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Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving

Author

Listed:
  • Antonio Martinez-Sykora

    (University of Southampton)

  • Fraser McLeod

    (University of Southampton)

  • Carlos Lamas-Fernandez

    (University of Southampton)

  • Tolga Bektaş

    (University of Liverpool)

  • Tom Cherrett

    (University of Southampton)

  • Julian Allen

    (University of Westminster)

Abstract

Inspired by actual parcel delivery operations in London, this paper describes a two-echelon distribution system that combines the use of driving and walking as part of last-mile deliveries in urban areas for a single driver. The paper presents an optimisation model that explicitly treats and integrates the driving and walking elements, and describes a branch-and-cut algorithm that uses new valid inequalities specifically tailored for the problem at hand. Computational results based on real instances obtained from a courier operating in London are presented to show the performance of the algorithm.

Suggested Citation

  • Antonio Martinez-Sykora & Fraser McLeod & Carlos Lamas-Fernandez & Tolga Bektaş & Tom Cherrett & Julian Allen, 2020. "Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving," Annals of Operations Research, Springer, vol. 295(2), pages 645-693, December.
    • Handle: RePEc:spr:annopr:v:295:y:2020:i:2:d:10.1007_s10479-020-03781-8
    DOI: 10.1007/s10479-020-03781-8
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    References listed on IDEAS

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    Cited by:

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    4. Paddeu, Daniela & Parkhurst, Graham & Rosenberg, Ges & Carhart, Neil & Taylor, Colin, 2024. "Promoting sustainable urban freight through stakeholder engagement to co-create decarbonisation pathways in the UK," Research in Transportation Economics, Elsevier, vol. 104(C).
    5. Orhan, Cosku Can & Goez, Julio Cesar & Guajardo, Mario & Osicka, Ondrej & Wallace, Stein W., 2024. "Assessing macro effects of freight consolidation on the livability of small cities using vehicle routing as micro models: The case of Bergen, Norway," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    6. Francesco Ciardiello & Andrea Genovese & Shucheng Luo & Antonino Sgalambro, 2023. "A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres," Annals of Operations Research, Springer, vol. 324(1), pages 663-686, May.
    7. Tomáš Settey & Jozef Gnap & Dominika Beňová & Michal Pavličko & Oľga Blažeková, 2021. "The Growth of E-Commerce Due to COVID-19 and the Need for Urban Logistics Centers Using Electric Vehicles: Bratislava Case Study," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    8. Muriel, Juan E. & Zhang, Lele & Fransoo, Jan C. & Villegas, Juan G., 2024. "A reinforcement learning framework for improving parking decisions in last-mile delivery," Other publications TiSEM b3811dad-50fa-486b-8255-3, Tilburg University, School of Economics and Management.
    9. Muriel, Juan E. & Zhang, Lele & Fransoo, Jan C. & Perez-Franco, Roberto, 2022. "Assessing the impacts of last mile delivery strategies on delivery vehicles and traffic network performance," Other publications TiSEM 2285ee7b-0482-4f8e-849b-1, Tilburg University, School of Economics and Management.
    10. Bayliss, Christopher & Bektaş, Tolga & Tjon-Soei-Len, Vernon & Rohner, Remo, 2023. "Designing a multi-modal and variable-echelon delivery system for last-mile logistics," European Journal of Operational Research, Elsevier, vol. 307(2), pages 645-662.

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