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城市地理学与当代印度城市的规模。

Urban geography and scaling of contemporary Indian cities.

机构信息

1 Centre for Complexity Science, Department of Mathematics, Imperial College London , London SW72AZ , UK.

2 Division of Mathematics and Computer Science, Krea University , Sri City, Andhra Pradesh 517646 , India.

出版信息

J R Soc Interface. 2019 Mar 29;16(152):20180758. doi: 10.1098/rsif.2018.0758.

Abstract

This paper attempts to create a first comprehensive analysis of the integrated characteristics of contemporary Indian cities, using scaling and geographical analysis over a set of diverse indicators. We use data of urban agglomerations in India from the Census 2011 and from a few other sources to characterize patterns of urban population density, infrastructure, urban services, crime and technological innovation. Many of the results are in line with expectations from urban theory and with the behaviour of analogous quantities in other urban systems in both high and middle-income nations. India is a continental scale, fast developing urban system, and consequently there are also a number of interesting exceptions and surprises related to both particular quantities and strong regional patterns of variation. Specifically, these relate to the potential salience of gender and caste in driving sub-linear scaling of crime and to the geography of technological innovation. We characterize these patterns in detail for crime and invention, and connect them to the existing literature on their determinants in a specifically Indian context. The paucity of data at the urban level and the absence of official definitions for functional cities in India create a number of limitations and caveats to any present analysis. We discuss these shortcomings and spell out the challenge for a systematic statistical data collection relevant to cities and urban development in India.

摘要

本文试图通过对一系列多样化指标进行定标和地理分析,首次全面分析当代印度城市的综合特征。我们使用了 2011 年人口普查和其他一些来源的印度城市群数据,以描述城市人口密度、基础设施、城市服务、犯罪和技术创新的模式。许多结果都符合城市理论的预期,也符合高收入和中等收入国家其他城市系统类似数量的行为。印度是一个大陆规模的、快速发展的城市系统,因此,与特定数量和强烈的区域变化模式有关的,也有许多有趣的例外和惊喜。具体来说,这些与犯罪的次线性规模发展中性别和种姓的潜在重要性以及技术创新的地理分布有关。我们详细描述了犯罪和发明方面的这些模式,并将其与特定印度背景下关于其决定因素的现有文献联系起来。城市层面数据的匮乏以及印度没有功能城市的官方定义,给任何现有分析都带来了一些限制和注意事项。我们讨论了这些缺点,并阐述了为印度城市和城市发展进行系统的统计数据收集所面临的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7d/6451395/e403c8684d17/rsif20180758-g1.jpg

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