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Modeling Extended Service Quality for Public Transportation in the Post-Pandemic Period: Differentiating between Urban and Rural Areas: A Case Study of Intercity Railway, Thailand

Author

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  • Panuwat Wisutwattanasak

    (Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Thanapong Champahom

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Sajjakaj Jomnonkwao

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Manlika Seefong

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Kestsirin Theerathitichaipa

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Rattanaporn Kasemsri

    (School of Civil Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Vatanavongs Ratanavaraha

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

Abstract

Background: Scholars have indicated differences in the attitudes of urban and non-urban populations, especially after the COVID-19 outbreak, which extend to their needs and expectations regarding rail transport development. The aim of this study is to enhance the quality of train services in the post-pandemic era, and multigroup analysis will be applied to achieve the difference in area context. Methods: The research data were collected from rail transport users throughout Thailand, consisting of 665 urban and 935 rural users. The questionnaires primarily focused on user expectations regarding rail service quality and travel conditions in the post-pandemic landscape using multigroup confirmatory factor analysis (MCFA). Results: The results unveiled significant variations in user trends and needs across different contexts and areas. In urban settings, there was a notably higher overall service expectation compared to rural areas. Specifically, urban users prioritized factors such as accessibility and service empathy, whereas rural rail users placed greater emphasis on staff quality and reasonable pricing. Conclusions: These findings furnish rail transport service agencies with valuable insights and guidance for comprehending their users’ needs. They can develop appropriate organizational strategies, service quality enhancements, and policy adjustments tailored to the unique demands of urban and rural areas in the post-pandemic era, thereby ensuring sustainability. Additionally, the methodology of multigroup analysis served as a significant scientific contribution; this showed that the statistical analysis of different area contexts in the study should not be ignored.

Suggested Citation

  • Panuwat Wisutwattanasak & Thanapong Champahom & Sajjakaj Jomnonkwao & Manlika Seefong & Kestsirin Theerathitichaipa & Rattanaporn Kasemsri & Vatanavongs Ratanavaraha, 2023. "Modeling Extended Service Quality for Public Transportation in the Post-Pandemic Period: Differentiating between Urban and Rural Areas: A Case Study of Intercity Railway, Thailand," Logistics, MDPI, vol. 7(4), pages 1-24, December.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:4:p:93-:d:1294543
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    References listed on IDEAS

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    1. Yuning Wang & Zhe Zhang & Mengyuan Zhu & Hexian Wang, 2020. "The Impact of Service Quality and Customer Satisfaction on Reuse Intention in Urban Rail Transit in Tianjin, China," SAGE Open, , vol. 10(1), pages 21582440198, January.
    2. Dan Wan & Camille Kamga & Wei Hao & Aaron Sugiura & Eric B. Beaton, 2016. "Customer satisfaction with bus rapid transit: a study of New York City select bus service applying structural equation modeling," Public Transport, Springer, vol. 8(3), pages 497-520, December.
    3. Hanumantha Rao Sama & Long-Sheng Chen & Venkateswarlu Nalluri & Madhavaiah Chendragiri, 2023. "Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach," Public Transport, Springer, vol. 15(2), pages 479-501, June.
    4. Machado-León, José Luis & de Oña, Rocío & Baouni, Tahar & de Oña, Juan, 2017. "Railway transit services in Algiers: priority improvement actions based on users perceptions," Transport Policy, Elsevier, vol. 53(C), pages 175-185.
    5. Miranda, Sandra & Tavares, Patrícia & Queiró, Rita, 2018. "Perceived service quality and customer satisfaction: A fuzzy set QCA approach in the railway sector," Journal of Business Research, Elsevier, vol. 89(C), pages 371-377.
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