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The flexible airport bus and last-mile ride-sharing problem: Math-heuristic and metaheuristic approaches

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  • He, Ping
  • Jin, Jian Gang
  • Schulte, Frederik

Abstract

Airport buses play a crucial role in addressing the last-mile problem of air travel, especially in cities and countries lacking inner-city rail transit systems. Nevertheless, airport buses are currently witnessing a decline in ridership due to drawbacks such as long departure intervals, inflexible stops, and considerable distances between stops. Consequently, delivering high-quality airport bus services has become a pressing concern for public transport operators. Motivated by new flexible buses and ride-sharing services, this paper explores a flexible airport bus service that integrates ride-sharing services for passengers traveling from bus stops to their destinations. This problem entails integrated decisions involving bus stop selection, passenger assignment to drop-off bus stops, as well as bus and ride-sharing routing. Accordingly, this problem presents more challenges in decision-making than traditional flexible bus or ride-sharing routing problems. We first develop an arc-based mixed-integer linear programming model. Subsequently, we design a double decomposition math-heuristic algorithm that builds upon logic-based Benders decomposition and column generation algorithms to obtain a near-optimal solution within practical computation time limits for practical-scale instances. Additionally, we implement an adaptive large neighborhood search algorithm to evaluate the solution quality of this math-heuristic algorithm and to solve large-scale instances. To validate the effectiveness of both the model and the algorithms, we conduct numerical experiments using instances derived from Shenzhen airport bus lines. The experimental results demonstrate that the flexible service mode offers significant advantages in reducing both passenger ride time and vehicle mileage over traditional airport bus or taxi modes.

Suggested Citation

  • He, Ping & Jin, Jian Gang & Schulte, Frederik, 2024. "The flexible airport bus and last-mile ride-sharing problem: Math-heuristic and metaheuristic approaches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:transe:v:184:y:2024:i:c:s1366554524000796
    DOI: 10.1016/j.tre.2024.103489
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    as
    1. Li, Yantong & Côté, Jean-François & Coelho, Leandro C. & Zhang, Chuang & Zhang, Shuai, 2023. "Order assignment and scheduling under processing and distribution time uncertainty," European Journal of Operational Research, Elsevier, vol. 305(1), pages 148-163.
    2. Tony T. Tran & Arthur Araujo & J. Christopher Beck, 2016. "Decomposition Methods for the Parallel Machine Scheduling Problem with Setups," INFORMS Journal on Computing, INFORMS, vol. 28(1), pages 83-95, February.
    3. Ma, Tai-Yu & Rasulkhani, Saeid & Chow, Joseph Y.J. & Klein, Sylvain, 2019. "A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 417-442.
    4. Liu, Zhaocai & Wang, Qichao & Sigler, Devon & Kotz, Andrew & Kelly, Kenneth J. & Lunacek, Monte & Phillips, Caleb & Garikapati, Venu, 2023. "Data-driven simulation-based planning for electric airport shuttle systems: A real-world case study," Applied Energy, Elsevier, vol. 332(C).
    5. Hai Wang, 2019. "Routing and Scheduling for a Last-Mile Transportation System," Service Science, INFORMS, vol. 53(1), pages 131-147, February.
    6. Kim, Myungseob (Edward) & Schonfeld, Paul, 2014. "Integration of conventional and flexible bus services with timed transfers," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 76-97.
    7. Akar, Gulsah, 2013. "Ground access to airports, case study: Port Columbus International Airport," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 25-31.
    8. Bian, Zheyong & Liu, Xiang, 2019. "Mechanism design for first-mile ridesharing based on personalized requirements part I: Theoretical analysis in generalized scenarios," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 147-171.
    9. Bian, Zheyong & Liu, Xiang, 2019. "Mechanism design for first-mile ridesharing based on personalized requirements part II: Solution algorithm for large-scale problems," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 172-192.
    10. Currie, Graham & Wallis, Ian, 2008. "Effective ways to grow urban bus markets – a synthesis of evidence," Journal of Transport Geography, Elsevier, vol. 16(6), pages 419-429.
    11. Lu Zhen & Xueting He & Shuaian Wang & Jingwen Wu & Kai Liu, 2023. "Vehicle routing for customized on-demand bus services," IISE Transactions, Taylor & Francis Journals, vol. 55(12), pages 1277-1294, December.
    12. Moshe Dror, 1994. "Note on the Complexity of the Shortest Path Models for Column Generation in VRPTW," Operations Research, INFORMS, vol. 42(5), pages 977-978, October.
    13. Ma, Jiaxin & Chen, Xumei & Xing, Ziwen & Zhang, Yixin & Yu, Lei, 2023. "Improving the performance of airport shuttle through demand-responsive service with dynamic fare strategy considering mixed demand," Journal of Air Transport Management, Elsevier, vol. 112(C).
    14. Lee, Enoch & Cen, Xuekai & Lo, Hong K., 2022. "Scheduling zonal-based flexible bus service under dynamic stochastic demand and Time-dependent travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
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