Department of Geography, University of Colorado, Boulder, USA.
CUNY Institute for Demographic Research and Baruch College, Marxe School of International and Public Affairs, City University of New York, New York, USA.
Sci Data. 2019 Dec 16;6(1):321. doi: 10.1038/s41597-019-0329-6.
While the population of the United States has been predominantly urban for nearly 100 years, periodic transformations of the concepts and measures that define urban places and population have taken place, complicating over-time comparisons. We compare and combine data series of officially-designated urban areas, 1990-2010, at the census block-level within Metropolitan Statistical Areas (MSAs) with a satellite-derived consistent series on built-up area from the Global Human Settlement Layer to create urban classes that characterize urban structure and provide estimates of land and population. We find considerable heterogeneity in urban form across MSAs, even among those of similar population size, indicating the inherent difficulties in urban definitions. Over time, we observe slightly declining population densities and increasing land and population in areas captured only by census definitions or low built-up densities, constrained by the geography of place. Nevertheless, deriving urban proxies from satellite-derived built-up areas is promising for future efforts to create spatio-temporally consistent measures for urban land to guide urban demographic change analysis.
尽管美国的人口主要集中在城市地区已经有近 100 年的历史了,但定义城市地区和人口的概念和衡量标准也在不断变化,这使得跨时间的比较变得更加复杂。我们将大都市统计区(MSA)内的普查区块级别的官方指定城市地区数据系列(1990-2010 年)与全球人类住区图层的建成区卫星衍生一致序列进行了比较和组合,创建了描述城市结构并提供土地和人口估计的城市类别。我们发现,即使在人口规模相似的大都市统计区之间,城市形态也存在相当大的异质性,这表明城市定义存在内在的困难。随着时间的推移,我们观察到仅通过普查定义或低建成密度捕获的区域的人口密度略有下降,土地和人口不断增加,这受到了地理位置的限制。然而,从卫星衍生的建成区中推导出城市代理对于未来创建时空一致的城市土地衡量标准以指导城市人口变化分析的努力是有希望的。