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Parking slot assignment for urban distribution: Models and formulations

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  • Roca-Riu, Mireia
  • Fernández, Elena
  • Estrada, Miquel

Abstract

A key element to enhance urban distribution is the adequate management of parking space, particularly for loading and unloading operations. An in-advance booking system able to be adjusted to users needs can be a very useful tool for city councils. Such a tool should be fed with criteria for allocating requests to time slots. In this paper we discuss alternative criteria for the parking slot assignment problem for urban distribution and we propose the use of mathematical programming formulations to model them. Several models are proposed, analyzed and compared among them. Extensive computational experience is presented with a detailed analysis and comparison, which provides quantitative indicators of the quality of each of the proposed models.

Suggested Citation

  • Roca-Riu, Mireia & Fernández, Elena & Estrada, Miquel, 2015. "Parking slot assignment for urban distribution: Models and formulations," Omega, Elsevier, vol. 57(PB), pages 157-175.
    • Handle: RePEc:eee:jomega:v:57:y:2015:i:pb:p:157-175
    DOI: 10.1016/j.omega.2015.04.010
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Amaya, Johanna & Encarnación, Trilce & Delgado-Lindeman, Maira, 2023. "Understanding Delivery Drivers’ Parking Preferences in Urban Freight Operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    3. Legros, Benjamin & Fransoo, Jan C., 2023. "Admission and pricing optimization of on-street parking with delivery bays," Other publications TiSEM 6d41ee5c-27dc-4d34-aff1-4, Tilburg University, School of Economics and Management.
    4. Marko Mladenović & Thierry Delot & Gilbert Laporte & Christophe Wilbaut, 2020. "The parking allocation problem for connected vehicles," Journal of Heuristics, Springer, vol. 26(3), pages 377-399, June.
    5. 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.
    6. Yang, Kaidi & Roca-Riu, Mireia & Menéndez, Mónica, 2019. "An auction-based approach for prebooked urban logistics facilities," Omega, Elsevier, vol. 89(C), pages 193-211.
    7. Jiang, Bowen & Fan, Zhi-Ping, 2020. "Optimal allocation of shared parking slots considering parking unpunctuality under a platform-based management approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    8. Wanjie Hu & Jianjun Dong & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    9. Legros, Benjamin & Fransoo, Jan C., 2024. "Admission and pricing optimization of on-street parking with delivery bays," European Journal of Operational Research, Elsevier, vol. 312(1), pages 138-149.
    10. 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).

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