文献类型：期刊文献

英文题名：Blockchain-Enabled Synchromodal Transport Network Optimization: Toward Enhanced Transparency

作者：Li, Shuxia[1];Jiang, Hui[1];Liu, Liping[1];Liu, Yuanqing[1];Wang, Mengling[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

年份：2025

卷号：13

期号：23

外文期刊名：MATHEMATICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001635048900001)】；

基金：This research was funded by the National Natural Science Foundation of China under Grant 72032001.

语种：英文

外文关键词：blockchain; synchromodal transport; multi-objective optimization; uncertain demand; chance-constrained programming model

摘要：Blockchain technology, with its inherent decentralization and transparency, offers innovative solutions to current information-sharing challenges in synchromodal transport systems. This study first examines a synchromodal transport network under deterministic demand and investigates whether blockchain technology can enhance the connectivity among entities. An optimization model is developed to balance transparency and cost efficiency. The analysis is then extended to scenarios with uncertain demand, modeled using triangular fuzzy numbers. Chance-constrained programming and fuzzy goal programming are employed to address demand uncertainty while balancing the model's dual objectives. Using an Asia-Europe transportation dataset, the model is solved via the CPLEX solver. The results indicate that blockchain significantly improves transparency in synchromodal transport networks, albeit with a moderate increase in operational costs. Under uncertain demand conditions, blockchain is effective in mitigating the adverse effects of demand fluctuations. From a managerial perspective, the findings suggest that governments should promote blockchain adoption in transportation, while enterprises should carefully evaluate their operational needs before implementation.