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The use of electric motorbikes for last-mile delivery fills a gap between electric cargo-bikes and electric vans in cities, suburban and rural areas. Planning and sizing the use of electric motorbikes for delivery poses several challenges to meeting fleet managers’ eco-efficiency and cost-effectiveness objectives while maintaining high levels of customer satisfaction. Consolidating deliveries and using optimised routes helps reduce consumption and reduce the overall footprint. In this paper, we address and describe modelling considerations that are significant for planning delivery services using electric motorbikes: battery consumption and route planning. We address these modelling considerations differentiating particularities between parcel and food delivery. The two approaches share multiple similarities but they face variances regarding customer demand and delivery procedures.

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Last-Mile Delivery Through Electric Motorbikes: Modelling Considerations for Parcel vs. Food Delivery

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Harbil Arregui,
  • Iñaki Cejudo,
  • Iker Arandia,
  • Andoni Mujika,
  • Eider Irigoyen,
  • Laura Rabadan,
  • Estibaliz Loyo

摘要

The use of electric motorbikes for last-mile delivery fills a gap between electric cargo-bikes and electric vans in cities, suburban and rural areas. Planning and sizing the use of electric motorbikes for delivery poses several challenges to meeting fleet managers’ eco-efficiency and cost-effectiveness objectives while maintaining high levels of customer satisfaction. Consolidating deliveries and using optimised routes helps reduce consumption and reduce the overall footprint. In this paper, we address and describe modelling considerations that are significant for planning delivery services using electric motorbikes: battery consumption and route planning. We address these modelling considerations differentiating particularities between parcel and food delivery. The two approaches share multiple similarities but they face variances regarding customer demand and delivery procedures.