IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v15y2023i2d10.1007_s12469-022-00318-z.html
   My bibliography  Save this article

Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach

Author

Listed:
  • Hanumantha Rao Sama

    (Vignan’s Foundation for Science, Technology and Research (Deemed to be University))

  • Long-Sheng Chen

    (Chaoyang University of Technology)

  • Venkateswarlu Nalluri

    (Chaoyang University of Technology)

  • Madhavaiah Chendragiri

    (Pondicherry University)

Abstract

In order to encourage the use of public transportation, it is necessary to make it more appealing to commuters by conducting frequent Service Quality (SQ) evaluations and modifications. Understanding passengers’ expectations of public transportation are important, and evaluating the SQ is an essential tool for assessing the overall performance of the public transportation system. The purpose of the present study was to examine the expectations and perceptions of core passengers regarding SQ in public bus transportation. By surveying 598 passengers in rural public transportation in India, the study results are illustrated and further discussed to guide possible bus SQ improvements in rural areas. In addition, the impact of these expectations and perceptions on satisfaction levels of rural public bus transportation services are explored by applying the Interval-Valued Pythagorean Fuzzy (IVPF). The outcomes of the survey indicated significant disparities among expectations and perceptions of passengers, as well as widespread dissatisfaction with the delivery of bus services in rural areas as a whole. The dependability and adaptiveness of the bus service have been critical in describing the overall quality of bus services in rural areas, and best practices from around the world were used to develop a set of recommendations for transportation operators and local officials.

Suggested Citation

  • Hanumantha Rao Sama & Long-Sheng Chen & Venkateswarlu Nalluri & Madhavaiah Chendragiri, 2023. "Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach," Public Transport, Springer, vol. 15(2), pages 479-501, June.
  • Handle: RePEc:spr:pubtra:v:15:y:2023:i:2:d:10.1007_s12469-022-00318-z
    DOI: 10.1007/s12469-022-00318-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-022-00318-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12469-022-00318-z?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. Fu, Xue-mei & Zhang, Jiang-hua & Chan, Felix T.S., 2018. "Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 476-490.
    2. Aliya Fahmi & Fazli Amin & Saleem Abdullah & Asad Ali, 2019. "Approaches to Multi-Attribute Group Decision-Making Based on Trapezoidal Linguistic Uncertain Cubic Fuzzy TOPSIS Method," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 261-282, July.
    3. Imhof, Sebastian & Frölicher, Jonas & von Arx, Widar, 2020. "Shared Autonomous Vehicles in rural public transportation systems," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Md Rokibul Islam & Md Hadiuzzaman & Rajib Banik & Md Mehedi Hasnat & Sarder Rafee Musabbir & Sanjana Hossain, 2016. "Bus service quality prediction and attribute ranking: a neural network approach," Public Transport, Springer, vol. 8(2), pages 295-313, September.
    5. Chen, Lu & Li, Yong-Quan & Liu, Chih-Hsing, 2019. "How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 185-197.
    6. Jaime Torres Fragoso & Ignacio Luna Espinoza, 2017. "Assessment of banking service quality perception using the SERVPERF model," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1294-1316, Octubre-D.
    7. Dan Wan & Camille Kamga & Wei Hao & Aaron Sugiura & Eric B. Beaton, 2016. "Customer satisfaction with bus rapid transit: a study of New York City select bus service applying structural equation modeling," Public Transport, Springer, vol. 8(3), pages 497-520, December.
    8. 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.
    9. 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.
    10. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    11. Luyu Liu & Harvey J Miller & Jonathan Scheff, 2020. "The impacts of COVID-19 pandemic on public transit demand in the United States," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    12. Dongxu Liu & Chenxin Zhao & Hongzhao Dong & Zhi Huang, 2022. "Spatial analysis of bus rapid transit actual operating conditions: the case of Hangzhou City, China," Public Transport, Springer, vol. 14(2), pages 503-519, June.
    13. Ties Brands & Malvika Dixit & Edgard Zúñiga & Niels Oort, 2022. "Perceived and actual travel times in a multi-modal urban public transport network: comparing survey and AVL data," Public Transport, Springer, vol. 14(1), pages 85-103, March.
    14. Christian Martin Mützel & Joachim Scheiner, 2022. "Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data," Public Transport, Springer, vol. 14(2), pages 343-366, June.
    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. Panuwat Wisutwattanasak & Thanapong Champahom & Sajjakaj Jomnonkwao & Manlika Seefong & Kestsirin Theerathitichaipa & Rattanaporn Kasemsri & Vatanavongs Ratanavaraha, 2023. "Modeling Extended Service Quality for Public Transportation in the Post-Pandemic Period: Differentiating between Urban and Rural Areas: A Case Study of Intercity Railway, Thailand," Logistics, MDPI, vol. 7(4), pages 1-24, December.

