IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v113y2018icp184-196.html
   My bibliography  Save this article

Using three-factor theory to identify improvement priorities for express and local bus services: An application of regression with dummy variables in the Twin Cities

Author

Listed:
  • Wu, Xinyi
  • Cao, Jason
  • Huting, Joel

Abstract

To overcome the limitations of importance-performance analysis, this study employs the three-factor theory to identify transit service attributes that critically impact overall satisfaction of express and local bus riders. Specifically, Using the 2014 Transit Rider Survey in the Twin Cities, we examine how the performance of service attributes rewards and penalizes riders’ overall satisfaction with express and local buses, and classify these attributes into three factors based on their respective contributions to overall satisfaction. We then integrate the factor structure with their average performances to identify improvement priorities. We found that both the importance of service attributes to the overall satisfaction and the improvement priorities differ between express and local buses. Among the tested attributes, “vehicles are comfortable”, “total travel time is reasonable”, and “reliability” should be addressed first for both local and express buses.

Suggested Citation

  • Wu, Xinyi & Cao, Jason & Huting, Joel, 2018. "Using three-factor theory to identify improvement priorities for express and local bus services: An application of regression with dummy variables in the Twin Cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 184-196.
    • Handle: RePEc:eee:transa:v:113:y:2018:i:c:p:184-196
    DOI: 10.1016/j.tra.2018.04.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417311011
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2018.04.003?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. Nathanail, Eftihia, 2008. "Measuring the quality of service for passengers on the hellenic railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 48-66, January.
    2. Kurt Matzler & Elmar Sauerwein & Kenneth Heischmidt, 2003. "Importance-performance analysis revisited: the role of the factor structure of customer satisfaction," The Service Industries Journal, Taylor & Francis Journals, vol. 23(2), pages 112-129, March.
    3. 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.
    4. Guirao, Begoña & García-Pastor, Antonio & López-Lambas, María Eugenia, 2016. "The importance of service quality attributes in public transportation: Narrowing the gap between scientific research and practitioners' needs," Transport Policy, Elsevier, vol. 49(C), pages 68-77.
    5. Stradling, Stephen G. & Anable, Jillian & Carreno, Michael, 2007. "Performance, importance and user disgruntlement: A six-step method for measuring satisfaction with travel modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 98-106, January.
    6. van Lierop, Dea & El-Geneidy, Ahmed, 2016. "Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit," Research in Transportation Economics, Elsevier, vol. 59(C), pages 50-59.
    7. Shen, Weiwei & Xiao, Weizhou & Wang, Xin, 2016. "Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares," Transport Policy, Elsevier, vol. 46(C), pages 20-31.
    8. 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.
    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. Kar, Manaswinee & Sadhukhan, Shubhajit & Parida, Manoranjan, 2022. "Assessing commuters’ perceptions towards improvement of intermediate public transport as access modes to metro stations," Transport Policy, Elsevier, vol. 129(C), pages 140-155.
    2. Raky Julio & Andres Monzon & Yusak O. Susilo, 2024. "Identifying key elements for user satisfaction of bike-sharing systems: a combination of direct and indirect evaluations," Transportation, Springer, vol. 51(2), pages 407-438, April.
    3. Tuan, Vu Anh & Van Truong, Nguyen & Tetsuo, Shimizu & An, Nguyen Ngoc, 2022. "Public transport service quality: Policy prioritization strategy in the importance-performance analysis and the three-factor theory frameworks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 118-134.
    4. 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).
    5. Pengxiang Ding & Suwei Feng & Jianning Jiang, 2023. "The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers’ Safety Perception," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    6. Elina Dace & Agnis Stibe & Lelde Timma, 2020. "A holistic approach to manage environmental quality by using the Kano model and social cognitive theory," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 430-443, March.
    7. Khatun, Farzana & Saphores, Jean-Daniel, 2023. "Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    8. Chee, Pei Nen Esther & Susilo, Yusak O. & Wong, Yiik Diew, 2020. "Determinants of intention-to-use first-/last-mile automated bus service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 350-375.
    9. Sun, Shichao & Zhang, Hui & Zhou, Linlin & Wang, Ke, 2023. "Is the relationship between the perceived service quality and passenger loyalty linear or non-linear? A novel model-independent interpretation method is applied," Transport Policy, Elsevier, vol. 144(C), pages 65-79.
    10. Sun, Shichao & Xu, Lingyu & Yao, Yukun & Duan, Zhengyu, 2021. "Investigating the determinants to retain spurious-loyalty passengers: A data-fusion based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 70-83.
    11. Wen Tu Zhang & Il Young Choi & Yun Joo Hyun & Jae Kyeong Kim, 2022. "Hotel Service Analysis by Penalty-Reward Contrast Technique for Online Review Data," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
    12. Qi Zhang & Zhenhua Zheng & Dezhi Kang & Ying Zhou & Yifeng Zhang & Xu Zhang, 2023. "Prioritizing Neighbourhood Amenities to Enhance Neighbourhood Satisfaction: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 20(4), pages 1-33, February.

