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Urban Mobility Mode Shift to Active Transport: Sociodemographic Dependency and Potential Greenhouse Gas Emission Reduction

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  • Kah Mun Ng
  • Choon Wah Yuen
  • Chiu Chuen Onn
  • Nik Ibtishamiah Ibrahim

Abstract

The aim of this study was to explore the association between travel mode choice and individual sociodemographic characteristics among urban city dwellers, as the selection of daily travel modes is influenced by several factors. The study collected 1,290 short daily trips data from 415 respondents living in Klang Valley using a random sampling technique. Logit regression models were utilized to identify the impact of sociodemographic traits on travel mode choices. Men, low education levels, students, and households without children and do not own private vehicles are more likely to choose active transportation. Besides, the study examines the potential for greenhouse gas (GHG) emission reduction. Based on Life Cycle Assessment (LCA), 142 kgCO 2 e or 108 kgCO 2 e/km of GHG were released by automobiles from the collected travel trip data. The result shows that active transport could potentially achieve 14.52% GHG emission reduction by stated preference and nearly 17% GHG emission reduction by criteria fulfillment. These findings could provide valuable information for developing practical planning policies aimed at reducing GHG emissions from the road transport sector.

Suggested Citation

  • Kah Mun Ng & Choon Wah Yuen & Chiu Chuen Onn & Nik Ibtishamiah Ibrahim, 2024. "Urban Mobility Mode Shift to Active Transport: Sociodemographic Dependency and Potential Greenhouse Gas Emission Reduction," SAGE Open, , vol. 14(1), pages 21582440241, January.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241228644
    DOI: 10.1177/21582440241228644
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    1. Fu, Xiao & Wu, Peimin, 2025. "Measurement methods and influencing factors of carbon emissions from residents' travel," Applied Energy, Elsevier, vol. 377(PD).

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