地理科学进展 ›› 2014, Vol. 33 ›› Issue (2): 241-248.doi: 10.11820/dlkxjz.2014.02.010

• 城市与区域发展 • 上一篇    下一篇

地级行政区尺度的中国公路网络发展水平与协调性评价

刘东1,2,3, 金凤君1   

  1. 1. 中国科学院地理科学与资源研究所, 北京100101;
    2. 中国科学院大学, 北京100049;
    3. 交通运输部规划研究院, 北京100028
  • 收稿日期:2013-04-01 修回日期:2013-11-01 出版日期:2014-02-25 发布日期:2014-02-25
  • 作者简介:刘东(1978-),河北衡水人,博士研究生,主要研究方向为交通地理、区域规划,E-mail:leastar@sohu.com。
  • 基金资助:
    国家自然科学基金项目(41171107);中国科学院地理科学与资源研究所“一三五”战略科技计划项目(2012QY004,2011RC201)。

Development level and coordination of highway networks of prefecture-level administrative regions in China

LIU Dong1,2,3, JIN Fengjun1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of ChineseAcademy of Sciences, Beijing 100049, China;
    3. Transport Planning and Research Institute, MOT, Beijing 100028, China
  • Received:2013-04-01 Revised:2013-11-01 Online:2014-02-25 Published:2014-02-25
  • Contact: 金凤君(1961-),内蒙古赤峰人,研究员,博士生导师,主要从事经济地理与区域经济研究,E-mail:jinfj@igsnrr.ac.cn。 E-mail:leastar@sohu.com;jinfj@igsnrr.ac.cn
  • About author:K902

摘要: 对不同尺度区域的交通发展研究是交通地理学研究的重要范畴。中国不同区域间公路网络发展水平存在较大差异,仅在31个省级行政区尺度上考察这种差异存在较大局限性;在地级行政区尺度上的研究能够更加精确地考察公路网发展的区域差异。以全国333个地级行政区为研究对象,首先选取公路网络相关的9个指标,运用加权平均法构建区域公路网络综合评价模型,对地级行政区尺度公路网络发展水平进行评价,并划分为三级区域,空间上具有东、中、西阶梯状分布的特征;其次,选取7个区域经济相关指标,构建区域经济综合评价模型以及区域公路网络发展与经济发展的相关性模型,证明两者之间具有显著的正相关关系;然后,通过计算协调指数,对333个地级行政区公路网络与经济发展的协调性进行了评价,并划分为“超前”、“协调”和“滞后”三类区域。其中滞后区域与第三级区域主要分布于西部地区,公路网络发展水平较低且滞后于经济发展的地级行政区有92个,是未来中国公路网络优化升级的重点区域。

关键词: 地级行政区, 发展水平, 公路网络, 协调性, 中国

Abstract: The study of regional transport development in different scales is one of important areas in transport geography research. There are big differences among the regions of China in highway network development. Examining the differences in the scale of prefecture-level administrative region (PAR) is more accurate than in provincial scale. In this paper, taking the 333 PARs in China as a research object, we studied the differences among the regions in highway network development and evaluated the degree of coordination between highway network development and economic development. Firstly, we selected 9 indicators reflecting the scale, quality, accessibility and transportation volume of highway networks and, by using the weighted average method, established a comprehensive evaluation model to evaluate the levels of highway network development and calculate highway indicators for the 333 PARs. Secondly, we selected 7 economic indicators to establish a comprehensive evaluation model for the regional economic development, and calculated the economic indicators for the 333 PARs. Thirdly, by using Pearson formula, we calculated the correlation coefficient between the highway index and the economic index. Finally, we established a coordination evaluation model and calculated the coordination index between the highway network development and the economic development for each PAR. The results and conclusions are as follows. (1) There are big differences among the different regions in highway network development; the highway indicators of the 333 PARs varied from 0.361 to 5.992, with Dongguan City and Shenzhen City being the highest and Ngari Prefecture and Nagqu Prefecture the lowest. Based on the highway index, the 333 PARs are classified into three levels, including 104, 121 and 108 PARs respectively, which shows a ladder-like distribution in a large scale, corresponding to the spatial pattern of Eastern, Central and Western China. It is worth pointing out that the 108 PARs in the third, or the underdeveloped, level of highway network development are mainly located in Western China. (2) The correlation coefficient between the highway index and the economic index was calculated to be 0.8328, which shows a highly positive correlation between the two index systems. (3) The coordination index of the 333 PARs varied from 0.223 to 1.634, with Dongguan City being the highest and Alxa League the lowest. Based on the coordination index, the 333 PARs are classified into three categories, namely, the advanced, coordinated, and lagged, including 90, 85 and 158 regions respectively. Here "advanced" means that the highway network development is ahead of the regional economic development; "coordinated" means highway network development is coordinated with the regional economic development; "lagged" means the highway network development is lagged behind the regional economic development. The spatial distribution of the three categories is different from the distribution of the three levels, but 92 PARs are in both the lagged category and the third level, mainly located in West China. For the lagged and underdeveloped PARs, the measures should be taken to optimize and upgrade the highway networks and meet the needs of the regional economic development.

Key words: China, coordination, development level, highway network, prefecture-level administrative region

中图分类号: 

  • K902