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Quantification of truck accessibility in urban last-mile deliveries using GPS probe data

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  • Choudhry, Arnav
  • Qian, Sean

Abstract

This study presents the Urban Freight Mobility Energy Productivity (UF-MEP), a novel metric that evaluates the performance of last-mile urban freight delivery systems. Incorporating factors like delivery frequency, operational costs, and energy intensity, UF-MEP uses a data-centric approach for estimations. We introduce a pipeline that derives truck activity from GPS data, enabling the calculation of accessible delivery opportunities and UF-MEP. The work emphasizes the importance of comprehensive data collection in less populated areas and the critical role of GPS and link speed data in isochrone generation. Applied to Philadelphia’s large-scale network, our methodology demonstrates decreasing UF-MEP with rising residential and industrial delivery frequencies, while an increase is seen with commercial deliveries. Operational costs and energy intensity negatively impact UF-MEP. Our study suggests the highest potential for UF-MEP improvement lies in enhancing energy efficiency for medium and heavy-duty vehicles.

Suggested Citation

  • Choudhry, Arnav & Qian, Sean, 2024. "Quantification of truck accessibility in urban last-mile deliveries using GPS probe data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:transe:v:186:y:2024:i:c:s1366554524001273
    DOI: 10.1016/j.tre.2024.103536
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    References listed on IDEAS

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    1. He, Zhidong & Navneet, Kumar & van Dam, Wirdmer & Van Mieghem, Piet, 2021. "Robustness assessment of multimodal freight transport networks," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    2. Holguín-Veras, José & Amaya Leal, Johanna & Sanchez-Diaz, Ivan & Browne, Michael & Wojtowicz, Jeffrey, 2020. "State of the art and practice of urban freight management Part II: Financial approaches, logistics, and demand management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 383-410.
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    4. Khalili, Fatemeh Bagheri & Antunes, António Pais & Mohaymany, Afshin Shariat, 2020. "Evaluating interregional freight accessibility conditions through the combination of centrality and reliability measures," Journal of Transport Geography, Elsevier, vol. 83(C).
    5. Muñoz-Villamizar, Andrés & Santos, Javier & Montoya-Torres, Jairo R. & Jaca, Carmen, 2018. "Using OEE to evaluate the effectiveness of urban freight transportation systems: A case study," International Journal of Production Economics, Elsevier, vol. 197(C), pages 232-242.
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    1. Yang, Yitao & Liu, Erjian & Chen, Yan & Meng, Xin & Wang, Ting & Wang, Hui & Zhi, Danyue & Song, Dongdong & Wang, Hao, 2025. "Assessing the resilience of urban truck transport networks under the COVID-19 pandemic: A case study of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).

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