    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. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.
    2. Iván Manuel Mendoza-Arango & Eneko Echaniz & Luigi dell’Olio & Eduardo Gutiérrez-González, 2020. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    3. Sun, Fan & Jin, Minjie & Zhang, Tao & Huang, Wencheng, 2022. "Satisfaction differences in bus traveling among low-income individuals before and after COVID-19," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 311-332.
    4. Weiya Chen & Zixuan Kang & Xiaoping Fang & Jiajia Li, 2020. "Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    5. Esmailpour, Javad & Aghabayk, Kayvan & Aghajanzadeh, Mohammad & De Gruyter, Chris, 2022. "Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 80-103.
    6. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    7. Juan de Oña & Rocio de Oña, 2015. "Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches," Transportation Science, INFORMS, vol. 49(3), pages 605-622, August.
    8. Esmailpour, Javad & Aghabayk, Kayvan & Abrari Vajari, Mohammad & De Gruyter, Chris, 2020. "Importance – Performance Analysis (IPA) of bus service attributes: A case study in a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 129-150.
    9. 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.
    10. Jesper Bláfoss Ingvardson & Otto Anker Nielsen, 2022. "The influence of vicinity to stations, station characteristics and perceived safety on public transport mode choice: a case study from Copenhagen," Public Transport, Springer, vol. 14(2), pages 459-480, June.
    11. Sajjakaj Jomnonkwao & Thanapong Champahom & Vatanavongs Ratanavaraha, 2020. "Methodologies for Determining the Service Quality of the Intercity Rail Service Based on Users’ Perceptions and Expectations in Thailand," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    12. Rong, Rui & Liu, Lishan & Jia, Ning & Ma, Shoufeng, 2022. "Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 80-100.
    13. Sun, Shichao & Zhang, Hui & Zhou, Linlin & Wang, Ke, 2023. "Is the relationship between the perceived service quality and passenger loyalty linear or non-linear? A novel model-independent interpretation method is applied," Transport Policy, Elsevier, vol. 144(C), pages 65-79.
    14. Diep Ngoc Su & Duy Quy Nguyen-Phuoc & Lester W. Johnson, 2021. "Effects of perceived safety, involvement and perceived service quality on loyalty intention among ride-sourcing passengers," Transportation, Springer, vol. 48(1), pages 369-393, February.
    15. Ghosh, Piyali & Ojha, Mohit Kr. & Geetika,, 2017. "Determining passenger satisfaction out of platform-based amenities: A study of Kanpur Central Railway Station," Transport Policy, Elsevier, vol. 60(C), pages 108-118.
    16. Nattiya Wonglakorn & Vatanavongs Ratanavaraha & Ampol Karoonsoontawong & Sajjakaj Jomnonkwao, 2021. "Exploring Passenger Loyalty and Related Factors for Urban Railways in Thailand," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    17. Chuenyindee, Thanatorn & Ong, Ardvin Kester S. & Ramos, Jon Pauline & Prasetyo, Yogi Tri & Nadlifatin, Reny & Kurata, Yoshiki B. & Sittiwatethanasiri, Thaninrat, 2022. "Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic," Utilities Policy, Elsevier, vol. 75(C).
    18. 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.
    19. Yuning Wang & Zhe Zhang & Mengyuan Zhu & Hexian Wang, 2020. "The Impact of Service Quality and Customer Satisfaction on Reuse Intention in Urban Rail Transit in Tianjin, China," SAGE Open, , vol. 10(1), pages 21582440198, January.
    20. Sajjakaj Jomnonkwao & Chinnakrit Banyong & Supanida Nanthawong & Thananya Janhuaton & Vatanavongs Ratanavaraha & Thanapong Champahom & Pornsiri Jongkol, 2022. "Perceptions of Parents of the Quality of the Public Transport Services Used by Children to Commute to School," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

    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:113:y:2018:i:c:p:184-196. 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.