He Chan, Xu Qun, Xu Xu, Kong Feng, Shen Feng
Business School, Shanghai Dianji University, Pudong, Shanghai, China.
Xiangfu Laboratory, Jiashan, Zhejiang, China.
PLoS One. 2025 Jun 27;20(6):e0319842. doi: 10.1371/journal.pone.0319842. eCollection 2025.
This paper examines the impact of data-driven mechanisms in network freight platforms. The main objective is to understand how these mechanisms can improve operational efficiency and encourage cooperation among key stakeholders, including a risk-neutral shipper, a loss-averse carrier and network freight platform. The study uses evolutionary game theory to model the interactions between these parties. Numerical simulations are conducted to evaluate the effects of initial conditions and important parameters on cooperation. The results show that consistent implementation of data-driven mechanisms fosters stable and honest cooperation. Key factors, such as subsidies, penalties for dishonest behavior, the likelihood of detecting dishonesty, and incentives for honest actions, motivate carriers and shippers to participate in fair transactions. Additionally, specific costs are identified as deterrents to dishonest practices. These findings contribute to our understanding of digital transformation and provide valuable insights for enhancing resilience and collaboration within network freight platforms. The risk appetite can obviously influence the decision of the three parties. The study also highlights important implications for policymakers and industry practitioners, emphasizing the importance of effective data governance and the strategic use of information to shape the future of freight logistics.
本文探讨了网络货运平台中数据驱动机制的影响。主要目的是了解这些机制如何提高运营效率，并鼓励包括风险中性托运人、厌恶损失的承运人以及网络货运平台在内的关键利益相关者之间的合作。该研究使用演化博弈论对这些参与方之间的互动进行建模。进行了数值模拟，以评估初始条件和重要参数对合作的影响。结果表明，持续实施数据驱动机制可促进稳定和诚实的合作。补贴、对不诚实行为的惩罚、发现不诚实行为的可能性以及对诚实行为的激励等关键因素，促使承运人和托运人参与公平交易。此外，特定成本被确定为不诚实行为的威慑因素。这些发现有助于我们理解数字转型，并为增强网络货运平台的弹性和协作提供有价值的见解。风险偏好显然会影响三方的决策。该研究还强调了对政策制定者和行业从业者的重要意义，强调了有效数据治理以及战略性利用信息对塑造货运物流未来的重要性。
