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Determining Usage Intention for the Sustainability of Public Transport in Northern Cyprus Using the Theory of Planned Behaviour

Author

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  • Mehmet Angın

    (Department of Civil Engineering, Faculty of Civil and Environmental Engineering, Near East University, Nicosia 99138, Cyprus)

  • Shaban Ismael Albrka Ali

    (Department of Civil Engineering, Faculty of Civil and Environmental Engineering, Near East University, Nicosia 99138, Cyprus)

  • Hussin A. M. Yahia

    (Department of Civil & Mechanical Engineering, Middle East College, Muscat 124, Oman)

Abstract

Transportation plays an important role in serving economic, social, political, and population mobility. Public transport is gaining importance for providing sustainability, such as by reducing traffic congestion, noise levels, providing better air quality, and contributing to public health. Public transportation facilities are undeveloped in Northern Cyprus, and only buses and minibuses are available. Many people are ready to shift to public transportation if safe, reliable, and affordable transportation options are available. The theory of planned behaviour was used, and an online survey including 33 questions was conducted with the contributions of 385 participants. All variables of the theory of planned behaviour have a greater than 0.70 Cronbach’s alpha value; therefore, multiple linear regression analysis with the SPSS V27 program was conducted to detect the impact of attitude, subjective norms, and perceived behavioural control on behavioural intention. Note that 32.2% of intention is indicated by attitude, subjective norms, and perceived behavioural control. The study concluded that subjective norms and perceived behavioural control have a positive influence on behavioural intention. Attitude is not a predictor of behavioural intention. Subjective norms are the strongest (β = 0.438, p < 0.001), and perceived behavioural control is the weakest (β = 0.438, p < 0.001) predictor of public transport usage intention.

Suggested Citation

  • Mehmet Angın & Shaban Ismael Albrka Ali & Hussin A. M. Yahia, 2024. "Determining Usage Intention for the Sustainability of Public Transport in Northern Cyprus Using the Theory of Planned Behaviour," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:804-:d:1320934
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    References listed on IDEAS

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    1. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    2. Rivaldo Sirilus Langi* & Farhan Rizky Ramadhan & Luciano Vito Michael Pelenkahu & Ina Agustini Murwani, 2020. "Factors that Influence the Intention to Reuse Public Transport Routes Involving Transfer in the Early Stage of Integrated Transportation System Development: MRT Case in Jakarta," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 6(3), pages 286-292, 03-2020.
    3. 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.
    4. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    5. Vanessa Stjernborg & Ola Mattisson, 2016. "The Role of Public Transport in Society—A Case Study of General Policy Documents in Sweden," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    6. Saghapour, Tayebeh & Moridpour, Sara & Thompson, Russell G., 2016. "Public transport accessibility in metropolitan areas: A new approach incorporating population density," Journal of Transport Geography, Elsevier, vol. 54(C), pages 273-285.
    Full references (including those not matched with items on IDEAS)

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