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Modeling taxi drivers’ decisions at airport based on queueing theory

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
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    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.
    2. Yang, Qiaoli & Fu, Xue, 2024. "An extended queueing model for vehicles at signalized intersections considering the platoon correlated arrivals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

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