IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2023i1p143-d1305802.html
   My bibliography  Save this article

An Evaluation and Prioritization Framework for Pilot First- and Last-Mile Ridesharing Services

Author

Listed:
  • Lambros Mitropoulos

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Annie Kortsari

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Aikaterini Maria Fotiou

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Georgia Ayfantopoulou

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • David Golightly

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

Abstract

Ridesharing is part of the innovative shared transport regime which aims to maximize the utilization of mobility resources. Gaining knowledge of ridesharing’s impacts and how to assess them can significantly improve such services and thus contribute to their adoption among broader groups of travelers and to travel behavior change. This paper presents the framework deployed for assessing the impacts of a first-/last-mile ridesharing pilot in Athens, Greece, and capturing stakeholders’ (i.e., a researcher organization, a public authority and an infrastructure provider) point of view about planning objectives. Four impact areas are defined in total, and Key Performance Indicators (KPIs) are used. In parallel, in order to understand the stakeholder priorities when designing ridesharing services, the Analytical Hierarchical Process is implemented to estimate weights for each impact area. Increasing rail ridership is considered the top priority for all stakeholders during the planning phase for a first-/last-mile ridesharing service, which may have various implications for future initiatives. In total, 28 participants used the ridesharing service as drivers and passengers during the demonstration period. Results show that although a ridesharing service is expected to be an asset in daily transport for city travelers, the technological constraints currently burden its usage. However, as supported by demo results and travelers’ experience, there is great potential of ridesharing to contribute to a sustainable transport system and serve as a first- and last-mile solution to public transport.

Suggested Citation

  • Lambros Mitropoulos & Annie Kortsari & Aikaterini Maria Fotiou & Georgia Ayfantopoulou & David Golightly, 2023. "An Evaluation and Prioritization Framework for Pilot First- and Last-Mile Ridesharing Services," Sustainability, MDPI, vol. 16(1), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:143-:d:1305802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/1/143/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/1/143/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khandker Nurul Habib & Yuan Tian & Hamid Zaman, 2011. "Modelling commuting mode choice with explicit consideration of carpool in the choice set formation," Transportation, Springer, vol. 38(4), pages 587-604, July.
    2. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Lambros Mitropoulos & Annie Kortsari & Emy Apostolopoulou & Georgia Ayfantopoulou & Alexandros Deloukas, 2023. "Multimodal Traveling with Rail and Ride-Sharing: Lessons Learned during Planning and Demonstrating a Pilot Study," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    5. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    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. Yao, Jia & Cheng, Zhanhong & Shi, Feng & An, Shi & Wang, Jian, 2018. "Evaluation of exclusive bus lanes in a tri-modal road network incorporating carpooling behavior," Transport Policy, Elsevier, vol. 68(C), pages 130-141.
    2. 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.
    3. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    4. Miwa Matsuo, 2020. "Carpooling and drivers without household vehicles: gender disparity in automobility among Hispanics and non-Hispanics in the U.S," Transportation, Springer, vol. 47(4), pages 1631-1663, August.
    5. Benita, Francisco, 2020. "Carpool to work: Determinants at the county-level in the United States," Journal of Transport Geography, Elsevier, vol. 87(C).
    6. Wenyuan Zhou & Xuanrong Li & Zhenguo Shi & Bingjie Yang & Dongxu Chen, 2023. "Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    7. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-02113257, HAL.
    8. Ning Ma & Ziqiang Zeng & Yinhai Wang & Jiuping Xu, 2021. "Balanced strategy based on environment and user benefit-oriented carpooling service mode for commuting trips," Transportation, Springer, vol. 48(3), pages 1241-1266, June.
    9. Xiao, Lin & Wu, Jiyan & Sun, Jian & Tian, Ye, 2024. "Money is power: Carpooling stimulus with evidence from an interactive long-term laboratory experiment," Transport Policy, Elsevier, vol. 152(C), pages 55-70.
    10. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-04362193, HAL.
    11. Bo Yang & Shen Ren & Erika Fille Legara & Zengxiang Li & Edward Y. X. Ong & Louis Lin & Christopher Monterola, 2020. "Phase Transition in Taxi Dynamics and Impact of Ridesharing," Transportation Science, INFORMS, vol. 54(1), pages 250-273, January.
    12. Cylwik Stefan & Gabryelczyk Renata & Chlebus Marcin, 2020. "Ridesharing in the Polish Experience: A Study using Unified Theory of Acceptance and Use of Technology," Central European Economic Journal, Sciendo, vol. 7(54), pages 279-299, January.
    13. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    14. Meng Li & Guowei Hua & Haijun Huang, 2018. "A Multi-Modal Route Choice Model with Ridesharing and Public Transit," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    15. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    16. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    17. Moon, Ilkyeong & Feng, Xuehao, 2017. "Supply chain coordination with a single supplier and multiple retailers considering customer arrival times and route selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 78-97.
    18. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    19. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    20. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.

    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:gam:jsusta:v:16:y:2023:i:1:p:143-:d:1305802. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.