IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i5p2654-d757825.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/5/2654/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/5/2654/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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).
    19. 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.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Allen, Jaime & Muñoz, Juan Carlos & Rosell, Jordi, 2019. "Effect of a major network reform on bus transit satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 310-333.
    2. Nguyen-Phuoc, Duy Q. & Phuong Tran, Anh Thi & Nguyen, Tiep Van & Le, Phuong Thi & Su, Diep Ngoc, 2021. "Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach," Transport Policy, Elsevier, vol. 101(C), pages 162-173.
    3. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    4. Celik, Erkan & Aydin, Nezir & Gumus, Alev Taskin, 2014. "A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey," Transport Policy, Elsevier, vol. 36(C), pages 283-293.
    5. repec:hal:wpaper:hal-00827972 is not listed on IDEAS
    6. Díez-Mesa, Francisco & de Oña, Rocio & de Oña, Juan, 2018. "Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 1-13.
    7. Monchambert, Guillaume & de Palma, André, 2014. "Public transport reliability and commuter strategy," Journal of Urban Economics, Elsevier, vol. 81(C), pages 14-29.
    8. Tiago Camacho & Marcus Foth & Andry Rakotonirainy & Markus Rittenbruch & Jonathan Bunker, 2016. "The role of passenger-centric innovation in the future of public transport," Public Transport, Springer, vol. 8(3), pages 453-475, December.
    9. Wan, Dan & Kamga, Camille & Liu, Jun & Sugiura, Aaron & Beaton, Eric B., 2016. "Rider perception of a “light” Bus Rapid Transit system - The New York City Select Bus Service," Transport Policy, Elsevier, vol. 49(C), pages 41-55.
    10. Hernandez, Sara & Monzon, Andres & de Oña, Rocío, 2016. "Urban transport interchanges: A methodology for evaluating perceived quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 31-43.
    11. Aydin, Nezir & Celik, Erkan & Gumus, Alev Taskin, 2015. "A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 61-81.
    12. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.
    13. Neoh, Jun Guan & Chipulu, Maxwell & Marshall, Alasdair & Tewkesbury, Adam, 2018. "How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 128-148.
    14. Gustav Bösehans & Ian Walker, 2020. "Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory," Transportation, Springer, vol. 47(1), pages 243-273, February.
    15. Malik, Bilal Zia & Rehman, Zia ur & Khan, Ammad Hassan & Akram, Waseem, 2021. "Investigating users' travel behaviours and perceptions of single-corridor BRT: Lessons from Lahore," Journal of Transport Geography, Elsevier, vol. 91(C).
    16. Mohammadzadeh, Mohsen, 2020. "Exploring tertiary students' travel mode choices in Auckland: Insights and policy implications," Journal of Transport Geography, Elsevier, vol. 87(C).
    17. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    19. David P. Ashmore & Roselle Thoreau & Corina Kwami & Nicola Christie & Nicholas A. Tyler, 2020. "Using thematic analysis to explore symbolism in transport choice across national cultures," Transportation, Springer, vol. 47(2), pages 607-640, April.
    20. Daniel Oviedo & Lynn Scholl & Marco Innao & Lauramaria Pedraza, 2019. "Do Bus Rapid Transit Systems Improve Accessibility to Job Opportunities for the Poor? The Case of Lima, Peru," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    21. Jaroslav Burian & Lenka Zajíčková & Igor Ivan & Karel Macků, 2018. "Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities," Social Sciences, MDPI, vol. 7(6), pages 1-25, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2654-:d:757825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.