地理学报 ›› 2016, Vol. 71 ›› Issue (2): 281-.doi: 10.11821/dlxb201602008

• 交通地理 • 上一篇    下一篇

高速交通网络时空结构的阶段性演进及理论模型----以江苏省高速公路交通流网络为例

柯文前1,2,3(), 陆玉麒3(), 陈伟4, 丁毅辉5, 杨青3   

  1. 1. 福建师范大学地理研究所,福州 350007
    2. 湿润亚热带生态地理过程教育部重点实验室,福州 350007
    3. 南京师范大学地理科学学院,南京 210023
    4. 中国科学院地理科学与资源研究所,北京 100101
    5. 苏州工业园区格网信息科技有限公司,苏州 215000
  • 收稿日期:2015-04-01 修回日期:2015-08-02 出版日期:2016-02-15 发布日期:2016-03-31
  • 作者简介:

    作者简介:柯文前(1988-), 男, 福建晋江人, 博士后, 研究方向为空间结构与交通地理学.E-mail: wqke2005@163.com

  • 基金资助:
    国家自然科学基金项目(41430635, 41571379, 41471319)

Evolutionary stages and theoretical model of high-speed traffic network spatio-temporal structure: A case study of expressway traffic flow network in Jiangsu province

Wenqian KE1,2,3(), Yuqi LU3(), Wei CHEN4, Yihui DING5, Qing YANG3   

  1. 1. Institute of Geography, Fujian Normal University, Fuzhou 350007, China
    2. Key Laboratory of Humid Subtropical Eco-geographical Process (Fujian Normal University), Ministry of Education, Fuzhou 350007, China
    3. College of Geography Science, Nanjing Normal University, Nanjing 210023, China
    4. Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China
    5. Grid Information Technology Company, Suzhou Industrial Park, Suzhou 215000, Jiangsu, China
  • Received:2015-04-01 Revised:2015-08-02 Online:2016-02-15 Published:2016-03-31
  • Supported by:
    National Natural Science Foundation of China, No.41430635, No.41571379, No.41471319

摘要:

高速交通网络作为地区社会经济联系空间结构塑造的显著力量,具有关键指征作用.在江苏省内高速公路交通流网络2004年1月-2012年12月连续时空尺度上的三维动态OD数据支撑下,引入非负张量分解的时空分析方法,对高速公路交通流网络阶段性演进特征和时空结构分析基础上,尝试提炼其理论模型.结论如下:① 江苏省高速公路交通流网络时间结构具有明显的三阶段特征,分别为2004年1月-2005年4月,2005年5月-2008年6月和2008年7月-2012年12月,对应的空间结构由倒"T"字型向倒"下"字型,再向倒"不"字型演变.② 阶段性演进是整体演化过程的重要组成部分,在长尺度上表现为趋势的分段而在小尺度上则为波动结构变化,江苏省高速公路交通流网络现正处于网络提升充实阶段.③ 基于江苏省的实证,归纳演绎了一个由路网离散分布--局部网络建构--区域初步连通--区域发育成网--网络提升充实--网络一体化的6阶段理论模型.

关键词: 理论模型, 阶段性演进, 时空结构, 高速公路网络, 江苏省

Abstract:

High-speed traffic network, as a significant power in molding the spatial structure of regional interaction, has the key indications. In this paper, we constructed a three-dimension matrix of "Origin-Destination-Time" time-evolving network data, which consists of expressway traffic flow among 59 counties and time-evolving series from January 2004 to December 2012 in Jiangsu, a coastal province in China. Supported by the data, we introduce the Non-negative Tensor Factorization (NTF) method to analyze its evolutionary stages and spatio-temporal structure, and then attempt to extract the abstract theoretical model. The conclusions can be drawn as follows: (1) The temporal structure of Jiangsu expressway traffic flow network has three obvious evolutionary stages, namely, January 2004 to April 2005, May 2005 to June 2008, and July 2008 to December 2012. The corresponding spatial structure in three stages are reversed "T" structure, revesed "下" structure and revesed "不" structure, respectively. (2) The stage evolution of high-speed traffic network has always been a key component of the whole spatio-temporal evolution process, which displays the tendency phase division in the long term and the fluctuant variations in the short term. In terms of the evolutionary stages of expressway traffic flow network, Jiangsu has entered the network promotion enrichment stage. (3) Based on the empirical study of Jiangsu's experience, the evolution process theoretical model of expressway traffic flow network can be divided into six stages, i.e., the network scattered distribution stage, the local network construction stage, the regional preliminary connected stage, the network development into a net stage, the network promotion enrichment stage and the network integration stage.

Key words: theoretical model, evolutionary stage, spatio-temporal structure, expressway network, Jiangsu province