地球信息科学学报 ›› 2011, Vol. 13 ›› Issue (2): 170-176,280.doi: 10.3724/SP.J.1047.2011.00170

• 地球信息综合分析 • 上一篇    下一篇

省级主体功能区划的交通优势度的分析与应用——以河北省为例

张新1, 刘海炜1,2, 董文1, 陈华斌1, 池天河1   

  1. 1. 中国科学院遥感应用研究所,北京 100101;
    2. 中国矿业大学(北京),北京 100083
  • 收稿日期:2010-09-23 修回日期:2011-03-03 出版日期:2011-04-25 发布日期:2011-04-25
  • 通讯作者: 张 新(1974-),男,河北省保定人,主要从事遥感空间信息系统的理论与技术研究。 E-mail:zhangx@irsa.ac.cn E-mail:zhangx@irsa.ac.cn
  • 基金资助:

    国家高技术研究发展计划"863"课题 (2009AA12Z225);国家自然科学基金项目(61074132)。

Transport Superioriy Degree Analysis and Application for Major Function Regions Zoning at Provincial Level:A Case Study of Hebei Province

ZHANG Xin1, LIU Haiwei1,2, DONG Wen1, CHEN Huabin1, CHI Tianhe1   

  1. 1. Institute of Remote Sensing Applications, CAS, Beijing 100101, China;
    2. China University of Mining and Technology, Beijing 100083, China
  • Received:2010-09-23 Revised:2011-03-03 Online:2011-04-25 Published:2011-04-25

摘要: 交通是联系地理空间和社会经济活动的纽带。在我国主体功能区划评价中,交通优势度是其中一项重要指标。本文利用最新的基础地理数据及相关统计资料,以河北省147个县域为基本评价单元,进行了GIS空间分析。其构建了河北省交通优势度评价模型,运用层次分析法确定了交通网络密度、交通干线影响度、区位优势度三个因子的权重:0.267、0.404、0.329。同时,对全省的交通网络密度、交通干线影响度和区位优势度,以及各县级行政区的交通优势度状况进行了计算,综合评价结果显示,河北省交通优势度比较高的地区主要集中在石家庄市、秦皇岛市、唐山市、邯郸市及其附近县区,北部山区的交通优势度比较差。最后,将各县的人均GDP状况与交通优势度水平进行对比和定量分析,计算得出两者的相关系数为0.408,呈低度正相关。

关键词: 交通优势度, 主体功能区, GIS, 河北省

Abstract: Transport plays an important role in the history of human civilization and social development, which joins geographical spaces and social economic activities. The transport superiority degree is one of the assessment indexes for the major function regions zoning of our country. The study on Chinese major function regions zoning which oriented transport superiority degree analysis method is of great importance for the major function regions zoning of provinces. By using GIS technology and combined with Hebeis local conditions, we used latest administrative division data, based on geographic database and statistical data of 147 counties of Hebei Province to compute the transport superiority degree. First, the transport dominance computation model is established in this paper. Then density, proximity and accessibility of Hebei Province are analyzed quantitatively and qualitatively. We determined the weights of three indexes by using analytic hierarchy process, and they are 0.267, 0.404 and 0.329. At last, the comprehensive evaluation on the transport superiority degree for each county is achieved. By contrast, the regions of the highest transport superiority degree of Hebei Province concentrate in Shijiazhuang, Qinhuangdao, Tangshan, Handan and their nearby towns. Northern mountain area of Hebei, which merely account for 19% of the total area of the province, has a lower transport superiority degree. Thus, the government should make great efforts to improve the transportation condition in northern mountain area of Hebei, so as to narrow the economic development gap to realize the coordinated development within different regions of Hebei. The majority region of Hebei, which is about 59.2% of the total area, have the middle level or a little better in transport superiority degree, and the level of traffic is comparatively well in Hebei. The result maps reveal the regional difference and the distribution pattern of Hebei, and the result of this paper is provided as reference for traffic planning and major function regions zoning. Furthermore, the per-capita GDP and the transport superiority degree of every county was compared and analyzed. The computation result is that the per-capita GDP of 2006 presents a not very strong positive correlation with the transport superiority degree for each county with a correlative coefficient of 0.408.

Key words: transport superiority degree, main function region, GIS, Hebei Province