IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v44y2017i5d10.1007_s11116-016-9692-8.html
   My bibliography  Save this article

Understanding public transit use behavior: integration of the theory of planned behavior and the customer satisfaction theory

Author

Listed:
  • Xuemei Fu

    (Shanghai Jiao Tong University)

  • Zhicai Juan

    (Shanghai Jiao Tong University)

Abstract

Understanding the motivations underlying transport mode choice is of paramount importance for interventions directed towards travel behavior change. This study presents a model of a comprehensive psychological process on individual’s public transit use decision-making, which is accomplished by the integration of the theory of planned behavior and the customer satisfaction theory. The empirical examination supports the validity of this integrated framework to model public transit use behavior, with a set of hypothesized cause-and-effect relationships among the concerned psychological constructs being confirmed. This model is expected to provide useful implications for transport policies in order to retain the current passengers as well as to attract new users in the future, e.g., how to satisfy passengers with their expected quality of public transit service.

Suggested Citation

  • Xuemei Fu & Zhicai Juan, 2017. "Understanding public transit use behavior: integration of the theory of planned behavior and the customer satisfaction theory," Transportation, Springer, vol. 44(5), pages 1021-1042, September.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:5:d:10.1007_s11116-016-9692-8
    DOI: 10.1007/s11116-016-9692-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-016-9692-8
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-016-9692-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    2. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Tri Joewono & Hisashi Kubota, 2007. "User satisfaction with paratransit in competition with motorization in indonesia: anticipation of future implications," Transportation, Springer, vol. 34(3), pages 337-354, May.
    5. 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.
    6. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    7. 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.
    8. Sebastian Bamberg & Daniel Rölle & Christoph Weber, 2003. "Does habitual car use not lead to more resistance to change of travel mode?," Transportation, Springer, vol. 30(1), pages 97-108, February.
    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. William Jen & Kai-Chieh Hu, 2003. "Application of perceived value model to identify factors affecting passengers' repurchase intentions on city bus: A case of the Taipei metropolitan area," Transportation, Springer, vol. 30(3), pages 307-327, August.
    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. Fu, Xuemei & Juan, Zhicai, 2017. "Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 70-82.
    2. Juan Oña & Rocío Oña, 2023. "Is it possible to attract private vehicle users towards public transport? Understanding the key role of service quality, satisfaction and involvement on behavioral intentions," Transportation, Springer, vol. 50(3), pages 1073-1101, June.
    3. Niu, Zhipeng & Hu, Xiaowei & Qi, Shouming & Yang, Haihua & Wang, Siqing & An, Shi, 2021. "Determinants to parking mode alternatives: A model integrating technology acceptance model and satisfaction–loyalty model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 216-234.
    4. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    5. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    6. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    7. Chen, Ching-Fu & Lai, Wen-Tai, 2011. "The effects of rational and habitual factors on mode choice behaviors in a motorcycle-dependent region: Evidence from Taiwan," Transport Policy, Elsevier, vol. 18(5), pages 711-718, September.
    8. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    9. de Oña, Juan & Estévez, Esperanza & de Oña, Rocío, 2021. "How does private vehicle users perceive the public transport service quality in large metropolitan areas? A European comparison," Transport Policy, Elsevier, vol. 112(C), pages 173-188.
    10. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    11. Muhammad Yaseen Bhutto & Yasir Ali Soomro & Hailan Yang, 2022. "Extending the Theory of Planned Behavior: Predicting Young Consumer Purchase Behavior of Energy-Efficient Appliances (Evidence From Developing Economy)," SAGE Open, , vol. 12(1), pages 21582440221, February.
    12. Long, Xingle & Chen, Yaqiong & Du, Jianguo & Oh, Keunyeob & Han, Insoo, 2017. "Environmental innovation and its impact on economic and environmental performance: Evidence from Korean-owned firms in China," Energy Policy, Elsevier, vol. 107(C), pages 131-137.
    13. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    14. Jinkyung Jenny Kim & Heesup Han, 2022. "Hotel Service Innovation with Smart Technologies: Exploring Consumers’ Readiness and Behaviors," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    15. Chien-Chi Lin & Chih-Ming Dong, 2023. "Exploring Consumers’ Purchase Intention on Energy-Efficient Home Appliances: Integrating the Theory of Planned Behavior, Perceived Value Theory, and Environmental Awareness," Energies, MDPI, vol. 16(6), pages 1-16, March.
    16. Chuanhui Liao & Hui Li, 2019. "Environmental Education, Knowledge, and High School Students’ Intention toward Separation of Solid Waste on Campus," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    17. Andriosopoulos, Kostas & Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2018. "The impact of age on Italian consumers' attitude toward alternative fuel vehicles," Renewable Energy, Elsevier, vol. 119(C), pages 299-308.
    18. de Oña, Juan, 2020. "The role of involvement with public transport in the relationship between service quality, satisfaction and behavioral intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 296-318.
    19. Secinaro, Silvana & Calandra, Davide & Lanzalonga, Federico & Ferraris, Alberto, 2022. "Electric vehicles’ consumer behaviours: Mapping the field and providing a research agenda," Journal of Business Research, Elsevier, vol. 150(C), pages 399-416.
    20. Hu, Xianfeng & Wang, Shanyong & Zhou, Rongting & Gao, Lan & Zhu, Zujun, 2023. "Policy driven or consumer trait driven? Unpacking the EVs purchase intention of consumers from the policy and consumer trait perspective," Energy Policy, Elsevier, vol. 177(C).

    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:kap:transp:v:44:y:2017:i:5:d:10.1007_s11116-016-9692-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.