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

Arnav Choudhry and Sean Qian

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 186, issue C

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.

Keywords: Urban freight; Last-mile; Energy efficiency; Isochrone; Accessibility; GPS data (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103536

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