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The Development of Service Metrics Indicators of a Public Transportation Service Case Study: Intercity Trains in Nakhon Ratchasima Province, Thailand

Author

Listed:
  • Nattiya Wonglakorn

    (Logistics Technology Program, Faculty of Sciences and Liberal Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Anon Chantaratang

    (Logistics Technology Program, Faculty of Sciences and Liberal Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Cherdsak Suksiripattanapong

    (Department of Civil Engineering, Faculty of Engineering and Technology, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Karn Na Sritha

    (Faculty of Industrial Technology and Management, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Warunee Aunphoklang

    (Program in Urban Planning, Faculty of Architecture and Creative Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Nattida Ninjinda

    (Civil Engineering Department, Faculty of Industrial and Technology, Rajamangala University of Technology Isan Sakon Nakhon Campus, Sakon Nakhon 47160, Thailand)

  • Wilasinee Keerakittisakul

    (Logistics Technology Program, Faculty of Sciences and Liberal Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

Abstract

This research studied the relationships of indicators related to the selection of intercity train services in Thailand’s Nakhon Ratchasima province. The goal was to examine the characteristics of the intercity train services and the factors that influence choosing them. The research tool used to collect data consisted of 508 sets of questionnaires completed by samples who had used the intercity train service. The data were analyzed using structural equation modeling to investigate the service quality and customer satisfaction indicators affecting the selection of intercity train services. The study found that the service quality indicators included station, service, staff, and vehicle. The customer satisfaction indicators included station, service, travel promotions, and price satisfaction. However, when the service quality indicators were investigated, they had a direct positive effect on customer satisfaction at the 0.01 level of statistical significance. Passengers are most satisfied with obtaining travel information, such as train timetables, fares, and updated information. The involved agencies can use the study’s findings to determine policies and formulate plans for information management and intercity train service metrics.

Suggested Citation

  • Nattiya Wonglakorn & Anon Chantaratang & Cherdsak Suksiripattanapong & Karn Na Sritha & Warunee Aunphoklang & Nattida Ninjinda & Wilasinee Keerakittisakul, 2023. "The Development of Service Metrics Indicators of a Public Transportation Service Case Study: Intercity Trains in Nakhon Ratchasima Province, Thailand," Sustainability, MDPI, vol. 15(15), pages 1-12, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11739-:d:1206418
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    References listed on IDEAS

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    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. R. Chumpitaz & N. Paparoidamis, 2007. "Service quality, relationship satisfaction, trust, commitment, and business-to-business loyalty," Post-Print hal-00199063, HAL.
    3. Nattiya Wonglakorn & Vatanavongs Ratanavaraha & Ampol Karoonsoontawong & Sajjakaj Jomnonkwao, 2021. "Exploring Passenger Loyalty and Related Factors for Urban Railways in Thailand," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    4. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    5. Tso-Ying Lee & Shih-Chun Hsing & Chin-Ching Li, 2021. "An Improved Stress-Scale Specifically Designed to Measure Stress of Women with Newly Diagnosed Breast Cancer," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    Full references (including those not matched with items on IDEAS)

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