Driving High-Quality Development of Intermodal Transport through Data Governance: A Review of Research on Data Governance for Intermodal Transport in the United States

Journal of Economics and Technology in Education

JETE, Vol. 1, No. 1, 2026, pp.152-164.

Print ISSN 3105-2711; Online ISSN: 3105-272X

Journal homepage: https://www.jetejournal.com

DOI: https://doi.org/10.64058/jete260114dhdit


Driving High-Quality Development of Intermodal Transport through Data Governance: A Review of Research on Data Governance for Intermodal Transport in the United States

Wang Baixun, Cheng Wanhong

 

Abstract: This article reviews Research on Data Governance for Intermodal Transport in the United States, following its demand-driven logic and governance closed loop to synthesize the book’s argument from institutional arrangements and organizational structures, through planning-oriented data requirements, cost and demand data, performance indicators and survey methods, to the design of data quality, security, and architecture. The review contends that the book conceptualizes data as a foundational capability for public-sector planning, investment, regulation, and accountability. It proposes a structured process for assessing data requirements, outlines approaches to indicator computation, and develops an interoperability framework, which together support component-based architecture and a tiered implementation roadmap for a national freight data platform. These contributions provide useful references for China in strengthening intermodal transport data standards, data-sharing mechanisms, and security governance. The review further notes that incentive-compatible public–private collaboration and the integration of emerging technologies warrant more extensive discussion.

Keywords: Intermodal transport; High-quality development; Data governance; U.S. experience; Information systems

Author Biographies: Wang Baixun, Ph.D., associate professor at International College, Guangzhou College of Commerce, Huangpu District, Guangzhou. Research fields: international logistics and trade, transportation engineering and management, Economics in Asia Pacific. E-mail: wangbx@gcc.edu.cn. Cheng Wanhong (Corresponding Author), Master’s student, full-time faculty member at the International College of Guangzhou College of Commerce. Research fields: Business English, International Business Communication, and Cross-cultural Communication, E-mail: carmencheng@gcc.edu.cn.

 

标题:以数据治理驱动多式联运高质量发展——评《美国多式联运数据治理研究》

摘要:本文评介《美国多式联运数据治理研究》,以数据需求牵引与治理闭环为主线,梳理其从制度组织、规划数据需求、成本与需求数据、绩效指标与调查方法,到质量、安全与架构设计的论证逻辑。文章认为,该书将数据界定为公共部门规划、投资、监管与问责的基础能力,提出需求评估流程、指标计算思路与互操作框架,并据此形成全国货运数据平台的组件体系与分级实施路径。其对我国多式联运数据标准、共享机制与安全治理具有参考意义。同时提示政企协同激励与新兴技术融入仍需再展开。

关键词:多式联运;高质量发展;数据治理;美国经验;信息系统

作者简介:王柏荀,博士,广州商学院国际学院副教授,研究方向:国际物流与贸易、交通运输工程与管理、亚太经济。电邮:wangbx@gcc.edu.cn成宛鸿(通讯作者),硕士,广州商学院国际学院专任教师,研究方向:商务英语、国际商务沟通、跨文化交际,电邮:carmencheng@gcc.edu.cn


Received: 05 Jan 2026 / Revised: 18 Apr 2026 / Accepted: 23 Apr 2026 / Published online: 30 Apr 2026 / Print published: 30 May 2026.

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