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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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    as
    1. Jonas De Vos & Patrick A. Singleton & Tommy Gärling, 2022. "From attitude to satisfaction: introducing the travel mode choice cycle," Transport Reviews, Taylor & Francis Journals, vol. 42(2), pages 204-221, March.
    2. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2017. "Microsimulation of low carbon urban transport policies in Beijing," Energy Policy, Elsevier, vol. 107(C), pages 561-572.
    3. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    4. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    5. Jelena Simićević & Nada Milosavljević & Vladimir Djoric, 2016. "Gender differences in travel behaviour and willingness to adopt sustainable behaviour," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(5), pages 527-537, July.
    6. Yi Zhu, 2022. "Can bicycle sharing mitigate vehicle emission in Chinese large cities? Estimation based on mode shift analysis," Transportation, Springer, vol. 49(6), pages 1627-1648, December.
    7. Rybarczyk, Greg & Gallagher, Laura, 2014. "Measuring the potential for bicycling and walking at a metropolitan commuter university," Journal of Transport Geography, Elsevier, vol. 39(C), pages 1-10.
    8. Anja Mizdrak & Tony Blakely & Christine L Cleghorn & Linda J Cobiac, 2019. "Potential of active transport to improve health, reduce healthcare costs, and reduce greenhouse gas emissions: A modelling study," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.
    9. Kunhikrishnan, Parthan & Srinivasan, Karthik K., 2018. "Investigating behavioral differences in the choice of distinct Intermediate Public Transport (IPT) modes for work trips in Chennai city," Transport Policy, Elsevier, vol. 61(C), pages 111-122.
    10. Mujahid Ali & Dimas Bayu Endrayana Dharmowijoyo & Afonso R. G. de Azevedo & Roman Fediuk & Habil Ahmad & Bashir Salah, 2021. "Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    11. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    12. Sharmeen, Fariya & Ghosh, Bipashyee & Mateo-Babiano, Iderlina, 2021. "Policy, users and discourses: Examples from bikeshare programs in (Kolkata) India and (Manila) Philippines," Journal of Transport Geography, Elsevier, vol. 90(C).
    13. Giovanni Nattino & Michael L. Pennell & Stanley Lemeshow, 2020. "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test," Biometrics, The International Biometric Society, vol. 76(2), pages 549-560, June.
    14. Javier Delso & Belén Martín & Emilio Ortega, 2018. "Potentially Replaceable Car Trips: Assessment of Potential Modal Change towards Active Transport Modes in Vitoria-Gasteiz," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    15. Carlo Luiu & Miles Tight & Michael Burrow, 2018. "Factors Preventing the Use of Alternative Transport Modes to the Car in Later Life," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    16. Masoumi, Houshmand E., 2019. "A discrete choice analysis of transport mode choice causality and perceived barriers of sustainable mobility in the MENA region," Transport Policy, Elsevier, vol. 79(C), pages 37-53.
    17. Papu Carrone, Andrea & Hoening, Valerie Maria & Jensen, Anders Fjendbo & Mabit, Stefan Eriksen & Rich, Jeppe, 2020. "Understanding car sharing preferences and mode substitution patterns: A stated preference experiment," Transport Policy, Elsevier, vol. 98(C), pages 139-147.
    18. Riccardo Ceccato & Marco Diana, 2021. "Substitution and complementarity patterns between traditional transport means and car sharing: a person and trip level analysis," Transportation, Springer, vol. 48(4), pages 1523-1540, August.
    19. Xu, JieLan, 2020. "Generational trends of gendered mobility: How do they interact with geographical contexts?," Journal of Transport Geography, Elsevier, vol. 82(C).
    20. Fearnley, Nils & Currie, Graham & Flügel, Stefan & Gregersen, Fredrik A. & Killi, Marit & Toner, Jeremy & Wardman, Mark, 2018. "Competition and substitution between public transport modes," Research in Transportation Economics, Elsevier, vol. 69(C), pages 51-58.
    21. Elżbieta Macioszek & Maria Cieśla, 2022. "External Environmental Analysis for Sustainable Bike-Sharing System Development," Energies, MDPI, vol. 15(3), pages 1-22, January.
    22. Wenlong Tao & Mahdi Aghaabbasi & Mujahid Ali & Abdulrazak H. Almaliki & Rosilawati Zainol & Abdulrhman A. Almaliki & Enas E. Hussein, 2022. "An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    23. Louviere, Jordan J & Hensher, David A, 1983. "Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(3), pages 348-361, December.
    24. Mujahid Ali & Afonso R. G. de Azevedo & Markssuel T. Marvila & Muhammad Imran Khan & Abdul Muhaimin Memon & Faisal Masood & Najib Mohammed Yahya Almahbashi & Muhammad Kashif Shad & Mudassir Ali Khan &, 2021. "The Influence of COVID-19-Induced Daily Activities on Health Parameters—A Case Study in Malaysia," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    25. Salvucci, Raffaele & Gargiulo, Maurizio & Karlsson, Kenneth, 2019. "The role of modal shift in decarbonising the Scandinavian transport sector: Applying substitution elasticities in TIMES-Nordic," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
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