IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v155y2022icp79-94.html
   My bibliography  Save this article

Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation

Author

Listed:
  • Baig, Farrukh
  • Zhang, Dong
  • Lee, Jaeyoung
  • Xu, Hongda

Abstract

The continuous increase in the elderly population and the need for disability-inclusive public transportation propelled authorities to implement policies to ensure seat availability for vulnerable users. Although most public transportation provides a few priority seats for vulnerable users, the seat availability problem remains due to its small quantity and its usage by normal passengers. To extend the theory of planned behavior (TPB), this study aims to evaluate how empathic concerns, attitude, injunctive norms, descriptive norms, and perceived behavioral control contribute to the behavioral intentions and actual conducts of yielding seats to vulnerable passengers with university students’ survey responses in China. A partial least square path modeling based structural equation modeling (SEM) approach is employed to test the postulated hypotheses. Findings reveal that empathic concerns significantly promote the yielding seat intention and, thus, the actual conduct through its impacts on attitude, injunctive norms, and perceived behavioral control. This study also aims at capturing sociodemographic heterogeneity through multi-group comparison. It is found that a university student passenger who is older or more educated perceives greater control about seat yielding behavior, positively influencing their intention to yield their seat to a vulnerable person. In addition, less frequent public transportation usage is found to significantly accompany a higher tendency to yield a seat when required. The implications of “soft measures” to support the transportation policy for a sustainable and disability-inclusive public transportation service are discussed accordingly.

Suggested Citation

  • Baig, Farrukh & Zhang, Dong & Lee, Jaeyoung & Xu, Hongda, 2022. "Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 79-94.
    • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:79-94
    DOI: 10.1016/j.tra.2021.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856421002834
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2021.11.004?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. Bamberg, Sebastian & Fujii, Satoshi & Friman, Margareta & Gärling, Tommy, 2011. "Behaviour theory and soft transport policy measures," Transport Policy, Elsevier, vol. 18(1), pages 228-235, January.
    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. Börjesson, Maria & Eliasson, Jonas & Hamilton, Carl, 2016. "Why experience changes attitudes to congestion pricing: The case of Gothenburg," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 1-16.
    4. Van, Hong Tan & Choocharukul, Kasem & Fujii, Satoshi, 2014. "The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 36-44.
    5. Monecke, Armin & Leisch, Friedrich, 2012. "semPLS: Structural Equation Modeling Using Partial Least Squares," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i03).
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    8. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    9. Winslott-Hiselius, Lena & Brundell-Freij, Karin & Vagland, Asa & Byström, Camilla, 2009. "The development of public attitudes towards the Stockholm congestion trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 269-282, March.
    10. Dastjerdi, Aliasghar Mehdizadeh & Kaplan, Sigal & de Abreu e Silva, Joao & Anker Nielsen, Otto & Camara Pereira, Francisco, 2019. "Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 114-135.
    11. Ben-Elia, Eran & Ettema, Dick, 2011. "Rewarding rush-hour avoidance: A study of commuters' travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 567-582, August.
    12. Grisé, Emily & Boisjoly, Geneviève & Maguire, Meadhbh & El-Geneidy, Ahmed, 2019. "Elevating access: Comparing accessibility to jobs by public transport for individuals with and without a physical disability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 280-293.
    13. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    14. Vanessa Stjernborg, 2019. "Accessibility for All in Public Transport and the Overlooked (Social) Dimension—A Case Study of Stockholm," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    15. 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.
    16. 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.
    17. Schikofsky, Jan & Dannewald, Till & Kowald, Matthias, 2020. "Exploring motivational mechanisms behind the intention to adopt mobility as a service (MaaS): Insights from Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 296-312.
    18. Liu, Diyi & Du, Huibin & Southworth, Frank & Ma, Shoufeng, 2017. "The influence of social-psychological factors on the intention to choose low-carbon travel modes in Tianjin, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 42-53.
    19. Martens, Karel, 2018. "Ageing, impairments and travel: Priority setting for an inclusive transport system," Transport Policy, Elsevier, vol. 63(C), pages 122-130.
    20. Bennett, Roger & Vijaygopal, Rohini & Kottasz, Rita, 2019. "Attitudes towards autonomous vehicles among people with physical disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 1-17.
    21. Dong Zhang & Jan-Dirk Schmöcker & Satoshi Fujii & Xiaoguang Yang, 2016. "Social norms and public transport usage: empirical study from Shanghai," Transportation, Springer, vol. 43(5), pages 869-888, September.
    22. Li, Yaping & Guo, Yuntao & Lu, Jian & Peeta, Srinivas, 2019. "Impacts of congestion pricing and reward strategies on automobile travelers’ morning commute mode shift decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 72-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Farrukh Baig & Konstantinos Kirytopoulos & Jaeyoung Lee & Evangelos Tsamilis & Ruizhi Mao & Panagiotis Ntzeremes, 2022. "Changes in People’s Mobility Behavior in Greece after the COVID-19 Outbreak," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    2. Silvia Saleh & Anusree Saha Tithi & Nazmus Sakib & Tonmoy Paul & Nafis Anwari & Shohel Amin, 2023. "Theory of Planned Behavior to Understand Commuter’s Perception towards Mass Rapid Transit in Dhaka City, Bangladesh," Sustainability, MDPI, vol. 15(14), pages 1-18, July.

    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. 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.
    2. Farrukh Baig & Konstantinos Kirytopoulos & Jaeyoung Lee & Evangelos Tsamilis & Ruizhi Mao & Panagiotis Ntzeremes, 2022. "Changes in People’s Mobility Behavior in Greece after the COVID-19 Outbreak," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    3. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    4. Sudarsan Jayasingh & T. Girija & Sivakumar Arunkumar, 2021. "Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    5. Leiming Li & Yu Zhang, 2023. "An extended theory of planned behavior to explain the intention to use carsharing: a multi-group analysis of different sociodemographic characteristics," Transportation, Springer, vol. 50(1), pages 143-181, February.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Milenković, Marina & Glavić, Draženko & Maričić, Milica, 2019. "Determining factors affecting congestion pricing acceptability," Transport Policy, Elsevier, vol. 82(C), pages 58-74.
    12. 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.
    13. 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.
    14. Hsieh, Hsu-Sheng, 2020. "Transport policy evaluation based on elasticity analysis with social interactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 273-296.
    15. 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.
    16. 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.
    17. 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.
    18. 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).
    19. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Determinants of adoption intention of battery swap technology for electric vehicles," Energy, Elsevier, vol. 251(C).
    20. Maria Carmela Aprile & Gennaro Punzo, 2023. "Young People and Nature: What Drives Underlying Behavioural Intentions towards Protected Areas Conservation?," Sustainability, MDPI, vol. 15(15), pages 1-27, August.

    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:eee:transa:v:155:y:2022:i:c:p:79-94. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.