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The Pre-History of Urban Scaling

Overview of attention for article published in PLOS ONE, February 2014
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Title
The Pre-History of Urban Scaling
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087902
Pubmed ID
Authors

Scott G. Ortman, Andrew H. F. Cabaniss, Jennie O. Sturm, Luís M. A. Bettencourt

Abstract

Cities are increasingly the fundamental socio-economic units of human societies worldwide, but we still lack a unified characterization of urbanization that captures the social processes realized by cities across time and space. This is especially important for understanding the role of cities in the history of human civilization and for determining whether studies of ancient cities are relevant for contemporary science and policy. As a step in this direction, we develop a theory of settlement scaling in archaeology, deriving the relationship between population and settled area from a consideration of the interplay between social and infrastructural networks. We then test these models on settlement data from the Pre-Hispanic Basin of Mexico to show that this ancient settlement system displays spatial scaling properties analogous to those observed in modern cities. Our data derive from over 1,500 settlements occupied over two millennia and spanning four major cultural periods characterized by different levels of agricultural productivity, political centralization and market development. We show that, in agreement with theory, total settlement area increases with population size, on average, according to a scale invariant relation with an exponent in the range [Formula: see text]. As a consequence, we are able to infer aggregate socio-economic properties of ancient societies from archaeological measures of settlement organization. Our findings, from an urban settlement system that evolved independently from its old-world counterparts, suggest that principles of settlement organization are very general and may apply to the entire range of human history.

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Geographical breakdown

Country Count As %
United States 10 5%
Brazil 2 <1%
Germany 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Italy 1 <1%
France 1 <1%
United Kingdom 1 <1%
Israel 1 <1%
Other 2 <1%
Unknown 197 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 25%
Researcher 36 17%
Student > Master 18 8%
Professor 17 8%
Other 14 6%
Other 47 22%
Unknown 31 14%
Readers by discipline Count As %
Social Sciences 50 23%
Arts and Humanities 30 14%
Environmental Science 18 8%
Agricultural and Biological Sciences 12 6%
Engineering 11 5%
Other 54 25%
Unknown 43 20%