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Public transport promotion policy on campus: evidence from Suranaree University in Thailand

Author

Listed:
  • Sajjakaj Jomnonkwao

    (Pibulsongkram Rajabhat University)

  • Onanong Sangphong

    (Nakhon Ratchasima Rajabhat University)

  • Buratin Khampirat

    (Suranaree University of Technology)

  • Siradol Siridhara

    (Suranaree University of Technology)

  • Vatanavongs Ratanavaraha

    (Suranaree University of Technology)

Abstract

This study aims to determine factors affecting quality of public transport service and public transport demand for students. The findings will be a tool to develop a policy promoting public and sustainable transportation. Applying second order confirmatory factor analysis, the study found that the most important factor on bus service quality was convenience, followed by service planning and bus network. The most important factors affecting the intention to increase bus usage were attitude, personal norm, and a lack of private vehicle. All three factors presented a positive effect on the intention to increase bus usage. A Factor with a negative impact was perceived behavior control of increasing bus usage. Socioeconomic factors, namely hometown, sex, and academic year did not have a direct influence on the intention to increase bus usage, but have an indirect effect through vehicle ownership. The study results could be used to establish an efficient policy to increase bus ridership.

Suggested Citation

  • Sajjakaj Jomnonkwao & Onanong Sangphong & Buratin Khampirat & Siradol Siridhara & Vatanavongs Ratanavaraha, 2016. "Public transport promotion policy on campus: evidence from Suranaree University in Thailand," Public Transport, Springer, vol. 8(2), pages 185-203, September.
    • Handle: RePEc:spr:pubtra:v:8:y:2016:i:2:d:10.1007_s12469-016-0122-2
    DOI: 10.1007/s12469-016-0122-2
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    References listed on IDEAS

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    1. dell'Olio, Luigi & Ibeas, Angel & Cecín, Patricia, 2010. "Modelling user perception of bus transit quality," Transport Policy, Elsevier, vol. 17(6), pages 388-397, November.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Ratanavaraha, Vatanavongs & Jomnonkwao, Sajjakaj, 2015. "Trends in Thailand CO2 emissions in the transportation sector and Policy Mitigation," Transport Policy, Elsevier, vol. 41(C), pages 136-146.
    4. Balsas, Carlos J. L., 2003. "Sustainable transportation planning on college campuses," Transport Policy, Elsevier, vol. 10(1), pages 35-49, January.
    5. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2013. "Perceived service quality in bus transit service: A structural equation approach," Transport Policy, Elsevier, vol. 29(C), pages 219-226.
    6. William Jen & Kai-Chieh Hu, 2003. "Application of perceived value model to identify factors affecting passengers' repurchase intentions on city bus: A case of the Taipei metropolitan area," Transportation, Springer, vol. 30(3), pages 307-327, August.
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    Citations

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    Cited by:

    1. Savalee Uttra & Napat Laddawan & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2020. "Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling," IJERPH, MDPI, vol. 17(23), pages 1-22, November.
    2. Hiranya Sritart & Kuson Tuntiwong & Hiroyuki Miyazaki & Somchat Taertulakarn, 2021. "Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand," IJERPH, MDPI, vol. 18(20), pages 1-24, October.
    3. Sajjakaj Jomnonkwao & Savalee Uttra & Vatanavongs Ratanavaraha, 2020. "Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
    4. Savalee Uttra & Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Vatanavongs Ratanavaraha, 2020. "Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    5. Aghaabbasi, Mahdi & Shekari, Zohreh Asadi & Shah, Muhammad Zaly & Olakunle, Oloruntobi & Armaghani, Danial Jahed & Moeinaddini, Mehdi, 2020. "Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 262-281.

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