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Influence of Social Constraints, Mobility Incentives, and Restrictions on Commuters’ Behavioral Intentions and Moral Obligation towards the Metro-Bus Service in Lahore

Author

Listed:
  • Muhammad Ashraf Javid

    (Department of Civil Engineering, NFC Institute of Engineering and Fertiliser Research, Faisalabad, Punjab 38090, Pakistan)

  • Nazam Ali

    (Department of Civil Engineering, University of Management and Technology, Lahore 54770, Pakistan)

  • Tiziana Campisi

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Giovanni Tesoriere

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Krisada Chaiyasarn

    (Thammasat Research Unit in Infrastructure Inspection and Monitoring, Repair and Strengthening (IIMRS), Thammasat School of Engineering, Faculty of Engineering, Thammasat University Rangsit, Klong Luang 12121, Thailand)

Abstract

This paper aims to identify commuters’ perceptions towards the metro-bus service system considering various social constraints, mobility incentives and restrictions, and personal norms. A questionnaire survey was designed, which consisted of the personal information of respondents, travel properties, and preferences with the metro-bus system. This survey was conducted in Lahore city, and a total of 333 samples were obtained. The findings of the Structural Equation Modeling (SEM) revealed that the social constraints in traveling, public transport incentives, and specific parking restrictions have a significant influence on commuters’ moral obligations to reduce traffic congestion, mitigate environmental menaces, and protect natural resources. The ANOVA and SEM analysis showed that significant differences exist among low-, middle-, and high-income commuters in terms of their behavioral intentions towards the metro-bus service. These findings implicate that specific incentives on the use of public transport modes and parking restrictions are useful in changing the behavioral intentions of travelers towards transit modes such as the metro-bus service.

Suggested Citation

  • Muhammad Ashraf Javid & Nazam Ali & Tiziana Campisi & Giovanni Tesoriere & Krisada Chaiyasarn, 2022. "Influence of Social Constraints, Mobility Incentives, and Restrictions on Commuters’ Behavioral Intentions and Moral Obligation towards the Metro-Bus Service in Lahore," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2654-:d:757825
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    1. Syyed Adnan Raheel Shah & Monib Shahzad & Naveed Ahmad & Abdullah Zamad & Sabahat Hussan & Muhammad Asif Aslam & Ahsan Rehman Khan & Muhammad Abdullah Asif & Gullnaz Shahzadi & Muhammad Waseem, 2020. "Performance Evaluation of Bus Rapid Transit System: A Comparative Analysis of Alternative Approaches for Energy Efficient Eco-Friendly Public Transport System," Energies, MDPI, vol. 13(6), pages 1-15, March.
    2. Christiansen, Petter & Engebretsen, Øystein & Fearnley, Nils & Usterud Hanssen, Jan, 2017. "Parking facilities and the built environment: Impacts on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 198-206.
    3. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    4. Duy Q. Nguyen-Phuoc & William Young & Graham Currie & Chris Gruyter, 2020. "Traffic congestion relief associated with public transport: state-of-the-art," Public Transport, Springer, vol. 12(2), pages 455-481, June.
    5. Collins, Patricia A. & MacFarlane, Robert, 2018. "Evaluating the determinants of switching to public transit in an automobile-oriented mid-sized Canadian city: A longitudinal analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 682-695.
    6. Muhammad Nadeem & Muhammad Azam & Muhammad Asim & Muhammad Ahmad Al-Rashid & Othman Che Puan & Tiziana Campisi, 2021. "Does Bus Rapid Transit System (BRTS) Meet the Citizens’ Mobility Needs? Evaluating Performance for the Case of Multan, Pakistan," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    7. Amoh-Gyimah, Richard & Aidoo, Eric Nimako, 2013. "Mode of transport to work by government employees in the Kumasi metropolis, Ghana," Journal of Transport Geography, Elsevier, vol. 31(C), pages 35-43.
    8. Nordfjærn, Trond & Egset, Kaja Solland & Mehdizadeh, Milad, 2019. "“Winter is coming”: Psychological and situational factors affecting transportation mode use among university students," Transport Policy, Elsevier, vol. 81(C), pages 45-53.
    9. 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.
    10. Amirali Soltanpour & Mahmoud Mesbah & Meeghat Habibian, 2020. "Customer satisfaction in urban rail: a study on transferability of structural equation models," Public Transport, Springer, vol. 12(1), pages 123-146, March.
    11. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    12. Zuo, Yufan & Fu, Xiao & Liu, Zhiyuan & Huang, Di, 2021. "Short-term forecasts on individual accessibility in bus system based on neural network model," Journal of Transport Geography, Elsevier, vol. 93(C).
    13. 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.
    14. Muhammad Adeel & Anthony G. O. Yeh & Feng Zhang, 2017. "Gender inequality in mobility and mode choice in Pakistan," Transportation, Springer, vol. 44(6), pages 1519-1534, November.
    15. Delmelle, Elizabeth Cahill & Casas, Irene, 2012. "Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing country: The case of Cali, Colombia," Transport Policy, Elsevier, vol. 20(C), pages 36-46.
    16. Nicolaou, Andreas I. & Masoner, Michael M., 2013. "Sample size requirements in structural equation models under standard conditions," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 256-274.
    17. William Jen & Rungting Tu & Tim Lu, 2011. "Managing passenger behavioral intention: an integrated framework for service quality, satisfaction, perceived value, and switching barriers," Transportation, Springer, vol. 38(2), pages 321-342, March.
    18. Zolnik, Edmund J. & Malik, Ammar & Irvin-Erickson, Yasemin, 2018. "Who benefits from bus rapid transit? Evidence from the Metro Bus System (MBS) in Lahore," Journal of Transport Geography, Elsevier, vol. 71(C), pages 139-149.
    19. Xiaoning Liu & Linjie Gao & Anning Ni & Nan Ye, 2020. "Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China," Sustainability, MDPI, vol. 12(1), pages 1-13, January.
    20. Alejandro Sánchez-Atondo & Leonel García & Julio Calderón-Ramírez & José Manuel Gutiérrez-Moreno & Alejandro Mungaray-Moctezuma, 2020. "Understanding Public Transport Ridership in Developing Countries to Promote Sustainable Urban Mobility: A Case Study of Mexicali, Mexico," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
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