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Optimizing Vehicle Replacement in Sustainable Urban Freight Transportation Subject to Presence of Regulatory Measures

Author

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  • Parisa Ahani

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal)

  • Amílcar Arantes

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal)

  • Rohollah Garmanjani

    (Center for Mathematics and Applications (NOVA Math), FCT NOVA, 2829-516 Caparica, Portugal)

  • Sandra Melo

    (CEiiA, Center of Engineering and Development, Av. Dom Afonso Henriques 1825, 4450-017 Matosinhos, Portugal)

Abstract

Since the 1990s, studies and pilot tests have been conducted to reduce traffic, accidents, and pollution due to urban freight transport (UFT). These ended up in several policies, regulations, and restrictions for UFT, such as low emission zones, delivery time windows, and vehicle size and weight restrictions. However, issues in UFT under regulatory measures still persist. This study introduces an optimization framework for deriving an optimal combination of various types of vehicles with different capacities for vehicle replacement with UFT. This framework allows an understanding of how an urban freight company with a limited budget efficiently satisfies its freight demand within an urban area in the presence of regulatory measures by urban administrators. The introduced formulation, which is mixed-integer linear programming, will assist the operator in choosing the best investment strategy for introducing new vehicles of certain types and sizes, for operation in different zones, into its fleet while gaining economic benefits and having a positive impact on the liveability of the urban area. Furthermore, an elasticity analysis is performed to consider the effects of specific uncertain parameters on the total cost. The numerical results show that the share of electric vehicles in the fleet increases, and they are more competitive than diesel vehicles.

Suggested Citation

  • Parisa Ahani & Amílcar Arantes & Rohollah Garmanjani & Sandra Melo, 2023. "Optimizing Vehicle Replacement in Sustainable Urban Freight Transportation Subject to Presence of Regulatory Measures," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12266-:d:1215115
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    References listed on IDEAS

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    Cited by:

    1. Sandra Melo & Rui Gomes & Reza Abbasi & Amílcar Arantes, 2024. "Demand-Responsive Transport for Urban Mobility: Integrating Mobile Data Analytics to Enhance Public Transportation Systems," Sustainability, MDPI, vol. 16(11), pages 1-18, May.
    2. Bogusław Bieda & Roger Książek & Katarzyna Gdowska & Antoni Korcyl, 2023. "Strategic Decision-Making for Multi-Period Fleet Transition Towards Zero-Emission: Preliminary Study," Sustainability, MDPI, vol. 15(24), pages 1-14, December.
    3. Doğukan Toktaş & M. Ali Ülkü & Muhammad Ahsanul Habib, 2024. "Toward Greener Supply Chains by Decarbonizing City Logistics: A Systematic Literature Review and Research Pathways," Sustainability, MDPI, vol. 16(17), pages 1-22, August.

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