    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. Gao, Yanan & Rasouli, Soora & Timmermans, Harry & Wang, Yuanqing, 2018. "Trip stage satisfaction of public transport users: A reference-based model incorporating trip attributes, perceived service quality, psychological disposition and difference tolerance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 759-775.
    2. 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.
    3. Quy Nguyen-Phuoc, Duy & Nguyen, Teron & Ngoc Su, Diep & Thi Le, Phuong & Oviedo-Trespalacios, Oscar, 2022. "How do social cues from other passengers affect word-of-mouth and intention to continue using bus services? A second-order SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 302-320.
    4. Ittamalla, Rajesh & Srinivas Kumar, Daruri Venkata, 2021. "Determinants of holistic passenger experience in public transportation: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    5. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    6. 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.
    7. Ni, Anning & Zhang, Chunqin & Hu, Yuting & Lu, Weite & Li, Hongwei, 2020. "Influence mechanism of the corporate image on passenger satisfaction with public transport in China," Transport Policy, Elsevier, vol. 94(C), pages 54-65.
    8. Parker, Madeleine E.G. & Li, Meiqing & Bouzaghrane, Mohamed Amine & Obeid, Hassan & Hayes, Drake & Frick, Karen Trapenberg & Rodríguez, Daniel A. & Sengupta, Raja & Walker, Joan & Chatman, Daniel G., 2021. "Public transit use in the United States in the era of COVID-19: Transit riders’ travel behavior in the COVID-19 impact and recovery period," Transport Policy, Elsevier, vol. 111(C), pages 53-62.
    9. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Muhamad Razuhanafi Mat Yazid & Sitti Asmah Hassan & Ahmad Firdhaus Arham & Sharizal Hashim, 2023. "Modelling of Passenger Satisfaction and Reuse Intention with Monorail Services in Kuala Lumpur, Malaysia: A Hybrid SEM-ANN Approach," Mathematics, MDPI, vol. 11(15), pages 1-21, August.
    10. Ahmad H. Alomari & Taisir S. Khedaywi & Asalah A. Jadah & Abdel Rahman O. Marian, 2022. "Evaluation of Public Transport among University Commuters in Rural Areas," Sustainability, MDPI, vol. 15(1), pages 1-32, December.
    11. Sun, Shichao & Duan, Zhengyu, 2019. "Modeling passengers’ loyalty to public transit in a two-dimensional framework: A case study in Xiamen, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 295-309.
    12. Md. Nazmul Huda Naim & Mohammed Sarfaraz Gani Adnan & Ashraf Dewan & Khatun E. Zannat, 2022. "Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis," Growth and Change, Wiley Blackwell, vol. 53(1), pages 377-409, March.
    13. Juan de Oña, 2022. "Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users," Transportation, Springer, vol. 49(1), pages 237-269, February.
    14. Eldeeb, Gamal & Mohamed, Moataz, 2022. "Consumers oriented investments in transit service quality improvements: The best bang for your buck," Research in Transportation Economics, Elsevier, vol. 94(C).
    15. 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.
    16. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Muhamad Razuhanafi Mat Yazid & Riza Atiq Rahmat & Sotaro Yukawa, 2021. "Factors Influencing Passengers’ Satisfaction with the Light Rail Transit Service in Alpha Cities: Evidence from Kuala Lumpur, Malaysia Using Structural Equation Modelling," Mathematics, MDPI, vol. 9(16), pages 1-15, August.
    17. 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).
    18. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    19. Eldeeb, Gamal & Mohamed, Moataz, 2020. "Quantifying preference heterogeneity in transit service desired quality using a latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 119-133.
    20. 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.

    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:spr:pubtra:v:15:y:2023:i:2:d:10.1007_s12469-022-00318-z. 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.