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A multi-criteria large neighbourhood search for the transportation of disabled people

Author

Listed:
  • Fabien Lehuédé

    (LUNAM Université, École des Mines de Nantes, Nantes, France)

  • Renaud Masson

    (LUNAM Université, École des Mines de Nantes, Nantes, France)

  • Sophie N Parragh

    (University of Vienna, Vienna, Austria)

  • Olivier Péton

    (LUNAM Université, École des Mines de Nantes, Nantes, France)

  • Fabien Tricoire

    (1] University of Vienna, Vienna, Austria[2] NICTA/UNSW, Sydney, Australia)

Abstract

This paper addresses the problem of optimizing the transportation of disabled persons from home to specialized centres or schools. It is modelled as a Dial-a-ride problem (DARP), where several people share the same destination. Particular emphasis is placed on the objective function in order to consider several potentially conflicting interests. We propose a multi-criteria model from Multi-attribute Utility Theory based on the Choquet integral. The resulting multi-criteria DARP is then solved with a large neighbourhood search algorithm. This method includes classical destroy and repair heuristics as well as new operators exploiting the shared destination feature and criterion-specific operators. The algorithm is evaluated on a set of 14 real-world instances in the field of health care logistics, with up to 200 requests and 51 destination points.

Suggested Citation

  • Fabien Lehuédé & Renaud Masson & Sophie N Parragh & Olivier Péton & Fabien Tricoire, 2014. "A multi-criteria large neighbourhood search for the transportation of disabled people," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(7), pages 983-1000, July.
  • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:7:p:983-1000
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    Citations

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    Cited by:

    1. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    2. Ho, Sin C. & Szeto, W.Y. & Kuo, Yong-Hong & Leung, Janny M.Y. & Petering, Matthew & Tou, Terence W.H., 2018. "A survey of dial-a-ride problems: Literature review and recent developments," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 395-421.
    3. Sapan Tiwari & Neema Nassir & Patricia Sauri Lavieri, 2024. "Smart Insertion Strategies for Sustainable Operation of Shared Autonomous Vehicles," Sustainability, MDPI, vol. 16(12), pages 1-28, June.
    4. Christian Pfeiffer & Arne Schulz, 2022. "An ALNS algorithm for the static dial-a-ride problem with ride and waiting time minimization," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 87-119, March.
    5. Sonia Nasri & Hend Bouziri & Wassila Aggoune-Mtalaa, 2022. "An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    6. Chane-Haï Timothée & Vercraene Samuel & Monteiro Thibaud, 2023. "The assignment-dial-a-ride-problem," Health Care Management Science, Springer, vol. 26(4), pages 770-784, December.
    7. Turkeš, Renata & Sörensen, Kenneth & Hvattum, Lars Magnus, 2021. "Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search," European Journal of Operational Research, Elsevier, vol. 292(2), pages 423-442.
    8. Rossana Cavagnini & Valentina Morandi, 2021. "Implementing Horizontal Cooperation in Public Transport and Parcel Deliveries: The Cooperative Share-A-Ride Problem," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    9. Macharis, Cathy & Bernardini, Annalia, 2015. "Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach," Transport Policy, Elsevier, vol. 37(C), pages 177-186.
    10. Sharif Azadeh, Sh. & Atasoy, Bilge & Ben-Akiva, Moshe E. & Bierlaire, M. & Maknoon, M.Y., 2022. "Choice-driven dial-a-ride problem for demand responsive mobility service," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 128-149.
    11. TURKEŠ, Renata & SÖRENSEN, Kenneth & HVATTUM, Lars Magnus & BARRENA, Eva & CHENTLI, Hayet & COELHO, Leandro & DAYARIAN, Iman & GRIMAULT, Axel & GULLHAVE, Anders & IRIS, Çagatay & KESKIN, Merve & KIEFE, 2019. "Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search," Working Papers 2019002, University of Antwerp, Faculty of Business and Economics.
    12. Koc, T. & Bozdag, E., 2017. "Measuring the degree of novelty of innovation based on Porter's value chain approach," European Journal of Operational Research, Elsevier, vol. 257(2), pages 559-567.
    13. Ge, Qian & Han, Ke & Liu, Xiaobo, 2021. "Matching and routing for shared autonomous vehicles in congestible network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).

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