地球信息科学学报 ›› 2019, Vol. 21 ›› Issue (2): 178-189.doi: 10.12082/dqxxkx.2019.180438

• 地理空间分析综合应用 • 上一篇    下一篇

中国建设用地空间格局分析

杨双姝玛1,2(), 黄庆旭1,2,*(), 何春阳1,2, 刘紫玟1,2   

  1. 1. 北京师范大学 地表过程与资源生态国家重点实验室人与环境可持续研究中心,北京 100875
    2. 北京师范大学 地理科学学部资源学院土地资源与区域发展研究中心,北京 100875
  • 收稿日期:2018-09-03 修回日期:2018-11-26 出版日期:2019-02-20 发布日期:2019-01-30
  • 通讯作者: 黄庆旭 E-mail:shuangshumayang@mail.bnu.edu.cn;qxhuang@bnu.edu.cn
  • 作者简介:

    作者简介:杨双姝玛(1994-),女,广东佛山人,硕士生,主要从事为城市景观过程及其影响。E-mail: shuangshumayang@mail.bnu.edu.cn

  • 基金资助:
    北京市科技新星项目(Z181100006218049).

Quantifying Spatial Pattern of Built-up Areas in China

Shuangshuma YANG1,2(), Qingxu HUANG1,2,*(), Chunyang HE1,2, Ziwen LIU1,2   

  1. 1. Center for Human-Environment System Sustainability, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    2. School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • Received:2018-09-03 Revised:2018-11-26 Online:2019-02-20 Published:2019-01-30
  • Contact: Qingxu HUANG E-mail:shuangshumayang@mail.bnu.edu.cn;qxhuang@bnu.edu.cn
  • Supported by:
    Beijing Nova Program, No.Z181100006218049

摘要:

全面准确地分析中国建设用地空间格局,是衡量城市景观的生态环境效应和制定区域发展战略的重要依据。为此,本文基于空间分辨率为12 m的2012年的全球城市足迹数据,分别在国家、经济区和城市群量化了中国建设用地空间格局。结果表明,12 m分辨率的数据能更细致和准确地刻画中国建设用地的特征。2012年中国建设用地面积为1.73×105 km2,占中国陆地总面积的1.81%。从建设用地的空间格局来看,城市群尺度的建设用地破碎度最高,其建设用地平均斑块密度分别是国家和经济区平均水平的3.66倍和1.62倍。进一步分析表明,社会经济和地形因素共同影响建设用地空间格局。今后,应针对建设用地空间格局破碎问题,因地制宜地制定合理的措施,推动中国建设用地的合理发展。

关键词: 建设用地, 空间格局, 全球城市足迹, 多尺度分析, 城市可持续性

Abstract:

Accurately quantifying spatial pattern of built-up areas is of great significance to analyzing the ecological and environmental impacts of the built-up landscape and planning for regional development. In this paper, we used the Global Urban Footprint (GUF) data with 12 m spatial resolution in 2012 to analyze the spatial pattern of built-up areas in China at three scales, i.e., the national, economic zone and urban agglomeration scales. Specifically, we chose six landscape metrics, i.e., total area of the built-up area, percentage of the built-up area of the landscape, number of patches, patch density, landscape shape index and mean Euclidean nearest-neighbor distance to measure spatial pattern of the built-up areas. Then, we explored the relationship between spatial pattern of built-up area and socioeconomic variable at different scales. The results showed the 12 m GUF dataset can delineate the built-up area in China with higher accuracy and more details, compared to previous coarse resolution datasets. The built-up areas reached 1.73×105 km2 in 2012, accounting for 1.81% of the total land area in China. At the economic zone scale, more than half of built-up areas concentrated in three economic zones, the Northern Coastal region, the Middle Reaches of the Yellow River and the Eastern Coastal region. From the perspective of the spatial pattern of the built-up areas, the fragmentation of built-up areas was highest at the urban agglomeration scale. The mean patch density at the urban agglomeration scale were 3.66 and 1.62 times as large as those at the national and economic zone scales. The results of correlation analysis indicated that population and economic level played important roles in influencing the spatial pattern of built-up areas. The number of patches and the degree of fragmentation for built-up areas increased with the amount of urban residents, gross domestic product and investment in the fixed assets. The correlation coefficients between these two sets of measurements ranged from 0.55 to 0.94 (P<0.05). In the future, we should make place-based plans to solve the fragmentation of the built-up areas and to promote a rational development of built-up areas in China.

Key words: built-up areas, spatial pattern, Global Urban Footprint, multi-scale analysis, urban sustainability