河北大学学报(哲学社会科学版) ›› 2016, Vol. 41 ›› Issue (4): 91-100.DOI: 10.3969/j.issn.1005-6378.2016.04.013

• 论著 • 上一篇    下一篇

基于公路交通流的城市群关联网络研究——以京津冀城市群为例

傅毅明,赵彦云   

  1. 中国人民大学 统计学院,北京100872
  • 收稿日期:2016-04-20 出版日期:2016-07-25 发布日期:2016-07-25
  • 作者简介:傅毅明(1984—),男,福建南安人,经济学博士,中国人民大学统计学院博士后、高级工程师,主要研究方向:公共政策分析、大数据统计应用等。
  • 基金资助:
    中央在京高校重大成果转化项目:“京津冀协同一体化发展研究”专项资助。National Universitys Transformation of Major Achievements: “Research on the Policy for Collaborative Development of Beijing Tianjin Hebei”

Research on the Association Network of Urban Agglomeration Based on Highway Traffic Flow——Taking BeijingTianjinHebei Urban Agglomeration as an Example

FU Yi ming, ZHAO Yan yun   

  1. College of Statistics,Renmin University of China, Beijing 100872, China
  • Received:2016-04-20 Online:2016-07-25 Published:2016-07-25

摘要: 构建了基于公路交通流大数据的城市群关联网络分析方法,并应用于京津冀城市群分析,为京津冀协同发展提供政策建议。实证分析上,基于河北地区公路收费数据建立了冀中南城市群OD矩阵,并结合城市GDP、人口和地理位置等因素,对城市层面和收费站层面的交通流分布进行统计分析,揭示冀中南城市群内部及其与京津和周边地区的交通流特征;进一步应用重力模型对城市群交通流进行模拟预测,深化了交通流大数据在城市群关联网络的模拟应用。研究发现,冀中南城市群的交通流分布呈现内外分化特征,内部以就近出行为主,对外交通则有明显的过境交通特征;城市群关联网络发展水平较低,一体化程度不高,石家庄的影响辐射范围有限,网络的核心与联系有待加强。建议加快建设京津冀交通大数据分析平台,在大数据开放共享与经济运行监测预警等国家大数据战略重点领域先行探索突破。

关键词: 公路交通流, 大数据, 京津冀城市群, 关联网路

Abstract: This study constructed an analysis method of urban agglomeration association network based on large data of highway traffic flow, applied it to analyze Beijing Tianjin Hebei urban agglomeration, and provided policy recommendations for the coordinated development of Beijing Tianjin Hebei areas. By empirical analysis, based on Hebei Province highway toll data,the paper established an OD matrix in middle and south of Hebei urban agglomeration, and by combining with the urban GDP, population and geographical location and other factors, the paper did the statistical analysis on the city level and charges station level of traffic flow distribution to reveal the traffic flow characteristics in middle and south of Hebei urban agglomeration and Beijing Tianjin and the surrounding areas; further, by using the gravity model to simulate the traffic flow of urban agglomeration, the application of the large data of traffic flow in the urban agglomeration association network is deepened. The results showed that the distribution of traffic flow in Mid southern Hebei region is differentiation between internal travel which is near and external travel which is border crossing. The association network of Mid southern Hebei region is weak, the degree of integration is root high,the influence range of shijiazhuang is limited,and the core and connection of the network should be strengthened. Finally,the suggestions on accelerating the construction of Beijing Tianjin Hebei traffic big data platform were given for exploring the big data open sharing and economic operation monitoring and early warning and other national big data strategies.

Key words: highway traffic flow, big data, Beijing Tianjin Hebei urban agglomeration, association network

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