS
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TY - JOUR
DO - 10.1016/j.jth.2024.101979
UR - https://linkinghub.elsevier.com/retrieve/pii/S2214140524002251
TI - Innovative computation to detect stress in working people based on mode of commute
T2 - Journal of Transport and Health
AU - Sharif, Mhd Saeed
AU - Tamang, Madhav Raj Theeng
AU - Fu, Cynthia
AU - Zahrani, M. K. Al
AU - Alblehai, Fahad
PY - 2025
DA - 2025/03/01
PB - Elsevier
SP - 101979
VL - 41
SN - 2214-1405
SN - 2214-1413
ER -
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BibTex (up to 50 authors)
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@article{2025_Sharif,
author = {Mhd Saeed Sharif and Madhav Raj Theeng Tamang and Cynthia Fu and M. K. Al Zahrani and Fahad Alblehai},
title = {Innovative computation to detect stress in working people based on mode of commute},
journal = {Journal of Transport and Health},
year = {2025},
volume = {41},
publisher = {Elsevier},
month = {mar},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2214140524002251},
pages = {101979},
doi = {10.1016/j.jth.2024.101979}
}