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Dynamic management of loading bays for energy efficient urban freight deliveries

Author

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  • Letnik, Tomislav
  • Farina, Alessandro
  • Mencinger, Matej
  • Lupi, Marino
  • Božičnik, Stane

Abstract

A model for dynamic assignment of loading bays for urban last-mile deliveries has been developed. It aims to solve the problem of defining the most optimal number and location of loading bays and their management for energy efficient urban freight deliveries. Optimisation is based on fuzzy k-means clustering of receivers to dynamically select the best possible loading bay in combination with a routing algorithm. The model is tested on the actual data of deliveries in the historical city centre of Lucca, Italy. The results of simulations have demonstrated a significant savings of time and distance travelled by freight vehicles, as well as of CO2 and fuel, in comparison to the existing situation.

Suggested Citation

  • Letnik, Tomislav & Farina, Alessandro & Mencinger, Matej & Lupi, Marino & Božičnik, Stane, 2018. "Dynamic management of loading bays for energy efficient urban freight deliveries," Energy, Elsevier, vol. 159(C), pages 916-928.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:916-928
    DOI: 10.1016/j.energy.2018.06.125
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    Cited by:

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    3. Tomislav Letnik & Katja Hanžič & Giuseppe Luppino & Matej Mencinger, 2022. "Impact of Logistics Trends on Freight Transport Development in Urban Areas," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
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    6. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Jorge Luiz dos Santos Junior & Leise Kelli de Oliveira, 2020. "Analysis of the Level of Service of Unloading Zones Using Diversity Measures in a Multiplex Network," Sustainability, MDPI, vol. 12(10), pages 1-16, 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. Tomislav Letnik & Matej Mencinger & Iztok Peruš, 2020. "Flexible Assignment of Loading Bays for Efficient Vehicle Routing in Urban Last Mile Delivery," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    10. 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.
    11. Sara Ezquerro & José Luis Moura & Borja Alonso, 2020. "Illegal Use of Loading Bays and Its Impact on the Use of Public Space," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    12. Frazen Tolentino-Zondervan & Enide Bogers & Luc van de Sande, 2021. "A Managerial and Behavioral Approach in Aligning Stakeholder Goals in Sustainable Last Mile Logistics: A Case Study in the Netherlands," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    13. Mor, A. & Speranza, M.G. & Viegas, J.M., 2020. "Efficient loading and unloading operations via a booking system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    14. Mohammad Zaher Akkad & Tamás Bányai, 2020. "Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    15. Letnik, Tomislav & Marksel, Maršenka & Luppino, Giuseppe & Bardi, Andrea & Božičnik, Stane, 2018. "Review of policies and measures for sustainable and energy efficient urban transport," Energy, Elsevier, vol. 163(C), pages 245-257.
    16. 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.
    17. Burns, Aaron J. & Michalek, Jeremy J. & Samaras, Constantine, 2024. "Estimating the potential for optimized curb management to reduce delivery vehicle double parking, traffic congestion and energy consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    18. Marzena Kramarz & Edyta Przybylska, 2021. "Multimodal Transport in the Context of Sustainable Development of a City," Sustainability, MDPI, vol. 13(4), pages 1-29, February.

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