A domain-of-influence based pricing strategy for task assignment in crowdsourcing package delivery
Crowdsourced package delivery has gained great interest from the logistics industry and academe due to its significant economic and environmental impact. However, there are few research achievements about incentive mechanism to motivate people to participate. A novel domain-of-influence based pricing strategy for crowdsourced delivery is proposed. The three-stage package delivery framework is extended with the proposed pricing algorithm, which can iteratively figure out the price that represents a state of balance between the package demand and driver supply. To create better matching, even hyperbolic temporal discounting function is employed to estimate the driver's perceived reward to accept the package. The performance is evaluated using the Jinan dataset and real delivery data. Results show that economic utility and stable assignment rate have been increased by over 9% and over 6%, respectively, while the average delivery time and average delivery price have also been improved.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
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Supplemental Notes:
- © 2021 Zhifeng Zhou et al.
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Authors:
- Zhou, Zhifeng
- Chen, Rong
- Guo, Shikai
- Publication Date: 2021-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 808-823
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Serial:
- IET Intelligent Transport Systems
- Volume: 15
- Issue Number: 6
- Publisher: Institution of Engineering and Technology (IET)
- ISSN: 1751-956X
- EISSN: 1751-9578
- Serial URL: https://ietresearch.onlinelibrary.wiley.com/journal/17519578
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Crowdsourcing; Delivery service; Incentives; Logistics; Pricing
- Subject Areas: Finance; Transportation (General);
Filing Info
- Accession Number: 01780385
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 27 2021 2:56PM