Matching supply and demand in crowdshipping: A theoretical framework
The emergence of internet and smartphones had played an important role in the increase of on-demand economy. Crowdshipping (CS) is an emerging trend that is expected to reduce the externalities caused by Urban Freight Transport (UFT). However, modelling the CS services, predicting their market share and their effect in the network is not a trivial task. CS matches the demand created by freight transport companies with the available capacity offered by passengers. Currently a gap exists in the literature on models that integrate the decisions related to the supply and the choices that identify the demand and matches them in the real-time. This paper presents a theoretical methodological framework that proposes an innovative collection of preference data in order to develop choice models that identify the need willingness of commuters to crowdship. In parallel it calculates the demand and proposes the development of a real-time matching simulator for the assignment of packets to crowdshippers and then to the network.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
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Corporate Authors:
Transportation Research Board
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Authors:
- Kourounioti, Ioanna
- Tsouros, Ioannis
- Georgakis, Panos
- Salas, Angelica
- de Bok, Michiel
- Tsirimpa, Athena
- Pagoni, Ioanna
- Thoen, Sebastiaan
- Eggers, Larisa
- Polydoropoulou, Amalia
- Tavassy, Lóránt
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Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: 16p
Subject/Index Terms
- TRT Terms: Choice models; Consumer preferences; Crowdsourcing; Delivery service; Demand; Supply; Urban areas
- Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management;
Filing Info
- Accession Number: 01763862
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-03959
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 10:57AM