The shapes of US cities: Revisiting the classic population density functions using crowdsourced geospatial data.

The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a pattern reflects a trade-off between housing price/commuting cost and employment. However, most previous studies in urban population density functions are based on the E...

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Publicado en:Urban Studies (Sage Publications, Ltd.) Vol. 57; no. 10; pp. 2147 - 2163
Autores principales: Qiang, Yi, Xu, Jinwen, Zhang, Guohui
Formato: Artículo
Publicado: Sage Publications, Ltd. Aug2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Sage Publications, Ltd.
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        atl: The shapes of US cities: Revisiting the classic population density functions using crowdsourced geospatial data.
      aug:
        au:
          Qiang, Yi
          Xu, Jinwen
          Zhang, Guohui
        affil:
          Department of Geography and Environment, University of Hawaii at Manoa
          Department of Civil and Environmental Engineering, University of Hawaii at Manoa
      su:
        United States
        Population density
        Cities & towns -- Population distribution
        Cities & towns
        Commuting
        Economic models
        Geospatial data
      sug:
        subj:
          Population density
          Cities & towns -- Population distribution
          Cities & towns
          Commuting
          Economic models
          United States
          Geospatial data
      keyword:
        交通
        人口分布
        众包地理空间数据
        劳动力
        土地使用
        城市化
        就业
        集聚
        agglomeration
        crowdsourced geospatial data
        employment
        labour
        land use
        population distribution
        transport
        urbanisation
        交通
        人口分布
        众包地理空间数据
        劳动力
        土地使用
        城市化
        就业
        集聚
        agglomeration
        crowdsourced geospatial data
        employment
        labour
        land use
        population distribution
        transport
        urbanisation
      ab: The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a pattern reflects a trade-off between housing price/commuting cost and employment. However, most previous studies in urban population density functions are based on the Euclidean distance, and do not consider commuting cost in cities. This study provides an empirical evaluation of the classic population density functions in 382 metropolitan statistical areas (MSA) in the USA using travel times to city centres as the independent variable. The major findings of the study are: (1) the negative exponential function has the overall best fit for population density in the MSAs; (2) the Gaussian and exponential functions tend to fit larger MSAs, while the power function has better performance for small MSAs; (3) most of the MSAs appear to show a decentralisation trend during 1990–2016, and larger MSAs tend to have a higher rate of decentralisation. This study leverages crowdsourced geospatial data to provide empirical evidence of the classic urban economic models. The findings will increase our understanding about urban morphology, population–job displacement and urban decentralisation. The findings also provide baseline information to monitor and predict the changing trend of urban population distribution that could be driven by future environmental and technological changes.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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