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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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