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Evaluation of Public Transport among University Commuters in Rural Areas

Author

Listed:
  • Ahmad H. Alomari

    (Department of Civil Engineering, Yarmouk University (YU), P.O. Box 566, Irbid 21163, Jordan)

  • Taisir S. Khedaywi

    (Department of Civil Engineering, Jordan University of Science & Technology (JUST), P.O. Box 3030, Irbid 22110, Jordan)

  • Asalah A. Jadah

    (Department of Civil Engineering, Jordan University of Science & Technology (JUST), P.O. Box 3030, Irbid 22110, Jordan)

  • Abdel Rahman O. Marian

    (Department of Civil Engineering, Jordan University of Science & Technology (JUST), P.O. Box 3030, Irbid 22110, Jordan)

Abstract

This study aimed to evaluate the quality of Public Transport (PT) in the Jordan University of Science and Technology (JUST) area, Irbid, Jordan. The study focused on two different analytical techniques. The first was the Partial Least Squares Structural Equation Model (PLS-SEM) method to analyze student satisfaction and loyalty toward using PT. The second method was binary logistic regression (BLR), which analyzed factors such as socioeconomic status and travel habits that might make someone choose PT or their car to travel to JUST. Data were collected through an electronic and paper-based questionnaire with 572 participants. This study concluded that the proposed structural model could explain 76% of the loyalty variance. Passenger satisfaction, perceived service quality, perceived costs, and environmental impact were four of the five factors directly influencing passenger loyalty that demonstrated significant impact. In addition, it was concluded that through Multi-Group Analysis (MGA), gender group was the most influential categorical moderator variable. Moreover, the indirect analysis showed that perceived service quality was the most important mediator between the observed constructs’ relationships. BLR showed that the mode of transportation at JUST was statistically correlated with occupancy, travel cost, travel time, average use of PT, and car ownership, with an overall model accuracy of 90.0%. In conclusion, by considering the discussed influencing factors, it is recommended that transportation agencies consider perceived costs, information, reliability, safety, and vehicle characteristics variables while improving PT service quality and travel time, especially in rural areas, which may raise passenger satisfaction, shift car users to PT, and lower emissions. Thus, research results can assist policymakers in implementing sustainable modes of PT.

Suggested Citation

  • Ahmad H. Alomari & Taisir S. Khedaywi & Asalah A. Jadah & Abdel Rahman O. Marian, 2022. "Evaluation of Public Transport among University Commuters in Rural Areas," Sustainability, MDPI, vol. 15(1), pages 1-32, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:312-:d:1014473
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    References listed on IDEAS

    as
    1. Willoughby, Christopher, 2013. "How much can public private partnership really do for urban transport in developing countries?," Research in Transportation Economics, Elsevier, vol. 40(1), pages 34-55.
    2. Jaeyoung Lee & Farrukh Baig & Mir Aftab Hussain Talpur & Sajan Shaikh, 2021. "Public Intentions to Purchase Electric Vehicles in Pakistan," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    3. Qinliang Tan & Minnan Wang & Yanming Deng & Haiping Yang & Rao Rao & Xingping Zhang, 2014. "The Cultivation of Electric Vehicles Market in China: Dilemma and Solution," Sustainability, MDPI, vol. 6(8), pages 1-19, August.
    4. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    5. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    6. Irfan Ahmed Memon & Saima Kalwar & Noman Sahito & Mir Aftab Hussain Talpur & Imtiaz Ahmed Chandio & Madzlan Napiah & Hasan Tayyeb, 2021. "Mode Choice Modeling to Shift Car Travelers towards Park and Ride Service in the City Centre of Karachi," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    7. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    8. 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.
    9. Lai, Wen-Tai & Chen, Ching-Fu, 2011. "Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement," Transport Policy, Elsevier, vol. 18(2), pages 318-325, March.
    10. Ahmad Alkharabsheh & Sarbast Moslem & Laila Oubahman & Szabolcs Duleba, 2021. "An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    11. van Lierop, Dea & El-Geneidy, Ahmed, 2016. "Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit," Research in Transportation Economics, Elsevier, vol. 59(C), pages 50-59.
    12. Schlägel, Christopher & Sarstedt, Marko, 2016. "Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: A composite model approach," European Management Journal, Elsevier, vol. 34(6), pages 633-649.
    13. Dragan Stojic & Zoran Ciric & Otilija Sedlak & Aleksandra Marcikic Horvat, 2020. "Students’ Views on Public Transport: Satisfaction and Emission," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    14. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    15. Barbosa, Samuel Borges & Ferreira, Marcelo Gitirana Gomes & Nickel, Elton Moura & Cruz, Jorge Alcides & Forcellini, Fernando Antônio & Garcia, Jéssica & Guerra, José Baltazar Salgueirinho Osório de An, 2017. "Multi-criteria analysis model to evaluate transport systems: An application in Florianópolis, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 1-13.
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