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Factors Affecting Travel Behaviour Change towards Active Mobility: A Case Study in a Thai University

Author

Listed:
  • Ratthaphong Meesit

    (Department of Civil Engineering, Faculty of Engineering, Burapha University, Chon Buri 20131, Thailand)

  • Shongwut Puntoomjinda

    (School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Preeda Chaturabong

    (School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Sumethee Sontikul

    (Bureau of Location and Design, Department of Highways, Rama VI Rd., Thung Phaya Thai, Ratchathewi District, Bangkok 10400, Thailand)

  • Supattra Arunnapa

    (WHO—Royal Thai Government (RTG) Country Cooperation Strategy (CCS), Bangkok 10120, Thailand)

Abstract

This study investigates the factors influencing travel behaviour change towards active mobility (AM) in the context of a suburban university in Thailand. The research framework involves developing a qualitative questionnaire for a SWOT analysis. The outcomes of this analysis inform the creation of a quantitative questionnaire called the Stated Preference Survey. This survey collects opinions from 400 randomly selected individuals representing various demographics in the study area. The collected data are then analysed using a binary logistic regression model to explore the relationship between independent variables (such as demographics, travel characteristics, and perceptions of infrastructure and amenities) and the likelihood of individuals adopting AM. The results indicate that the demographic variables, such as gender and income, played a significant role, with males and higher-income individuals showing lower likelihood of adopting AM. The presence of well-designed infrastructure with aesthetic features and rest areas along pedestrian and bicycle paths positively influenced behaviour change. Safety and security measures, including protective measures against motorcycles on pedestrian paths, installing CCTV cameras, and safe crossings, also played a crucial role. However, promotional efforts through media and applications did not significantly contribute to behaviour change. Policymakers and urban planners can use these insights to effectively encourage AM.

Suggested Citation

  • Ratthaphong Meesit & Shongwut Puntoomjinda & Preeda Chaturabong & Sumethee Sontikul & Supattra Arunnapa, 2023. "Factors Affecting Travel Behaviour Change towards Active Mobility: A Case Study in a Thai University," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11393-:d:1199893
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    References listed on IDEAS

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    1. Rahul Goel & Oyinlola Oyebode & Louise Foley & Lambed Tatah & Christopher Millett & James Woodcock, 2023. "Gender differences in active travel in major cities across the world," Transportation, Springer, vol. 50(2), pages 733-749, April.
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    3. Easton, Sue & Ferrari, Ed, 2015. "Children's travel to school—the interaction of individual, neighbourhood and school factors," Transport Policy, Elsevier, vol. 44(C), pages 9-18.
    4. Limanond, Thirayoot & Butsingkorn, Tanissara & Chermkhunthod, Chutima, 2011. "Travel behavior of university students who live on campus: A case study of a rural university in Asia," Transport Policy, Elsevier, vol. 18(1), pages 163-171, January.
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