Urban geography and scaling of contemporary Indian cities

被引:52
|
作者
Sahasranaman, Anand [1 ,2 ]
Bettencourt, Luis M. A. [3 ,4 ]
机构
[1] Imperial Coll London, Dept Math, Ctr Complex Sci, London SW7 2AZ, England
[2] Krea Univ, Div Math & Comp Sci, Sri City 517646, Andhra Pradesh, India
[3] Univ Chicago, Dept Sociol, Dept Ecol & Evolut, Mansueto Inst Urban Innovat, Chicago, IL 60637 USA
[4] Santa Fe Inst, Santa Fe, NM 87501 USA
关键词
urban development; density; innovation; crime; infrastructure; urban agglomeration; HOMICIDE; CRIME; SIZE; CITY;
D O I
10.1098/rsif.2018.0758
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:12
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