A dynamic crowdshipping model and daily travel behavior. (August 2019)

• Record Type: Journal Article
• Authors: Allahviranloo, Mahdieh; Baghestani, Amirhossein
• Is Part Of: Transportation research. Volume 128(2019)
• Page Start: 175
• Page End: 190
• Publication Date: 2019-08
• Subjects: Dynamic crowdshipping -- Travel behavior -- Collaborative delivery -- Time-use analysis -- Activity-based models; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2019.06.002
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: A peer 2 peer dynamic crowd-shipping model is developed. The details of activity itineraries are used within a pricing & matching mechanism. Crowdshipping would result in significant shifts in the time use behavior in cities. Abstract: 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.