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A shift scheduling model for ridepooling services

Author

Listed:
  • Lukas Berthold

    (Universität Hamburg)

  • Malte Fliedner

    (Universität Hamburg)

  • Arne Schulz

    (Universität Hamburg
    Helmut Schmidt University)

Abstract

The planning of efficient shift schedules is a key challenge for many service companies whose economic success heavily relies on the efficient employment of personnel. In spite of the recent advances in autonomous driving, mobility services, such as ride pooling, still heavily rely on the use of human drivers and will presumably remain in this category in the near to midterm. As a consequence, shift scheduling of drivers is one of the key success factors in the current industry environment. Determining appropriate shifts that minimize an under- and oversupply of vehicles for all planning periods is a challenging task, since demand can vary heavily over time and the assignment flexibilities are limited due to driver preferences and regulations. In this work, we present a shift scheduling model for ridepooling services. Moreover, we introduce a data generator for instances with realistic properties of a ridepooling service. Using it, we study the effect of different kinds of flexibilities on solution quality.

Suggested Citation

  • Lukas Berthold & Malte Fliedner & Arne Schulz, 2025. "A shift scheduling model for ridepooling services," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(2), pages 349-373, June.
    • Handle: RePEc:spr:orspec:v:47:y:2025:i:2:d:10.1007_s00291-024-00784-w
    DOI: 10.1007/s00291-024-00784-w
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