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The Impact of Integrating Open Data in Smart Last-Mile Logistics: The Example of Pamplona Open Data Catalog

Author

Listed:
  • Anas Al-Rahamneh

    (GILT-OR, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

  • Adrian Serrano-Hernandez

    (GILT-OR, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

  • Javier Faulin

    (GILT-OR, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

Abstract

Last-mile logistics is one of the most complicated operations in the whole logistic process. This concept describes the final leg of a product travel from a warehouse or hub to specific customers. One of the last-mile logistics challenges that courier delivery companies face is route planning. Ineffective route planning can cause operational delays that cascade and affect several last-mile deliveries. Thus, numerous factors need to be considered to plan and optimize effective delivery routes. These involve many extraordinary and unpredictable events, including weather, traffic conditions, and traffic regulations. A lack of accessible data hinders dynamic, efficient, and reliable route planning, leading to these factors being overlooked. In this paper, we propose the use of open data (OD) to overcome these limitations. OD are information available for anyone to access, reuse, and distribute for free with minimal attribution and sharing restrictions. Therefore, the aim of this work is to examine the impact of incorporating specific open data elements on the performance of the Clarke and Wright algorithm, particularly in calculating savings, and identifying optimal routes. The results we obtained showed the effect of considering OD with an increase rate of approximately 2% on the total distance compared to not considering them.

Suggested Citation

  • Anas Al-Rahamneh & Adrian Serrano-Hernandez & Javier Faulin, 2025. "The Impact of Integrating Open Data in Smart Last-Mile Logistics: The Example of Pamplona Open Data Catalog," Sustainability, MDPI, vol. 17(2), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:408-:d:1562073
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    References listed on IDEAS

    as
    1. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    2. Kwon, Jaimyoung & Mauch, Michael & Varaiya, Pravin, 2006. "Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand," University of California Transportation Center, Working Papers qt31c9k717, University of California Transportation Center.
    3. Mengke Li & Yongkui Shi & Meiyan Li, 2023. "Solving the Vehicle Routing Problem for a Reverse Logistics Hybrid Fleet Considering Real-Time Road Conditions," Mathematics, MDPI, vol. 11(7), pages 1-19, March.
    4. Paulina Golinska-Dawson & Kanchana Sethanan, 2023. "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review," Energies, MDPI, vol. 16(6), pages 1-28, March.
    5. John Olsson & Daniel Hellström & Henrik Pålsson, 2019. "Framework of Last Mile Logistics Research: A Systematic Review of the Literature," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
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