空间中人类住区的使用(居住)密度与提供(平原)密度:概率消费模型的一个实例

F. Leurent
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引用次数: 0

摘要

对于居住在某个地区的人来说,这个地区的人口越密集,人际交往和社会交往、就业和各种便利设施的机会就越多。人类住区的空间密度基本上是按地研究,即面积加权。人口加权密度或居住密度的概念,将人口密度置于经历人口密度的人的角度。本文将土地单元和人口分别视为各自的统计人口,提出了地理空间中人口密度的概率模型,并将人口密度作为每个统计人口中的随机变量,具有特定的概率密度函数和累积分布函数。生活密度、“使用密度”的PDF是通过消费模型从平原的“提供密度”导出的:因此,它们的关系是一个已建立的概率模型的特定实例。平均使用密度系统地大于其提供的对应物:该比率等于1加上提供密度变化系数的平方。两种统计分布之间的关系用洛伦兹曲线来说明;相关的基尼指数构成了地理空间中人口异质性的指标。本文以法国截至2019年的人口为例,对该方法进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Used (Lived) versus Offered (Plain) densities of human settlement in space: An instance of the probabilistic consumption model
To people living in areas, the denser is the area, the more numerous are the opportunities of interpersonal and social interaction, of employment and of amenities of all kinds. The spatial density of human settlement is basically studied according to places, that is, area weighted. The notion of population-weighted density, or lived density, puts human density in the perspective of the people that experience it. Considering, respectively, the land units and the people as statistical populations of their own, the article provides a probabilistic model of human density in a geographical space, as a random variable in each statistical population, with specific probability density functions (PDFs) and cumulative distribution functions. The PDF of lived, “Used density” is derived from that of the plain, “Offered density” through a consumption model: Thus, their relationship is a specific instance of a well-established probabilistic model. The average used density is systematically larger than its offered counterpart: The ratio amounts to one plus the squared coefficient of variation of offered density. The relation between the two statistical distributions is illustrated using a Lorenz curve; the associated Gini index constitutes an indicator of population heterogeneity in a geographical space. A case of France’s population as of 2019 is studied to demonstrate the methodology.
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CiteScore
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