论文推荐 | 用全球统一的城市定义重新思考国家级城镇化率-规划问道

导读

本期为大家推荐的内容为论文“Rethinking the Country-Level Percentage of Population Residing in Urban Area with a Global Harmonized Urban Definition”（用全球统一的城市定义重新思考国家级城镇化率），于2024年5月27日在Cell子刊《iScience》期刊在线发表，欢迎大家学习与交流。

联合国收集了国家一级城市地区人口百分比的全球数据。然而，城市定义的差异使得这些数据无法在各国之间进行比较。本研究使用全球统一定义得出的估计值，评估了联合国统计数据国家定义的PPRUA（城镇化率）。参考联合国的城市化程度框架，我们通过结合三个全球人口数据集、六个城市人口规模阈值和五个城市人口密度阈值的不同配置，提出了90种全球统一的方法来估计PPRUA。这种方法显示了国家一级PPRUA估计值的显著变化，具有较宽的95%置信区间。大多数国家定义的PPRUA介于95%置信区间上限和估计值中值之间，强调了全球统一PPRUA估计的必要性。本研究分析结果和数据对相关政策制定具有重要意义。

论文相关

题目：Rethinking the Country-Level Percentage of Population Residing in Urban Area with a Global Harmonized Urban Definition

（用全球统一的城市定义重新思考国家级城镇化率）

作者：Wenyue Li^1,2,5，Yecheng Zhang^1,5，Mengxing Li³，Ying Long¹^,4,6*

1 School of Architecture, Tsinghua University, Beijing 100084, China

2 School of Architecture, Harbin Institute of Technology, Shenzhen 518055, China

3 Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia

4 Hang Lung Center for Real Estate, Key Laboratory of Ecological Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China

5 These authors contributed equally

6 Lead contact

* Correspondence：ylong@tsinghua.edu.cn

清华大学城市规划系出站博士后、哈尔滨工业大学深圳校区助理教授李文越和清华大学城市规划系博士生张业成为论文共同第一作者。清华大学城市规划系龙瀛副教授为论文通讯作者，莫纳什大学博士生李梦醒为论文合作作者。研究由中国国家自然科学基金重大项目（项目号：62394335和62394331）和面上项目（城市收缩背景下城市空置的智能测度、机理认知与规划设计响应研究，项目号：52178044）资助。

发表刊物：

iScience

DOI:

https://doi.org/10.1016/j.isci.2024.110125

URL:

https://www.cell.com/iscience/fulltext/S2589-0042(24)01350-6

备注：

全球不同定义的全球城市数据和模型共享：https://data.mendeley.com/datasets/ysxsknw2rb/1，

全球不同定义下各国城镇化率水平以及其他开源人口数据的分析结果见论文附件

摘要ABSTRACT

The UN (United Nations) collects global data on the country-level Percentage of Population Residing in Urban Area (PPRUA). However, variations in urban definitions make these data incomparable across countries. This study assesses national defined PPRUA within UN statistics against estimates we derived using global comparable definitions. Refer to the UN’s Degree of Urbanization framework, we propose 90 global harmonized methods for estimating PPRUA by combining different configurations of three global population datasets, six urban total population thresholds, and five urban population density thresholds. This approach demonstrated significant variations in country-level PPRUA estimations, with wide 95% confidence intervals using the Z score method. Most national defined PPRUA fall between the upper 95% CI and the median of the estimations, underscoring the need for globally harmonious PPRUA estimates. This study advocates for a reassessment of datasets and thresholds in the future and for investigating urbanization on a scale beyond the country level.