Public transport crowdshipping: moving shipments among parcel lockers located at public transport stations

Alexander Wyrowski (), Nils Boysen (), Dirk Briskorn () and Stefan Schwerdfeger ()
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Alexander Wyrowski: Friedrich-Schiller-Universität Jena, Lehrstuhl für Operations Management
Nils Boysen: Friedrich-Schiller-Universität Jena, Lehrstuhl für Operations Management
Dirk Briskorn: Bergische Universität Wuppertal, Professur für BWL, insbesondere Produktion und Logistik
Stefan Schwerdfeger: Friedrich-Schiller-Universität Jena, Lehrstuhl für Operations Management and Lehrstuhl für Management Science

OR Spectrum: Quantitative Approaches in Management, 2024, vol. 46, issue 3, No 7, 873-907

Abstract: Abstract In view of success stories of unicorn startups from the sharing and gig economy such as Airbnb, DiDi, or Uber, it is not surprising that postal service providers try to transfer the sharing idea toward their last-mile delivery services: owners of under-used assets (here private crowdshippers traveling anyway) are connected with users willing to pay for the use of these assets (here postal service providers having to deliver parcels). In this paper, we consider a special form of crowdshipping where public transport users, steered by a smartphone app, pick up parcels from parcel lockers, take these shipments with them on their subway rides, and deposit these parcels into other lockers. Finally, the actual recipients can pick up their shipments from their most convenient parcel lockers, e.g., on their own way back home from work. We formulate the optimization problem that matches crowdshipping demand and supply and determines the routes along lockers and crowdshippers each parcel takes. Specifically, we allow that each parcel is moved by multiple cooperating crowdshippers and solve this problem with different objective functions capturing the individual aims of the main stakeholders: shippers, crowdshippers, recipients, and the platform provider. We evaluate the relationship of these objectives and quantify the efficiency loss of a more restricted matching policy, where only a single crowdshipper can be assigned to each parcel’s complete path between origin and destination. Finally, we also explore the impact of delays and investigate whether specific objectives protect against unforeseen events.

Keywords: Transportation; Urban logistics; Crowdshipping; Public transport (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00291-024-00748-0

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