城市实体地域识别及城市规模分布再检验——基于LandScan人口数据的跨国研究  

Physical city identification and city size distribution retested:A cross-country study based on Land Scan Population Data

作　　者：王妤 孙斌栋[1] 匡贞胜 WANG Yu

机构地区：[1]华东师范大学城市与区域科学学院

出　　处：《城市问题》2021年第10期46-55,共10页Urban Problems

摘　　要：精准识别城市空间范围及其人口规模一直是城市与区域研究中面临的一大挑战,也是跨国城市研究中解决分析结论不可比的关键。基于LandScan人口数据和欧空局的土地覆盖分类数据,通过不透水面提取、潜在人类聚居地识别、人类聚居地合并、城市实体地域筛选等步骤,识别了2000—2018年全球范围内所有具有统一定义的城市实体地域,在此基础上,采用Shapiro-Wilk检验和普通最小二乘法重新对各国城市规模分布模式进行了验证。结果显示,2000—2018年间,绝大部分国家城市规模分布近似符合帕累托定律而非Gibrat定律,这意味着帕累托定律在全球城市规模分布中更具普适性。Precise identification of the spatial extent of cities and their population size has been a major challenge in urban and regional studies.It is also key to addressing the incomparability of analytical findings in cross-national urban studies.Based on LandScan population data and ESA land cover map,this paper identifies all comparable physical cities with a uniform definition globally from 2000 to 2018 through a four-step process of impervious surface extraction,potential human settlement identification,human settlement merging,and physical city screening.Then it examines the pattern of city size distribution across countries by using the Shapiro-Wilk test and the Ordinary Least Square method.The results show that the city size distribution of vast majority of countries have been approximately consistent with Pareto’s Law since 2000,rather than its special form(Zipf’s Law)or Gibrat’s Law,implying that Pareto’s Law is more generalisable in the global city size distribution.

关 键 词：城市实体地域识别 城市规模分布 帕累托定律 Gibrat定律 全球 

分 类 号：F291[经济管理—国民经济]