GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2017.05.008
Understanding uneven urban expansion with natural cities using open data
Long, Ying1,2; Zhai, Weixin3,4; Shen, Yao5; Ye, Xinyue6
2018-09-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2018
卷号177页码:281-293
文章类型Article
语种英语
国家Peoples R China; USA; England
英文摘要

The last several decades have witnessed a rapid yet uneven urban expansion in developing countries. The existing studies rely heavily on official statistical yearbooks and remote sensing images. However, the former data sources have been criticized due to its non-objectivity and low quality, while the latter is labor and cost consuming in most cases. Recent efforts made by fractal analyses provide alternatives to scrutinize the corresponding "natural urban area". In our proposed framework, the dynamics of internal urban contexts is reflected in a quasi-real-time manner using emerging new data and the expansion is a fractal concept instead of an absolute one based on the conventional Euclidean method. We then evaluate the magnitude and pattern of natural cities and their expansion in size and space. It turns out that the spatial expansion rate of official cities (OCs) in our study area China has been largely underestimated when compared with the results of natural cities (NCs). The perspective of NCs also provides a novel way to understanding the quality of uneven urban expansion. We detail our analysis for the 23 urban agglomerations in China, especially paying more attention to the three most dominating urban agglomerations of China: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD). The findings from the OC method are not consistent with the NC method. The distinctions may arise from the definition of a city, and the bottom-up NC method contributes to our comprehensive understanding of uneven urban expansion.


英文关键词Urban expansion Social media Head/tail division New data Open data China
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000437967500026
WOS关键词LAND-USE CHANGE ; HEAD/TAIL BREAKS ; CHINA ; URBANIZATION ; DYNAMICS ; PATTERNS ; CITY ; EVOLUTION ; GROWTH
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/25178
专题资源环境科学
作者单位1.Tsinghua Univ, Sch Architecture, Beijing, Peoples R China;
2.Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China;
3.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing, Peoples R China;
4.Univ N Carolina, Dept Geog & Earth Sci, Charlotte, NC USA;
5.UCL, London, England;
6.Kent State Univ, Kent, OH 44240 USA
推荐引用方式
GB/T 7714
Long, Ying,Zhai, Weixin,Shen, Yao,et al. Understanding uneven urban expansion with natural cities using open data[J]. LANDSCAPE AND URBAN PLANNING,2018,177:281-293.
APA Long, Ying,Zhai, Weixin,Shen, Yao,&Ye, Xinyue.(2018).Understanding uneven urban expansion with natural cities using open data.LANDSCAPE AND URBAN PLANNING,177,281-293.
MLA Long, Ying,et al."Understanding uneven urban expansion with natural cities using open data".LANDSCAPE AND URBAN PLANNING 177(2018):281-293.
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