The purpose of this paper is to address the problem of construction task recruitment and worker job finding on labor platforms, using an improved multi-preference two-sided matching algorithm and blockchain technology to provide mutually satisfactory matches for users in a trusted environment.
This study adopts a stable matching method to consider the preferences of both construction tasks and workers. To ensure the trustworthiness of the platform environment, a dual-chain blockchain system combining public and private chains is designed to improve operational efficiency and scalability. The blockchain-based construction labor matching scheme is tested and compared with other methods to verify its feasibility and superiority.
The analysis results show that the proposed mechanism improves the fairness of matching by considering two-sided preferences. The proposed blockchain-based scheme corresponds to the speed in seconds and costs about $1, which is reasonable.
The contribution of this paper is to carry out a preliminary study on the relatively blank field of the current construction labor resource allocation at the platform level and to prompt the expansion of construction labor allocation investigation from the project internal to the market level. Furthermore, the designed B-CLSP model not only considers both construction worker and task preferences to improve matching fairness but also incorporates blockchain technology to improve platform trust and provide guidance for construction labor platform building and development.
