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【背景】在全球供应链波动、“双碳”目标与多式联运“一单制”推进的背景下，多式联运发展中多主体治理问题日益凸显。【目标】系统梳理多主体参与的多式联运竞合研究主题与方法体系，并识别研究不足，提出未来研究方向。【方法】融合文献计量与系统综述，利用CiteSpace工具进行关键词可视化分析；并按照战略层、战术层、运营层和应用层对相关研究进行归纳与比较。【数据】选取CNKI与Web of Science数据库中2015-2025年6月之间116篇相关的中英文文献。【结果】现有研究主要采用了博弈论、优化与仿真方法，研究议题包括战略层的竞合博弈与政策激励下的均衡分析；战术层的枢纽选址、网络资源配置与收益分配；运营层的分布式协同调度与供需匹配；以及应用层基于区块链/物联网的信任重构与平台设计。【结论】未来研究应聚焦于：深化多政策情景下多式联运细分主体竞合行为分析；构建异质货物协同网络与多周期动态收益分配机制；发展隐私保护的实时调度与强化学习智能决策方法；完善责任界定与法律适用规则，加强技术落地的实证评估，从而推动多式联运多主体治理从理论向实践转化。
Abstract：[Background] Amid global supply chain volatility， the “dual-carbon” targets， and the promotion of the intermodal transport single waybill system， multi-stakeholder governance issues have become increasingly prominent in intermodal transport development. [Objective] To systematically review research themes and the methodological system on multi-stakeholder co-opetition in intermodal transport， identify research gaps， and propose future research directions. [Method] A combined bibliometric and systematic review approach is adopted. CiteSpace is used for keyword visualization analysis， while existing studies are categorized and compared according to strategic， tactical， operational， and application levels. [Data] The database consists of 116 relevant Chinese and English articles from CNKI and Web of Science published between January 2015 and June 2025. [Results] Existing research has primarily employed game theory， optimization， and simulation methods. The research topics encompass: co-opetition games and equilibrium analysis under policy incentives at the strategic level; hub location， network resource allocation， and revenue distribution at the tactical level; distributed collaborative scheduling and supply-demand matching at the operational level; and trust reconstruction and platform design based on blockchain and IoT technologies at the application level. [Conclusions] Future research should focus on: analyzing the competition-cooperation behaviors of differentiated actors under multi-policy scenarios; constructing heterogeneous cargo collaborative networks and multi-period dynamic revenue allocation mechanisms; developing privacy-preserving real-time scheduling and reinforcement learning-based intelligent decision-making methods; and improving liability definition and legal applicability rules while strengthening empirical evaluation of technology implementation， thereby promoting the transformation of multi-stakeholders governance in intermodal transport from theory to practice.
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基本信息:
DOI：10.19961/j.cnki.1672-4747.2026.01.015
中图分类号:U116
引用信息:
[1]甘蜜,谭湘蓉,罗骁宇,等.面向多主体参与的多式联运竞合方法研究综述[J].交通运输工程与信息学报().DOI:10.19961/j.cnki.1672-4747.2026.01.015.
基金信息:
国家自然科学基金项目（U2568219）;国家自然科学基金项目（52402521;52372306;52472333;52232011）; 四川省自然科学基金青年项目（2025NSFSC1969）; 中国铁路总公司科技研究开发计划(N2025X022-B(JB)); 河北省自然科学基金项目（G2024105007）; 中央高校基本科研业务费项目（No.2682025CX056）
2026-04-14
2026-04-14
2026-04-14