IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v53y2022i1p377-409.html
   My bibliography  Save this article

Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis

Author

Listed:
  • Md. Nazmul Huda Naim
  • Mohammed Sarfaraz Gani Adnan
  • Ashraf Dewan
  • Khatun E. Zannat

Abstract

The accurate evaluation of public transport (PT) services in developing countries is a challenging task due to a lack of reliable data and formal guidelines. The aim of this study was to develop a framework addressing these data limitations and quantify PT performance using output‐oriented Data Envelopment Analysis (DEA). The local bus service operation of Chattogram City Corporation area of Bangladesh was used as a case study. A performance assessment inventory was developed identifying the major stakeholders related to local bus service operations. The relative efficiencies of different bus routes (from users' and operators' perspectives) were estimated using the DEA model, which incorporated data from a semi‐structured questionnaire survey linked with the inventory. The PT authority also ranked all bus routes according to their degree of efficiency. Results indicated that relative efficiency scores in various routes varied according to the stakeholders' perspectives. A range of different parameters were considered when evaluating the performance of the service. The proposed inventory and framework would be useful for policymakers and urban planners in sequencing and prioritising different routes. This optimisation process would provide improved transport services to the general public.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:growch:v:53:y:2022:i:1:p:377-409
    DOI: 10.1111/grow.12588
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12588
    Download Restriction: no
    File URL: https://libkey.io/10.1111/grow.12588?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
    ---><---

    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Agha Iqbal Ali & Catherine Lerme, 1997. "Comparative advantage and disadvantage in DEA," Annals of Operations Research, Springer, vol. 73(0), pages 215-232, October.
    3. Badami, Madhav G. & Haider, Murtaza, 2007. "An analysis of public bus transit performance in Indian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 961-981, December.
    4. 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.
    5. Kerstens, K., 1996. "Technical efficiency measurement and explanation of French urban transit companies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 431-452, November.
    6. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
    7. Adler, Nicole & Berechman, Joseph, 2001. "Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis," Transport Policy, Elsevier, vol. 8(3), pages 171-181, July.
    8. Huq, Ferdous Farhana & Holvoet, Nathalie & Huq, Mazharul, 2020. "Application of mobile technology in monitoring and evaluation of household water security for Dhaka city," Technology in Society, Elsevier, vol. 62(C).
    9. 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.
    10. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    11. Wei, Ran & Liu, Xiaoyue & Mu, Yongjian & Wang, Liming & Golub, Aaron & Farber, Steven, 2017. "Evaluating public transit services for operational efficiency and access equity," Journal of Transport Geography, Elsevier, vol. 65(C), pages 70-79.
    12. 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.
    13. Zhang, Chunqin & Juan, Zhicai & Luo, Qingyu & Xiao, Guangnian, 2016. "Performance evaluation of public transit systems using a combined evaluation method," Transport Policy, Elsevier, vol. 45(C), pages 156-167.
    14. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    15. Daniel (Jian) Sun & Shukai Chen & Chun Zhang & Suwan Shen, 2016. "A bus route evaluation model based on GIS and super-efficient data envelopment analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 407-423, June.
    16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    17. Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
    18. Somayeh Alizadeh & Mahsa Safi, 2020. "A new model for efficiency evaluation of a bus fleet by window analysis in DEA and data mining," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(1), pages 62-77, January.
    19. Benjamin, Julian & Obeng, Kofi, 1990. "The effect of policy and background variables on total factor productivity for public transit," Transportation Research Part B: Methodological, Elsevier, vol. 24(1), pages 1-14, February.
    20. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
    21. Zhang, Chunqin & Juan, Zhicai & Xiao, Guangnian, 2015. "Do contractual practices affect technical efficiency? Evidence from public transport operators in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 39-55.
    22. 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.
    23. 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.
    24. Eboli, Laura & Mazzulla, G., 2008. "Willingness-to-pay of public transport users for improvement in service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 38, pages 107-118.
    25. Hirschhorn, Fabio & Veeneman, Wijnand & van de Velde, Didier, 2018. "Inventory and rating of performance indicators and organisational features in metropolitan public transport: A worldwide Delphi survey," Research in Transportation Economics, Elsevier, vol. 69(C), pages 144-156.
    26. Yeh, Chung-Hsing & Deng, Hepu & Chang, Yu-Hern, 2000. "Fuzzy multicriteria analysis for performance evaluation of bus companies," European Journal of Operational Research, Elsevier, vol. 126(3), pages 459-473, November.
    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. Ahmed Derbel & Younes Boujelbene, 2023. "Performance classification of Tunisian public transport operators," Public Transport, Springer, vol. 15(2), pages 535-574, June.

    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. Hassan, Mohammad Nurul & Hawas, Yaser E. & Ahmed, Kamran, 2013. "A multi-dimensional framework for evaluating the transit service performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 47-61.
    2. 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.
    3. 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.
    4. Liou, James J.H. & Hsu, Chao-Che & Chen, Yun-Shen, 2014. "Improving transportation service quality based on information fusion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 225-239.
    5. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    6. Zhang, Chunqin & Xiao, Guangnian & Liu, Yong & Yu, Feng, 2018. "The relationship between organizational forms and the comprehensive effectiveness for public transport services in China?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 783-802.
    7. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    8. 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.
    9. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    10. Chunqin Zhang & Daoyou Wang & Anning Ni & Xunyou Ni & Guangnian Xiao, 2019. "Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China," Sustainability, MDPI, vol. 11(19), pages 1-21, October.
    11. Echaniz, Eneko & dell’Olio, Luigi & Ibeas, Ángel, 2018. "Modelling perceived quality for urban public transport systems using weighted variables and random parameters," Transport Policy, Elsevier, vol. 67(C), pages 31-39.
    12. Benedetto Barabino & Nicola Aldo Cabras & Claudio Conversano & Alessandro Olivo, 2020. "An Integrated Approach to Select Key Quality Indicators in Transit Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 1045-1080, June.
    13. Yao, Di & Xu, Liqun & Li, Jinpei, 2020. "Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 77-96.
    14. Zhang, Chunqin & Juan, Zhicai & Lu, Weite & Xiao, Guangnian, 2016. "Do the organizational forms affect passenger satisfaction? Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 129-148.
    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. 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.
    17. 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.
    18. Brida, Juan Gabriel & Deidda, Manuela & Pulina, Manuela, 2014. "Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol," Journal of Transport Geography, Elsevier, vol. 36(C), pages 1-11.
    19. Merkert, Rico & Mulley, Corinne & Hakim, Md Mahbubul, 2017. "Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 75-88.
    20. Zhang, Chunqin & Juan, Zhicai & Luo, Qingyu & Xiao, Guangnian, 2016. "Performance evaluation of public transit systems using a combined evaluation method," Transport Policy, Elsevier, vol. 45(C), pages 156-167.

    More about this item

    Statistics

    Access and download statistics

    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:bla:growch:v:53:y:2022:i:1:p:377-409. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.