Used (Lived) versus Offered (Plain) densities of human settlement in space: An instance of the probabilistic consumption model

F. Leurent
{"title":"Used (Lived) versus Offered (Plain) densities of human settlement in space: An instance of the probabilistic consumption model","authors":"F. Leurent","doi":"10.36922/ijps.v8i2.297","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of population studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36922/ijps.v8i2.297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.30
自引率
0.00%
发文量
0
期刊最新文献
Indian family relationships, marriage, and career choices in the context of globalization: A multigenerational evaluation Marital dissolution in India: Patterns and correlates COVID-19 and the precarious low-skilled workforce in the European Union: Time to call the shots? Assessment of prenatal care adequacy using different normative criteria in a municipality in Santa Catarina, Brazil Interstate outmigration in India and the COVID-19 pandemic: Challenges and emerging perspectives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1