IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v92y2022ics0739885921000652.html
   My bibliography  Save this article

Modeling taxi drivers’ decisions at airport based on queueing theory

Author

Listed:
  • Jia, Wen
  • Huang, Yu-lin
  • Zhao, Qun
  • Qi, Yi

Abstract

Taxi is one important component of ground transportation at airports. Taxi drivers face two options after dropping off passengers: waiting to pick up passengers at the airport or ditching the airport and searching elsewhere for their next trips. Understanding how taxi drivers make decisions will not only benefit themselves but also benefit passengers. In addition, policies can be made to balance the taxi supply and demand at airports. In this research, a M/M/1/∞/N model was developed to investigate taxi drivers' decision-making mechanism based on queueing theory. By comparing the net income of these two options in the same time period, a better strategy could be selected. The model was then validated by a case study conducted at Yaoqiang International Airport in Jinan, China. With the model established, drivers' decisions in different time periods could be determined. By analyzing the model results, it was found that the results obtained by the model were consistent with the real-world situations. Furthermore, it was also discovered that taxi drivers’ decisions were strongly influenced by the number of flights taking off and landing in a certain period.

Suggested Citation

  • Jia, Wen & Huang, Yu-lin & Zhao, Qun & Qi, Yi, 2022. "Modeling taxi drivers’ decisions at airport based on queueing theory," Research in Transportation Economics, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:retrec:v:92:y:2022:i:c:s0739885921000652
    DOI: 10.1016/j.retrec.2021.101093
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885921000652
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2021.101093?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. Anil Yazici, M. & Kamga, Camille & Singhal, Abhishek, 2016. "Modeling taxi drivers’ decisions for improving airport ground access: John F. Kennedy airport case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 48-60.
    2. Wong, K. I. & Wong, S. C. & Yang, Hai, 2001. "Modeling urban taxi services in congested road networks with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 35(9), pages 819-842, November.
    3. Hai Yang & Yan Lau & Sze Wong & Hong Lo, 2000. "A macroscopic taxi model for passenger demand, taxi utilization and level of services," Transportation, Springer, vol. 27(3), pages 317-340, June.
    4. Wenbo Zhang & Satish V. Ukkusuri & Chao Yang, 2018. "Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    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. Mehmet Ozcalici, 2023. "Integrating queue theory and multi-criteria decision-making tools for selecting roll-over car washing machine," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(2), pages 99-119.

    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. Gholami, Ali & Taghizadeh, Yaser & Tian, Zong, 2014. "Classification of taxi khattee (jitney) lines based on topography and line cost indices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 239-249.
    2. Alonso, Borja & Barreda, Rosa & dell’Olio, Luigi & Ibeas, Angel, 2018. "Modelling user perception of taxi service quality," Transport Policy, Elsevier, vol. 63(C), pages 157-164.
    3. Long, Jiancheng & Szeto, W.Y. & Du, Jie & Wong, R.C.P., 2017. "A dynamic taxi traffic assignment model: A two-level continuum transportation system approach," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 222-254.
    4. Wong, R.C.P. & Szeto, W.Y., 2018. "An alternative methodology for evaluating the service quality of urban taxis," Transport Policy, Elsevier, vol. 69(C), pages 132-140.
    5. Aleksander Król & Małgorzata Król, 2019. "A Stochastic Simulation Model for the Optimization of the Taxi Management System," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    6. Wenbo Zhang & Satish V. Ukkusuri & Jian John Lu, 2017. "Impacts of urban built environment on empty taxi trips using limited geolocation data," Transportation, Springer, vol. 44(6), pages 1445-1473, November.
    7. Wong, K.I. & Wong, S.C. & Yang, Hai & Wu, J.H., 2008. "Modeling urban taxi services with multiple user classes and vehicle modes," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 985-1007, December.
    8. Yan, Pengyu & Yu, Kaize & Chao, Xiuli & Chen, Zhibin, 2023. "An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1218-1233.
    9. Ofentse Mokwena, 2016. "Paratransit Mesoeconomy: Control Measures From The Supply Side?," Proceedings of Economics and Finance Conferences 3205591, International Institute of Social and Economic Sciences.
    10. Ting Wang & Yong Zhang & Meiye Li & Lei Liu, 2019. "How Do Passengers with Different Using Frequencies Choose between Traditional Taxi Service and Online Car-Hailing Service? A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    11. Nourinejad, Mehdi & Ramezani, Mohsen, 2020. "Ride-Sourcing modeling and pricing in non-equilibrium two-sided markets," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 340-357.
    12. Yang, Zhuo & Franz, Mark L. & Zhu, Shanjiang & Mahmoudi, Jina & Nasri, Arefeh & Zhang, Lei, 2018. "Analysis of Washington, DC taxi demand using GPS and land-use data," Journal of Transport Geography, Elsevier, vol. 66(C), pages 35-44.
    13. Di, Xuan & Ban, Xuegang Jeff, 2019. "A unified equilibrium framework of new shared mobility systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 50-78.
    14. Berrada, Jaâfar & Poulhès, Alexis, 2021. "Economic and socioeconomic assessment of replacing conventional public transit with demand responsive transit services in low-to-medium density areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 317-334.
    15. Yang, Hai & Leung, Cowina W.Y. & Wong, S.C. & Bell, Michael G.H., 2010. "Equilibria of bilateral taxi-customer searching and meeting on networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1067-1083, September.
    16. Xiong, Ziyue & Jian Li, & Wu, Hangbin, 2021. "Understanding operation patterns of urban online ride-hailing services: A case study of Xiamen," Transport Policy, Elsevier, vol. 101(C), pages 100-118.
    17. Pueboobpaphan, Suthatip & Indra-Payoong, Nakorn & Opasanon, Sathaporn, 2019. "Experimental analysis of variable surcharge policy of taxi service auction," Transport Policy, Elsevier, vol. 76(C), pages 134-148.
    18. Yao, Jia & Chen, Anthony & Ryu, Seungkyu & Shi, Feng, 2014. "A general unconstrained optimization formulation for the combined distribution and assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 137-160.
    19. Wong, R.C.P. & Szeto, W.Y., 2022. "The effects of peak hour and congested area taxi surcharges on customers’ travel decisions: Empirical evidence and policy implications," Transport Policy, Elsevier, vol. 121(C), pages 78-89.
    20. Majid Zahiri & Jielun Liu & Xiqun (Michael) Chen, 2019. "Taxi Downsizing: A New Approach to Efficiency and Sustainability in the Taxi Industry," Sustainability, MDPI, vol. 11(18), pages 1-17, September.

    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:retrec:v:92:y:2022:i:c:s0739885921000652. 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/620614/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.