论文标题
农村和城市地区的多尺度分析:印度地区的案例研究
Multi-scale analysis of rural and urban areas: A case study of Indian districts
论文作者
论文摘要
本文探讨了同种城市规模规律定律的概念的扩展,以研究印度地区的规模行为,以及城市人口和农村人口。为了进行,我们选择了印度的地区(农村和城市),这是一个相对较大的地方行政部门,在一个国家内或多或少地独立运作。这项跨学科的工作集中于对相对于四个不同城市化类别的规模(人口)的各种社会经济指标(SEI)的扩展分析,即农村,半农村,半城市和城市地区。估计2001年和2011年的每个类别的缩放指数以及其拟合优度由$ r^2 $值衡量。我们严格的统计分析表明,与教育,就业,住房,健康等有关的大多数SEI所考虑的大多数SEI所考虑的大多数SEI都在地区层面上确实存在。在这两年中,这些seis获得的$ r^2 $值都非常高(通常大于0.8或0.9)。此外,缩放因子的线性性已经过统计测试,并在95%的置信度下发现并非所有SEI都表现线性。其中一些的特征是超级线性行为,有些则表现为亚线性。还进行了统计假设检验,以测试两个缩放因素的平等,对应于两个不同的类别和两个不同的年份,以了解增加城市化类别及其随着时间的变化的缩放关系差异。
This paper explores the extension of the idea of allometric urban scaling law to study the scaling behaviour of Indian districts, with both the urban and rural population. To proceed, we have chosen districts (both rural and urban) of India, a relatively larger local administrative units, which are more or less independently functional within a country. This interdisciplinary work focus on the scaling analysis of various socio-economic indicators (SEIs) corresponding to the size (population) of four distinct urbanization classes, namely rural, semi-rural, semi-urban and urban districts. The scaling exponents were estimated for each classes for the years 2001 and 2011 along with their goodness-of-fit measured by the $R^2$ values. Our rigorous statistical analysis indicates that the scaling laws indeed exist even at the district level for most of the SEIs considered, related to education, employment, housing, health, etc.; the $R^2$ values obtained for these SEIs are very high (often greater than 0.8 or 0.9) in both the the years. Moreover, linearity of the scaling factors have been statistically tested and it has been found, at 95% level of confidence, that not all the SEIs behave linearly; some of them are characterized by super-linear behaviour and some behave sub-linearly. Statistical hypothesis tests have also been performed to test the equality of two scaling factors corresponding to two distinct classes and two different years to understand the differences in scaling relationships among increasing urbanisation classes and their changes over time.