Blockchain-based Reputation Management Framework for Crowdsourced Last-mile Delivery
Maha Kadadha, Rabeb Mizouni, Shakti Singh, Hadi Otrok, Azzam Mourad · 2023
To cope with the increasing growth of last-mile delivery, crowdsourcing last-mile delivery has been adopted as a flexible and cost-efficient way to deliver parcels quickly and efficiently. However, some potential downsides to crowdsourcing last-mile delivery include concerns about safety, reliability, and transparency. Therefore, blockchain has been adopted to promote transparency in the last-mile delivery process. Despite the impact of a worker’s reputation on task completion, existing works do not offer a traceable and transparent reputation metric for lastmile delivery workers. This paper proposes a blockchain-based framework for reputation management in crowdsourced last-mile delivery. The proposed framework is designed as smart contracts that maintain and update crowdsourced workers’ information, mainly reputation, in a transparent and traceable manner. In addition, the framework allows requesters to create their delivery tasks and workers to get allocated available tasks. The proposed framework uses Solidity to interact with smart contracts for requesters and workers. The cost analysis demonstrates the proposed framework’s feasibility and cost efficiency.