长江流域资源与环境 >> 2019, Vol. 28 >> Issue (04): 739-746.doi: 10.11870/cjlyzyyhj201904001

• 区域可持续发展 •    下一篇

长三角高铁网络结构特征及形成机制

韦  胜1,2,徐建刚2*,马海涛3   

  1. (1. 江苏省城市规划设计研究院, 江苏 南京 210036; 2. 南京大学建筑与城市规划学院,江苏 南京 210093; 3. 中国科学院地理科学与资源研究所,北京 100101)
  • 出版日期:2019-04-20 发布日期:2019-05-09

Structural Characteristics and Formation Mechanism of High-Speed Rail Network in Yangtze River Delta

WEI Sheng1,2,XU Jiang-ang2,MA Hai-tao3   

  1. (1. Jiangsu Institute of Urban Planning and Design, Nanjing 210036, China; 2. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China; 3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
  • Online:2019-04-20 Published:2019-05-09

摘要: 采用12306网站的高铁班次数据,基于复杂网络理论,根据优势度指数、站点始发班次数与班次时间分布等指标详细分析了长三角地区高铁网络的空间分布特征。研究结果表明:高铁网络度分布具有2层等级结构特征,可分为“度大于60”和“度小于60”两类高铁站点;高铁对于上海、南京、杭州及其周边城市的通勤具有一定的推动作用;研究区内站点等级差异较大,其中上海虹桥、南京南以及杭州东3个高铁站点占绝对优势;研究区可划分为4个内部联系较为紧密的社团,各社团的组织结构特征可分别归纳为多层级网络结构、稀疏联系的网络结构、组团式网络结构以及具有典型核心团体的组团式结构。最后,对上述研究结论的形成机制进行了详细探讨。

Abstract: Based on the frequency data of high-speed rail services from the 12306 Chinese Timetable website and the complex network theory, this paper analyzes the spatial distribution characteristics of the high-speed rail network in the Yangtze River Delta in detail by investigating some indexes, such as dominance index, the service frequency of the stations as starting station, the time distribution of train services, and so on. The result firstly shows that the degree distribution of high-speed rail network has a two-tier hierarchical structure, and the stations can be divided into two types, “degree greater than 60” and “degree less than 60”. Secondly, the high-speed rail exerts a promoting effect on the commuting between Shanghai, Nanjing, Hangzhou and their surrounding cities. Thirdly, a great difference in the grade of stations is found, three high-speed railway stations, Shanghai Hongqiao, Nanjing South and Hangzhou East are the dominant among those stations. Then this paper divides the study area into four closely related communities, and the organizational structure of those communities can be described as multi-level network, sparse network, group network and group with typical core. Finally, the formation mechanism of the above conclusions is discussed.

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