智慧交通系统

区域协调发展视角下城际路网的多维可达性评价

  • 叶奕辰 ,
  • 温惠英 ,
  • 张琳
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  • 1.华南理工大学 土木与交通学院,广东 广州 510640
    2.北京师范大学 教育部巨灾模拟与系统性风险应对国际合作联合实验室,广东 珠海 519087
    3.北京师范大学 国家安全与应急管理学院,广东 珠海 519087
叶奕辰(1995—),男,博士生,主要从事交通运输规划与管理研究。E-mail: yeyichen624@gmail.com
张琳(1990—),男,博士,副研究员,博士生导师,主要从事城市安全、交通系统韧性研究。E-mail: zhanglin90@bnu.edu.cn

收稿日期: 2024-12-27

  网络出版日期: 2025-06-17

基金资助

国家重点研发计划项目(2024YFC3014100);国家自然科学基金项目(52372329);广东省住房和城乡建设厅研究开发项目(2024-K23-094406)

Evaluation of Multi-Dimension Accessibility of Intercity Road Networks from the Perspective of Regional Coordinated Development

  • YE Yichen ,
  • WEN Huiying ,
  • ZHANG Lin
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  • 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
    2.Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance,Beijing Normal University,Zhuhai 519087,Guangdong,China
    3.School of National Safety and Emergency Management,Beijing Normal University,Zhuhai 519087,Guangdong,China
叶奕辰(1995—),男,博士生,主要从事交通运输规划与管理研究。E-mail: yeyichen624@gmail.com

Received date: 2024-12-27

  Online published: 2025-06-17

Supported by

the National Key Research and Development Program of China(2024YFC3014100);the National Natural Science Foundation of China(52372329)

摘要

城际路网可达性是衡量区域经济社会要素流动效率的重要指标,但现有研究多聚焦宏观连通性,忽视了局部服务与节点经济互动,对区域协调发展的支撑不足,为此,该文构建了一个城际路网多维可达性评价框架。首先,提出了兼顾区域协调发展目标与数据可得性的节点分类方法,系统界定经济活动中心、交通枢纽与旅游景点在城际路网中的定位与功能。然后,将高速公路、普通国道与普通省道整合至统一的拓扑模型,并通过构建兼顾通行效率与费用差异的时间阻抗调整机制,真实反映不同类型道路在路径选择中的动态平衡特征。在此基础上,从连通、服务与经济3个维度设计可达性评价模型,分别量化网络整体连通性、居民对枢纽与景点的可达便利性,以及节点间的经济互动强度。以2021年底粤港澳城际路网为例进行实证分析,结果表明,粤港澳大湾区在多维可达性上显著优于粤东西北地区。基于循证设计原则,选取关键节点并规划建设高标准公路后,无论在全域范围还是粤东西北局部,连通、服务与经济可达性均显著提升,其中粤东西北地区99.2%的节点连通可达性改善,83.3%的节点经济可达性提高,充分证明了框架与优化方案的有效性。该研究为区域交通网络优化与资源配置提供了系统化分析工具和决策参考。

本文引用格式

叶奕辰 , 温惠英 , 张琳 . 区域协调发展视角下城际路网的多维可达性评价[J]. 华南理工大学学报(自然科学版), 2025 , 53(11) : 101 -111 . DOI: 10.12141/j.issn.1000-565X.240608

Abstract

The accessibility of intercity road network is a key indicator for measuring the efficiency of regional flows of economic and social resources. However, the existing researches mainly focus on macro-level connectivity, while local services and economic interactions between nodes receive less attention, thus providing insufficient support for regional coordinated development. To address this issue, this paper proposes a multi-dimension accessibi-lity evaluation framework for intercity road networks. First, a node classification method is developed to balance regional coordinated development goals with data availability, systematically defining the positions and functions of economic activity centers, transportation hubs and tourist attractions within the network. Secondly, expressways, national highways and provincial highways are integrated into a unified topological model, and a time impedance adjustment mechanism that accounts for both travel efficiency and cost differences is established, which is used to capture the dynamic balance characteristics of different road types in path selection. On this basis, three accessibility evaluation models are constructed respectively from the dimensions of connectivity, service and economy, and are used to quantify the overall network connectivity, residents’convenience in accessing hubs and attractions, and the strength of economic interactions between nodes, respectively. An empirical analysis of the Guangdong-Hong Kong-Macao intercity road network at the end of 2021 shows that the Greater Bay Area significantly outperforms Eastern, Western, and Northern Guangdong in terms of multi-dimension accessibility. Based on the principles of evidence-based design, the selection of key nodes and the planning and construction of high-standard roads lead to significant improvements in connectivity, service, and economic accessibility, both across the entire region and within Eastern, Western, and Northern Guangdong. Specifically, 99.2% of nodes in Eastern, Western, and Northern Guangdong show improved connectivity accessibility, and 83.3% exhibit enhanced economic accessibility, thus fully validating the effectiveness of the proposed evaluation framework and the optimization scheme. This study provides a syste-matic tool and decision-making reference for regional road network optimization and resource allocation.

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