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地理学报 >

2025 , Vol. 80 >Issue 4: 1089 - 1102

DOI: https://doi.org/10.11821/dlxb202504014

交通与旅游地理

京津冀城市群总体与城际出行特征异同性挖掘

  • 王月 ,
  • 姚恩建 ,
  • 郝赫 ,
  • 李义罡 ,
  • 史佳柠
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  • 北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室，北京 100044
姚恩建(1971-), 男, 博士, 教授, 主要从事综合交通运输规划与系统设计、综合交通大数据与数字交通等方面的研究。E-mail:

注：本文为第二十七届中国科协年会学术论文。

王月(1997-), 女, 博士生, 研究方向为城市交通规划与管理。E-mail:

收稿日期: 2023-05-16

  修回日期: 2024-10-10

  网络出版日期: 2025-04-23

基金资助

国家自然科学基金项目(52172312)

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The similarities and differences in general and inter-city travel characteristics in the Beijing-Tianjin-Hebei urban agglomeration

  • WANG Yue ,
  • YAO Enjian ,
  • HAO He ,
  • LI Yigang ,
  • SHI Jianing
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  • Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China

Received date: 2023-05-16

  Revised date: 2024-10-10

  Online published: 2025-04-23

Supported by

National Natural Science Foundation of China(52172312)

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摘要

随着城市群的快速发展，在城市出行的基础上城际出行日渐规模化、常态化。为深入分析城市群出行特征，支持城市与城际交通一体化发展，本文构建了一套城市群总体出行与城际出行特征对比分析框架，基于2023年5月京津冀地区手机信令数据，以区县间出行需求构建城市群出行网络，并拆分城际出行网络聚焦城际出行特征，挖掘城市群总体与城际出行特征异同。结果表明：① 京津冀城市群呈现“核心—外围”的空间形态，行政边界的限制作用依然明显。总体出行以市域为界形成多个独立的核心—外围结构；城际出行形成以北京为核心，石家庄和天津为中介的放射型结构。② 出行强度的空间分布不均衡，两级分化严重。总体出行中，各城市中心城区出行强度较高，并对外围产生不同程度的影响；城市副中心、边界和飞地区县是城际出行中的关键区域；而大量边缘区县给城市群出行网络化发展带来阻碍。③ 组团识别结果体现了出行中的行政区效应、溢出效应和邻近效应，并揭示了各中心城区的枢纽功能，其中北京和石家庄兼具了城际枢纽功能。

关键词： 城市群; 出行网络; 区县出行; 城际出行; 空间特征; 京津冀城市群

本文引用格式

王月 , 姚恩建 , 郝赫 , 李义罡 , 史佳柠 . 京津冀城市群总体与城际出行特征异同性挖掘[J]. 地理学报, 2025 , 80(4) : 1089 -1102 . DOI: 10.11821/dlxb202504014

Abstract

The scale and spatial distribution of travel demand are crucial foundations for the formulation of transportation planning. This paper extracts the travel demand between counties and districts (referred to as counties) within the Beijing-Tianjin-Hebei (BTH) urban agglomeration based on mobile phone signaling data, and constructs travel networks for general and inter-city travels respectively. Using complex network analysis methods, it analyzes and compares the characteristics differences in node centrality, leading connections, and clustering spaces in general travels and inter-city travels within the urban agglomeration. The results indicate that: (1) The spatial distribution of travel intensities is uneven, with higher travel intensities in the center of the city, higher travel intensities for cross-boundary trips in suburban counties, and higher travel intensities for cross-city travel in border counties. The spatial distribution of travel intensities is uneven, with higher travel intensities in the center of the city, higher travel intensities for cross-boundary trips in suburban counties, and higher travel intensities for cross-city travel in border counties. (2) Travel primarily involves close connections between central urban areas and surrounding counties, with a positive correlation between city rank and travel intensity; inter-city travel is concentrated on the spillover boundaries of core cities, forming leading connection characteristics of central encirclement, boundary interaction, and enclave connections. (3) There are clear differences in the travel clusters between general travel and inter-city travel, with general travel clustering involving individual cities forming clusters; central urban areas jointly form spatially jumping inter-city clusters, with the boundary cluster centered on Beijing already in substantial scale. The differentiated regional functional positioning under different travel perspectives reveals that central urban area clusters play a regional connecting role, with the central urban areas of Beijing and Shijiazhuang simultaneously serving inter-city hub functions, yet a large number of peripheral counties participate less in travel connections. Analyzing the differentiated characteristics of general travel and inter-city travel demand among counties can clarify the transportation development positioning of different areas, providing a planning basis for the construction of a comprehensive transportation network in the urban agglomeration, thus promoting urban-rural and inter-city coordinated development.

Key words： urban agglomeration; travel network; intra-city travel; inter-city travel; spatial characteristics; Beijing-Tianjin-Hebei region

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