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基于夜间灯光数据的中国城市增长与收缩时空动态特征分析
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F299.21;TP79

基金项目:

国家自然科学基金(51778560);第一师阿拉尔市科研课题(2018XX03);塔里木大学校长基金(TDZKSS202155)


Spatiotemporal dynamic characteristics of urban growth and shrinkage in China based on night light data
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    摘要:

    城市增长与收缩都是快速城镇化的必然结果,过度的增长或收缩都会带来资源错配、生态环境恶化等问题.本文基于1992—2019年中国各区县夜间灯光数据,深度挖掘中国城市增长与收缩的时空动态特征及其成因,以期为未来新型城镇化建设、资源均衡配置和国家发展政策制定提供借鉴依据.研究发现:1)中国城市增长与收缩现象交替发生,城市增长与收缩两极分化特征越来越明显.2)形成了较稳定的增长轨迹,城市增长的重心一直在南阳市内移动,并呈现出带状为主、点状为辅的增长结构.其中带状增长结构包括沿海城市带和近期形成的"北京—郑州—南昌"城市带,点状结构是指以内陆省会城市为核心的集聚增长现象.3)形成了由东北转向华中,再转向华西的城市收缩轨迹,收缩重心由邢台市转移到安康市,收缩重心出现了明显的变动;收缩结构由分散的点状收缩逐渐转变成了"北京—西安—成都—昆明"方向的带状收缩结构.4)全球化的金融周期变化、产业结构转型、国家政策等因素都是中国城市增长、收缩的主要动因.

    Abstract:

    Urban growth and shrinkage are the inevitable results of rapid urbanization.Excessive growth or shrinkage will bring problems such as resource mismatch and ecological environment deterioration.Based on the nighttime light data of China's districts and counties from 1992 to 2019,this paper explores the temporal and spatial dynamic characteristics and underlying causes of urban growth and shrinkage in China,with purpose to provide reference for policy-making on future urbanization,balanced allocation of resources and national development.The results show that urban growth and shrinkage alternate in China with increasingly obvious polarization between growth and shrinkage.Centered in Henan's Nanyang city,the urban growth is mainly a belt structure supplemented by points,in which the belts include the coastal urban belt and the recently formed "Beijing-Zhengzhou-Nanchang" urban belt,and the points refer to inland provincial capitals as agglomeration growth cores.While the urban shrinkage,centered in Shaanxi's Ankang city (shifted from Hebei's Xingtai city),has gradually changed from scattered point shrinkage to belted shrinkage along "Beijing-Xi'an-Chengdu-Kunming".The underlying reasons of urban growth and shrinkage in China include global financial cycle,industrial structure transformation,national policies,etc.

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张小东,韩昊英,罗国娜,唐拥军,刘爽.基于夜间灯光数据的中国城市增长与收缩时空动态特征分析[J].南京信息工程大学学报(自然科学版),2022,14(3):277-286
ZHANG Xiaodong, HAN Haoying, LUO Guona, TANG Yongjun, LIU Shuang. Spatiotemporal dynamic characteristics of urban growth and shrinkage in China based on night light data[J]. Journal of Nanjing University of Information Science & Technology, 2022,14(3):277-286

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  • 收稿日期:2021-09-02
  • 在线发布日期: 2022-06-11

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