Spatial analysis of employment and population density: The case of the agglomeration of Dijon 1999
Spatial analysis of employment and population density: The case of the agglomeration of Dijon 1999
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DOI：
10.1111/j.1538-4632.2004.tb01130.x
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发表时间：
2004-04-01
影响因子：
3.6
通讯作者：
Le Gallo, J
中科院分区：
文献类型：
--
作者：
Baumont, C;Ertur, C;Le Gallo, J
本文的目的是分析第戎城市群（法国勃艮第大区首府）的城市内部人口和就业的空间分布。我们研究了这种集聚是否遵循了大多数城市地区观察到的工作分散的总体趋势，或者它是否仍然以单中心模式为特征。为此，我们使用了1999年人口普查数据和就业数据库SIRENE （INSEE）在社区和IRIS（城市基础统计区）层面的136个观察样本。首先，采用探索性空间数据分析方法研究了总就业和就业密度的空间格局。除了CBD之外，IRIS很少被发现具有统计显著性，这与使用具有就业截断的子中心识别的标准方法发现的结果形成对比。其次，为了检验居住人口密度的空间分布，我们估计并比较了不同规格的密度函数：指数负、样条指数和多中心密度函数。此外，利用适当的极大似然、广义矩量方法和贝叶斯空间计量技术，对空间自相关、空间异质性和异常值进行了控制。我们的结果再次突出了第戎集聚的单中心特征。
The aim of this paper is to analyze the intraurban spatial distributions of population and employment in the agglomeration of Dijon (regional capital of Burgundy, France). We study whether this agglomeration has followed the general tendency of job decentralization observed in most urban areas or whether it is still characterized by a monocentric pattern. To that purpose, we use a sample of 136 observations at the communal and at the IRIS (infraurban statistical area) levels with 1999 census data and the employment database SIRENE (INSEE). First, we study the spatial pattern of total employment and employment density using exploratory spatial data analysis. Apart from the CBD, few IRIS are found to be statistically significant, a result contrasting with those found using standard methods of subcenter identification with employment cut-offs. Next, in order to examine the spatial distribution Of residential population density, we estimate and compare different specifications: exponential negative, spline-exponential, and multicentric density functions. Moreover spatial autocorrelation, spatial heterogeneity, and outliers are controlled for by using the appropriate maximum likelihood, generalized method of moments, and Bayesian spatial econometric techniques. Our results highlight again the monocentric character of the agglomeration of Dijon.