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“城区常住人口”在收缩城市识别中的特点——基于文献综述和多源数据的检验

Characteristics of"resident population in physical urban area"in identifying shrinking cities:An examination based on literature review and multi-source data
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摘要 在中国人口达峰和城镇化发展到达新阶段的背景下,关于中国收缩城市的研究成为近年来学界的一个关注点。本文基于系统性文献综述和实证研究等方法,讨论了戚伟等(地理研究,第42卷第10期)采用“城区常住人口”数据识别中国收缩城市的研究。本文对中国全部的村级行政单元进行了地理编码,并基于城乡分类代码,近似绘制出戚伟等文中提到的“城区”边界。通过将这些边界与遥感图像、城市实体地域进行比较,讨论了“城区常住人口”数据所界定的“城区范围”的特点。进一步运用多源人口数据,从城市实体地域视角识别了中国2010-2020年收缩城市的数量和占比。研究发现:(1)人口统计中的城乡分类代码所划分的城区,涵盖多个城市实体地域,难以分析各个城市实体地域内部的人口变化。(2)“城区常住人口”数据难以全面展现近千个县域内中小城镇(如县城)的人口变化情况。本文运用中国2444个城市实体地域的边界,结合WorldPop、LandScan等多种数据源,发现中国收缩的城市实体地域数量占比在26.7%~31.3%之间。有关中国收缩城市的识别,应当综合多源指标和多类研究的结论进行分析,从而减少单一数据源的不确定性对于识别结果的干扰。 In the context of China reaching its population peak and moving into a new stage of urbanization,the study of shrinking cities has increasingly captured the attention of the academic community.This paper undertakes a thorough systematic review of the literature and empirical studies,focusing particularly on the methodologies used for identifying shrinking cities in China.One key method discussed is from the study which utilized"resident population in physical urban area"data to identify shrinking cities.To enhance the precision of this methodology,our study conducted extensive geocoding of all village-level administrative units across China.Using urban-rural classification codes,we approximated the boundaries of"urban areas"as referred to"resident population in physical urban area"data.This allowed for a more nuanced comparison of these theoretically derived boundaries with those observed through remote sensing technologies and actual boundaries of natural cities.This comparison sheds light on the specific characteristics of defining urban areas solely based on this data.Further exploring the implications of these findings,our research utilized multi-source population data to identify the number and proportion of shrinking cities in China between 2010 and 2020.The study uncovered some insights:Firstly,the urban-rural classification codes used in population statistics tend to merge numerous natural cities into a single urban unit.This aggregation makes it challenging to analyze population changes within individual natural cities.Secondly,the"resident population in physical urban area"data is not suitable to accurately reflect the population dynamics in nearly a thousand county-level small and medium-sized towns,which are crucial to understanding the broader urbanization trends.Due to these characteristics,the estimations of shrinking city numbers and proportions as defined by this data require further discussion.By applying the boundaries of 2444 natural cities in China and integrating multiple data sources like W
作者 王新宇 龙灜 WANG Xinyu;LONG Ying(School of Architecture,Tsinghua University,Beijing 100084,China)
出处 《地理研究》 CSCD 北大核心 2024年第7期1929-1939,共11页 Geographical Research
基金 国家自然科学基金重大项目(62394331、62394335) 国家自然科学基金面上项目(52178044)。
关键词 收缩城市识别 城市实体地域 系统性文献综述 城区常住人口 shrinking city identification natural cities systematic literature review resident population in physical urban area
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