Understanding urban China with open data

被引：68

作者：

Liu, Xingjian ^{[1
]}

Song, Yan ^{[2
]}

Wu, Kang ^{[3
]}

Wang, Jianghao ^{[4
]}

Li, Dong ^{[5
]}

Long, Ying ^{[6
]}

机构：

[1] Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China

[2] Univ N Carolina, Chapel Hill, NC USA

[3] Capital Univ Econ & Business, Beijing, Peoples R China

[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100864, Peoples R China

[5] China Acad Urban Planning & Design, Beijing, Peoples R China

[6] Beijing Inst City Planning, Beijing, Peoples R China

来源：

CITIES | 2015年 / 47卷

基金：

中国国家自然科学基金;

关键词：

China; Open data; Urban analytics; FEATURED GRAPHIC; BIG DATA; INFORMATION; CHALLENGES;

D O I：

10.1016/j.cities.2015.03.006

中图分类号：

TU98 [区域规划、城乡规划];

学科分类号：

0814 ; 082803 ; 0833 ;

摘要：

A solid understanding of urbanizing China - the world's largest and most rapidly transforming urban society - calls for improved urban data provision and analysis. This paper therefore looks at major technological, social-cultural, and institutional challenges of understanding urban China with open data, and showcases our attempt at understanding Chinese cities with open urban data. Through our showcases, we hope to demonstrate the usefulness of open urban data in (1) mapping urbanization in China with a finer spatiotemporal scales; (2) reflecting social and environmental dimensions of urbanization; and (3) visualizing urban China at multiple scales. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：53 / 61

页数：9

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