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Limited Urban Growth: London's Street Network Dynamics since the 18th Century

Overview of attention for article published in PLOS ONE, August 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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35 X users
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2 Facebook pages
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1 Google+ user

Citations

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104 Dimensions

Readers on

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124 Mendeley
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1 CiteULike
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Title
Limited Urban Growth: London's Street Network Dynamics since the 18th Century
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0069469
Pubmed ID
Authors

A. Paolo Masucci, Kiril Stanilov, Michael Batty

Abstract

We investigate the growth dynamics of Greater London defined by the administrative boundary of the Greater London Authority, based on the evolution of its street network during the last two centuries. This is done by employing a unique dataset, consisting of the planar graph representation of nine time slices of Greater London's road network spanning 224 years, from 1786 to 2010. Within this time-frame, we address the concept of the metropolitan area or city in physical terms, in that urban evolution reveals observable transitions in the distribution of relevant geometrical properties. Given that London has a hard boundary enforced by its long standing green belt, we show that its street network dynamics can be described as a fractal space-filling phenomena up to a capacitated limit, whence its growth can be predicted with a striking level of accuracy. This observation is confirmed by the analytical calculation of key topological properties of the planar graph, such as the topological growth of the network and its average connectivity. This study thus represents an example of a strong violation of Gibrat's law. In particular, we are able to show analytically how London evolves from a more loop-like structure, typical of planned cities, toward a more tree-like structure, typical of self-organized cities. These observations are relevant to the discourse on sustainable urban planning with respect to the control of urban sprawl in many large cities which have developed under the conditions of spatial constraints imposed by green belts and hard urban boundaries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Korea, Republic of 2 2%
Germany 1 <1%
Italy 1 <1%
United States 1 <1%
Unknown 117 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Researcher 20 16%
Student > Master 11 9%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 25 20%
Unknown 25 20%
Readers by discipline Count As %
Engineering 19 15%
Social Sciences 18 15%
Environmental Science 13 10%
Computer Science 7 6%
Arts and Humanities 7 6%
Other 27 22%
Unknown 33 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2014.
All research outputs
#1,623,497
of 25,922,020 outputs
Outputs from PLOS ONE
#19,863
of 226,236 outputs
Outputs of similar age
#13,415
of 210,375 outputs
Outputs of similar age from PLOS ONE
#515
of 4,764 outputs
Altmetric has tracked 25,922,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 226,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 210,375 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 4,764 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.