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城乡交错带的三维动态识别及空间演变机制——以厦门市为例
引用本文:梁晨,曾坚. 城乡交错带的三维动态识别及空间演变机制——以厦门市为例[J]. 地理研究, 2021, 40(5): 1404-1420. DOI: 10.11821/dlyj020200416
作者姓名:梁晨  曾坚
作者单位:天津大学建筑学院,天津300072
基金项目:国家重点研发计划(2016YFC0502903)
摘    要:城乡交错带是人地系统矛盾最集中的区域之一,对其进行科学识别与动态监测对中国新时期城乡统筹和空间治理有重大意义.提出了一种综合城乡交错带三维特征指数、动态线性加权与空间自相关分析的空间识别方法,基于LULC数据提取了厦门市1990-2018年城乡交错带的空间范围,进一步通过GIS揭示其格局规模、土地利用、空间功能的演变特...

关 键 词:城乡交错带  动态识别  热点分析  空间演变  驱动机制  厦门市
收稿时间:2020-05-18

Three-dimensional dynamic identification and spatial evolution mechanism of urban-rural fringe:A case study of Xiamen
LIANG Chen,ZENG Jian. Three-dimensional dynamic identification and spatial evolution mechanism of urban-rural fringe:A case study of Xiamen[J]. Geographical Research, 2021, 40(5): 1404-1420. DOI: 10.11821/dlyj020200416
Authors:LIANG Chen  ZENG Jian
Affiliation:School of Architecture, Tianjin University, Tianjin 300072, China
Abstract:Urban-rural fringe (URF) is a region with intense conflicts in the human-environment system. Scientific spatial identification and dynamic monitoring of URF are of great importance to China’s urban-rural integration and spatial governance in the new era. The previous methods show limitations in the URF identification of multi-center cities. Moreover, the evolution mechanism of URF is not clear at present due to inadequacy of long-term monitoring. In this research, a URF spatial identification approach integrating the three-dimensional characteristic index of URF, dynamic linear weights and spatial autocorrelation analysis (Getis-Ord Gi*) was put forward. Through this approach, the URF of Xiamen in 1990, 2000, 2010 and 2018 was identified based on LULC data. Furthermore, the characteristics and driving mechanism of URF evolution was analyzed with application of GIS platform from aspects of spatial pattern, land use and function. The results were as follows: (1) The approach of three-dimensional dynamic spatial identification of URF proved to be effective in long-time identification circumstances. (2) In the past 30 years, the URF of Xiamen kept expanding from 240.50 km2 to 723.20 km2 towards inland region. This process contains four stages, i.e., group forming, integrated expansion, leaping expansion, and internal differentiation. Additionally, it showed characteristic of simultaneous outward loop expansion and inward shrinking. (3) Dynamic degree and changing rate of land use in URF decreased and stabilized after peaking at 26.85% and 22.70 km2/a, respectively, in 2010. Besides, construction land continued occupying cultivated land and other ecological spaces, and the balance of land use structure relied on supplement of external ecological resources. (4) The proportion of spatial units with multifunction continued to increase from 63.80% to 75.72%. In addition, the trade-offs between functions of production and ecology were intense in the early and middle stages of urbanization. In the three spatial functions of URF, living function accounted for the smallest proportion. (5) There is a three-stage evolution path of URF, which is driven by factors of economy, society, policy and environment. This research can enrich theories related with urban spatial structure. In practice, it can also provide quantitative support for the decision-making of spatial planning in urban-rural areas.
Keywords:urban-rural fringe  dynamic identification  hotspots analysis  spatial evolution  driving mechanism  Xiamen  
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