As the most successful application of the sharing economy, ride-hailing service is popular worldwide and serves millions of users per day worldwide. Ride-hailing service providers (SPs) usually collect users' personal data to improve their services via big data technologies. However, SPs may also use the collected user data to apply personalized prices to different users, which raises price fairness concerns. In this paper, we propose a smart price auditing system named Spas. Spas allows a user to purchase Fair Price Insurance in the form of Price Auditing Contract, then the price of ride-hailing service (RHS) order will be audited automatically once completed. According to the auditing result, the contract punishes misbehaving SPs and also compensates affected users automatically. By replacing an untrustworthy centralized auditor with carefully designed smart contracts, we construct a decentralized price auditing system which is trustworthy and transparent. We demonstrate a theoretical model for practical payment flows based on real RHS user data and we implement Spas in Hyperledger Fabric to show that decentralizing and automating price auditing for RHS with financial incentives is technically feasible.
|Number of pages||18|
|Journal||IEEE Transactions on Mobile Computing|
|Early online date||9 Jul 2020|
|Publication status||Published - 1 Feb 2022|
Bibliographical noteFunding Information:
This work was supported by the National key R&D Program of China under Grant No.2018YFB1402700. It was also partially supported by the National Natural Science Foundation of China under Grant No. 61672412 and No. 61602363.
© 2002-2012 IEEE.
- decentralized system
- game theory
- insurance scheme
- smart contract