Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 128, Issue -, Pages 175-190Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2019.06.002
Keywords
Dynamic crowdshipping; Travel behavior; Collaborative delivery; Time-use analysis; Activity-based models
Categories
Funding
- PSC-CUNY Research Award Program [69837-00 47]
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Using a dynamic optimization model, we study the transaction of pickup/delivery activities between two groups of individuals: carriers and requesters, in a P2P crowdshipping model. Based on their value of time, requesters set maximum willingness to pay for their parcels to be picked up and delivered and carriers, make an offer depending on the changes that needs to be made to their original itinerary. The proposed model was tested for Los Angeles and Orange Counties, with 27% of successful matches, also demonstrating the impacts of crowdshipping on regional travel behavior and shifts in space-time distribution of the demand.
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