文章编号： 1672-5328（2025）03-0062-12

马小毅1, 2，张科1, 2，金安1, 2，宋程1, 2，陈先龙1, 2
(1. 广州市交通规划研究院有限公司，广东广州510030；2. 广东省可持续交通工程技术研究中心，广东广州 510030)

摘要： 在区域一体化与城市精细化治理背景下，广州市第三代交通模型体系突破传统模型的时空局 限，为新时代交通治理提供定量决策工具。该模型体系以“数据-模型-应用”三级架构为核心， 通过数据底盘实现区域一体化与交通治理两大模型子系统的动态交互。重点阐述区域一体化模型和 交通治理模型的技术特征：区域一体化模型的建模范围从都市圈扩展至省域，交通网络建构从单一 道路系统延伸至公铁网络，模型技术聚焦区域出行规律挖掘与需求预测，应用场景也拓展至支撑城 市互联互通和铁路枢纽群优化等；交通治理模型则突破了传统规划模型的局限，在交通网络建构方 面人口数据颗粒度细化到建筑物，模型技术着重挖掘出行者活动稳定性特征，应用场景涵盖职住关 系动态监测、拥堵点治理、复杂立交节点施工交通疏解等。实证表明，该模型体系实现了从宏观战 略到微观场景、从规划编制到动态治理的全流程覆盖。

关键词： 交通模型；区域一体化；交通治理；大数据；交通网络构建；出行者活动稳定性；广州市

中图分类号： U491.1+2

文献标识码：A

Guangzhou's Third- Generation Transportation Model System: Framework Development and Technological Innovation

MAXiaoyi1, 2, ZHANG Ke1, 2, JIN An1, 2, SONG Cheng1, 2, CHEN Xianlong1, 2
(1. Guangzhou Transport Planning Research Institute Co., Ltd., Guangzhou Guangdong 510030, China; 2. Guangdong Sustainable Transportation Engineering Technology Research Center, Guangzhou Guangdong 510030, China)

Abstract： Against the backdrop of regional integration and refined urban governance, Guangzhou's thirdgeneration transportation model system addresses the spatial and temporal constraints of conventional models, offering a quantitative decision-making tool for transportation governance in the new era. The system is based on a three-tier architecture of“data–model–application”and achieves a dynamic interaction of the two major foundational model subsystems of regional integration and transportation governance. Technical characteristics are highlighted for the two core subsystems: the regional integration model and the transportation governance model. The regional integration model expands its modeling scope from the metropolitan area to the provincial scale, with the transportation network construction evolving from singlemode road systems to integrated road- rail networks. Technologically, it focuses on identifying regional travel patterns and forecasting mobility demand, with application scenarios extending to facilitate intercity connectivity and optimize rail hub clusters. The transportation governance model addresses the limitations of traditional planning models. Its network construction incorporates population data at the building level, and its modeling techniques emphasize uncovering the behavioral stability patterns of travelers. Application scenarios include dynamic monitoring of job-housing relationships, congestion hotspot mitigation, and traffic diversion planning for complex interchange construction. Empirical results demonstrate that the model system enables full- process coverage from macro-level strategic planning to micro- level scenario governance, and from plan formulation to dynamic governance.

Keywords： transport model; regional integration; transportation governance; big data; transportation network construction; behavioral stability of travelers; Guangzhou