Abstract:
Ride-hailing, the most successful sharing economy application, serves millions of users daily. Big data helps ride-hailing service providers (SPs) improve their services by collecting users’ personal data. SPs may also use user data to personalize prices, raising price fairness concerns.
This project proposes Spas, a smart price auditing system. Spas offers Fair Price Insurance as a Price Auditing Contract, which automatically audits ride-hailing service (RHS) orders. The audit found that the contract automatically punishes SPs and compensates affected users.
We create a trustworthy and transparent decentralized price auditing system by replacing an untrustworthy centralized auditor with carefully designed smart contracts.
We demonstrate a theoretical model for practical payment flows based on real RHS user data and implement Spas in Hyperledger Fabric to show that RHS price auditing can be decentralized and automated with financial incentives.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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