地理研究 ›› 2014, Vol. 33 ›› Issue (1): 132-142.doi: 10.11821/dlyj201401012

• 城市研究 • 上一篇    下一篇

湖北省城乡建设用地城镇化率及其影响因素

刘耀林, 李纪伟, 侯贺平, 刘艳芳   

  1. 武汉大学资源与环境科学学院, 地理信息系统教育部重点实验室, 武汉430079
  • 收稿日期:2012-10-15 修回日期:2013-04-05 出版日期:2014-01-10 发布日期:2014-01-10
  • 通讯作者: 刘艳芳(1959- ),女,广西容县人,教授,博士生导师。主要从事区域规划和经济地理研究及地理信息应用工程研究。E-mail:yfliu610@163.com
  • 作者简介:刘耀林(1960- ),男,湖北黄冈人,荷兰瓦赫宁根博士,长江学者特聘教授,博士生导师。主要从事地理信息系统、地理空间数据挖掘和土地评价、规划模型等方面研究。E-mail:yaolin610@163.com
  • 基金资助:
    国家科技支撑计划项目(2012BAJ22B02)

Study on urbanization rate of urban-rural construction land and its influencing factors:A case study of Hubei Province

LIU Yaolin, LI Jiwei, HOU Heping, LIU Yanfang   

  1. Key Laboratory of Geographic Information System, Ministry of Education, School of Resource and EnvironmentalSciences, Wuhan University, Wuhan 430079, China
  • Received:2012-10-15 Revised:2013-04-05 Online:2014-01-10 Published:2014-01-10

摘要: 针对中国城镇化进程中城乡建设用地结构不合理的问题,提出了表征城乡建设用地结构的土地城镇化率,并以人口城镇化率为基础结合城乡用地水平构建了其理想值,借助Logistic城镇化过程模型分析了土地与人口城镇化率之间的动态耦合关系。以湖北省为例进行理论验证,根据理想值对各区县进行了城乡建设用地结构的合理性评价,并从社会经济和地理空间两方面分析了其影响因素。结果表明,非农产业比重、人口城镇化率和地形条件是土地城镇化率的主要影响因素,同时基于空间自相关性的热点分析表明,土地城镇化热点地区周围的土地城镇化率往往偏高。因此,可依据产业结构、城镇化水平、地形条件等因素制定差别化的城乡用地政策,并借助空间分析手段识别重点监控区域,提高决策的科学性。

关键词: 土地城镇化, 城乡建设用地结构, 人口城镇化, Logistic模型, 空间自相关, 湖北省

Abstract: Excessive growth of urban construction land and inappropriate/unsustainable land use structure are two urgent issues facing the rapid urbanization in China. While most studies focus on construction land growth, little attention has been paid to understanding and adjusting urban-rural construction land structure. Against this backdrop, this paper characterizes land use structure with the urban-rural land conversion rate and identifies theoretically optimal values for individual places. Theoretical values for land conversion rate are constructed based on urbanization level and understood by a logistic urbanization model. Our empirical framework is applied to understand the urbanization of urban-rural construction land in Hubei Province, China. Results suggest that land use urbanization is positively associated with non-agriculture sector, urban population, terrain, and development hotspots. Our results provide insights for relevant land use and urbanization policies.

Key words: land urbanization, structure of urban-rural construction land, population urbanization, Logistic model, spatial autocorrelation