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Transport carriers’ cooperation on the last-mile delivery in urban areas

Julio Montecinos (), Mustapha Ouhimmou (), Satyaveer Chauhan (), Marc Paquet () and Ali Gharbi ()
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Julio Montecinos: École de Technologie Supérieure
Mustapha Ouhimmou: École de Technologie Supérieure
Satyaveer Chauhan: Concordia University
Marc Paquet: École de Technologie Supérieure
Ali Gharbi: École de Technologie Supérieure

Transportation, 2021, vol. 48, issue 5, No 10, 2431 pages

Abstract: Abstract A sharing logistics platform for less-than-truckloads could increase efficiency in city pickup and last-mile deliveries under time window constraints by pairing (matching) truck bidders and last-mile logistics requesters. The platform will propose new tours based on localization data, travel time and time-window constraints; it operates a matching algorithm to search for stable truck-sharing deals aiming to reduce the number of trucks in use as well as their operational costs. These sharing deals also reduce traveling distances and gas emissions. We simulate a model to understand the effects of fixed costs and variable costs in the operations, we account for reductions, and we provide some managerial insights. Additionally, we perform sensitivity analysis to consider the effect of delivery time windows’ relaxation and additional travel distance constraints to evaluate the proposed solutions under practical conditions.

Keywords: Truck sharing; Collaborative economy; Gas emission savings; Last-mile transportation; City logistics; Stable matching (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11116-020-10134-8

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