交通运输系统工程与信息

交通运输系统工程与信息 ›› 2013, Vol. 13 ›› Issue (3): 189-195.

• 案例分析 • 上一篇    

我国重点区域公路网络发展水平评价研究

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:2013-02-11 修回日期:2013-04-26 出版日期:2013-06-25 发布日期:2013-07-02
  • 作者简介:刘东（1978-），男，河北衡水人，博士生，高级工程师，工学硕士.
  • 基金资助:

    国家自然科学基金项目（41171107）和中科院地理资源所一三五项目（2012QY004，2011RC201）.

Evaluation on Highway Networks in China’s Key Areas

LIU Dong1,2,3, JIN Feng-jun1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China；3. Trasport Planning and Research Institute, MOT, Beijing 100028, China
  • Received:2013-02-11 Revised:2013-04-26 Online:2013-06-25 Published:2013-07-02

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被引次数

6

摘要：

重点区域是我国人口集聚、城镇密集和经济发达的主要城市化地区，也是公路交通需求较高的区域.由于区域发展的不均衡性，各重点区域的公路网络发展水平存有较大差异.本文依据国家相关区域规划，以全国最具有代表性的27个重点区域为研究对象，选取了反映公路网络规模、质量、通达、运输等四个方面的9个指标，构建了评价指标体系和综合评价模型，对重点区域公路网络的发展水平进行了评价并划分为三类地区.同时，对于公路网面积密度、平均技术等级、平均路面等级、县级节点连通度、建制村通畅率5个指标，分别遴选出发展水平较为落后的区域，为分析制订这些区域公路网络优化升级的对策提供了依据.

关键词: 公路运输, 重点区域, 公路网络, 指标体系, 评价模型, 全国主体功能区规划

Abstract:

Some key areas in China are highly urbanized, economically developed and population concentrated regions which also generate huge highway transportation demand. Because of the unbalanced regional development, there exist huge differences among distinct key areas’ highway networks. According to the regional planning published by the central government, this study takes 27 typical key areas in China as the objectives and selects nine indicators reflecting the scale, quality, accessibility and traffic volume of highway networks. It finally develops an integrated evaluation model. The 27 key areas’ highway networks are evaluated and divided into three classes of area. In the last section, this study selects some underdeveloped areas as examples by five typical indicators: the density of highway network, average technical level, average pavement level, connectivity of countylevel node, and the percentage of villages connected by asphalt or cement road. It then provides a basis for optimization and upgrading of the highway networks in these underdeveloped areas.

Key words: highway transportation, key areas, highway network, indicator system, evaluation model, national main functional area planning

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