Noah J. Durst, School of Planning, Design and Construction, Michigan State University, East Lansing, MI, United States of America.
Esther Sullivan, Department of Sociology, University of Colorado Denver, Denver, CO, United States of America.
PLoS One. 2024 Apr 10;19(4):e0299713. doi: 10.1371/journal.pone.0299713. eCollection 2024.
Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. We conclude by discussing the implications of our findings and suggesting avenues for future research on neighborhood morphology, including ways that it might provide insight into issues such as zoning and land use, housing policy, and residential segregation.
近年来,用于研究城市形态的定量工具取得了新的进展,这使得形态计量学得以发展,它可以描述建筑物的大小、形状和位置;它们之间的关系;以及它们与更广泛的发展模式的关联。尽管这些方法有可能提供对邻里形态塑造邻里和社区的社会经济和人口特征的方式的深刻见解,但这个问题在很大程度上尚未得到探索。本研究使用了美国五个最大的都会区(亚特兰大、波士顿、芝加哥、休斯顿和洛杉矶)中的五个的建筑物占地面积和开源 R 包 foot,考察了美国各个都会区以及城乡景观中的邻里形态差异。主成分分析、无监督分类(K-均值)和普通最小二乘回归分析被用于开发邻里形态的分类法,并检验其与普查区的空间、社会经济和人口特征的关联。研究结果表明,邻里形态存在很大的差异,不仅在五个都会区之间,而且在每个都会区的中心城市、郊区和城市边缘之间都存在差异。我们确定了五种不同类型的邻里,它们代表了不同的发展阶段,并在城市景观中分布不均:这些类型包括城市边缘的低密度邻里;中心城市的混合用途和高密度住宅区;以及郊区城市的统一住宅区。回归分析的结果表明,这些形态中的每一种的流行程度都与人口密度、多户住房的流行程度以及收入、种族/民族、住房拥有率和汽车通勤等社会经济和人口特征的变化密切相关。最后,我们讨论了研究结果的意义,并提出了未来邻里形态研究的途径,包括它如何为分区和土地利用、住房政策和居住隔离等问题提供见解。