地理学报 ›› 2008, Vol. 63 ›› Issue (8): 845-855.doi: 10.11821/xb200808006

• 土地利用 • 上一篇    下一篇

深圳快速城市化地区公路沿线土地利用空间集聚

吕晓芳1,2, 王仰麟1,2, 彭建1, 吴健生2   

  1. 1. 北京大学城市与环境学院, 北京100871;
    2. 北京大学深圳研究生院城市人居环境科学与技术重点实验室, 深圳518055
  • 收稿日期:2007-07-16 修回日期:2008-05-20 出版日期:2008-08-25 发布日期:2008-08-25
  • 通讯作者: 王仰麟, E-mail: ylwang@urban.pku.edu.cn
  • 作者简介:吕晓芳(1978-), 河北省人, 博士研究生, 主要从事景观生态与土地利用研究。
  • 基金资助:

    国家自然科学基金重点项目(40635028)

Spatial Concentration Characteristics of Urban Land Use along Highways in Rapidly Urbanized Region of Shenzhen

LV Xiaofang1,2, WANG Yanglin1,2, PENG Jian1, WU Jiansheng2   

  1. 1. College of Urban and Environmental Sciences,Peking University,Beijing 100871,China;
    2. Shenzhen Graduate School of Peking University,The Key Laboratory for Environmental and Urban Sciences,Shenzhen 518055,China
  • Received:2007-07-16 Revised:2008-05-20 Online:2008-08-25 Published:2008-08-25
  • Supported by:

    National Natural Science Foundation of China, No. 40635028

摘要:

以2005 年深圳市主要公路沿线6 类城市建设用地为研究对象, 基于景观格局指数和空间数据挖掘(SDM) 中的空间关联规则, 研究不同缓冲带内其建设用地单一类型、相邻类型及组合类型的空间聚集特征。结果表明: 主要公路两侧以工业用地为主, “三来一补”、“三 资”企业为主体的外向型乡镇企业加快了特区外的农村城市化进程; 城市公共设施、教育和医疗卫生用地缺乏, 一定程度上妨碍了城市经济功能的协调; 单一类型建设用地景观分异特征趋向于距公路越远, 出现频率越小, 且随着逐渐远离公路线出现了若干次级集中区, 距公路500-1000 m 可作为识别该次级中心的特征带; 两类建设用地之间的空间邻近分布特征表 明, 以各类建设用地为中心与其他类建设用地在公路线附近均表现邻近, 沿线附近和较远距离上随工业用地出现峰值, 同时出现其周围住宅用地的聚集, 特区外该类现象尤为明显; 土地利用组合特征表明各类建设用地均呈很强的空间自相关性, 其中以各类建设用地与工业用 地的组合尤为普遍, 体现了研究区尤其是特区外主要工业承载区中经济活动空间以工业区为 中心的集群效应。

关键词: 快速城市化地区, 景观分异, 聚集特征, 邻域, 土地利用组合, 深圳

Abstract:

Land use and land cover change research needs to paid m ore attention to identify spatial characteristics. Spatial concentration characteristics of urban land use along highw ays, as an im portant econom ic corridor in rapidly urbanized region, are helpful to identify spatial pattern of econom ic activities and expanding rules of urban land use in the future. This paper analyzed the spatial concentration characteristics of urban land use pattern along highw ays in Shenzhen in 2005 by m eans of landscape pattern m etrics and association rule of spatial data m ining. The paper m easured spatial statistical characters and neighborhood characteristics of urban land use pattern along m ain highw ays in three dim ensions respectively, including single land use type, co-location land use types, and com bined land use types. The results are as follow s: Industrial area w as the prim ary land use type along highw ays in Shenzhen. Export-oriented tow nship enterprises accelerated the urbanization process of rural areas outside the special zone. The area of urban public facilities for education and m edical treatm ent w as com paratively sm all,w hich disturbed the harm ony of urban econom ic functions generally.The landscape m etrics of single land use type in all buffer belts presented particular distance-based character, and they also show ed a gradually reducing trend. There w ere som e sem i-concentration centers,especially in the region 500-1000 m eters aw ay from highw ays,and this could be taken as an im portant spatial threshold for further research. Co-location distribution pattern show ed that tw o different urban land use types are m uch closer in adjacent buffer belts near highw ays. Industrial areas are extrem ely concentrated in adjacent and m uch m ore long-distance buffer belts aw ay from highw ays, and follow ed by the concentration of residential districts in the neighborhood. That phenom enon w as extrem ely obvious outside the special zone in Shenzhen. C oncerning spatial characteristics of com bined land use types, this study indicated strong spatial autocorrelation of each urban land use type in the study area. The com binations of industrial area w ith other land use types w ere com paratively com m on, w hich reflected the spatial pattern of econom ic activities of m ain industrial areas in Shenzhen, especially outside the special zone,and presented the effects of local industrial cluster.

Key words: rapidlyurbanizing region, landscape diversification, concentration characteristics, neighborhood, land use combination, Shenzhen