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

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      PLoS ONE
      Public Library of Science

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          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.

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          Most cited references34

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          Growth, innovation, scaling, and the pace of life in cities.

          Humanity has just crossed a major landmark in its history with the majority of people now living in cities. Cities have long been known to be society's predominant engine of innovation and wealth creation, yet they are also its main source of crime, pollution, and disease. The inexorable trend toward urbanization worldwide presents an urgent challenge for developing a predictive, quantitative theory of urban organization and sustainable development. Here we present empirical evidence indicating that the processes relating urbanization to economic development and knowledge creation are very general, being shared by all cities belonging to the same urban system and sustained across different nations and times. Many diverse properties of cities from patent production and personal income to electrical cable length are shown to be power law functions of population size with scaling exponents, beta, that fall into distinct universality classes. Quantities reflecting wealth creation and innovation have beta approximately 1.2 >1 (increasing returns), whereas those accounting for infrastructure display beta approximately 0.8 <1 (economies of scale). We predict that the pace of social life in the city increases with population size, in quantitative agreement with data, and we discuss how cities are similar to, and differ from, biological organisms, for which beta<1. Finally, we explore possible consequences of these scaling relations by deriving growth equations, which quantify the dramatic difference between growth fueled by innovation versus that driven by economies of scale. This difference suggests that, as population grows, major innovation cycles must be generated at a continually accelerating rate to sustain growth and avoid stagnation or collapse.
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            Modern Graph Theory

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              Spatial networks

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                12 August 2013
                : 8
                : 8
                : e69469
                Affiliations
                [1 ]Centre for Advanced Spatial Analysis, University College of London, London, United Kingdom
                [2 ]Martin Centre, University of Cambridge, Cambridge, United Kingdom
                MIT, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Analyzed the data: APM. Contributed reagents/materials/analysis tools: APM KS. Wrote the paper: APM KS MB.

                Article
                PONE-D-13-01365
                10.1371/journal.pone.0069469
                3741310
                23950895
                582461bd-8dcf-4de8-b30a-739dd4f6f91a
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 December 2012
                : 10 June 2013
                Page count
                Pages: 10
                Funding
                APM was partially funded by the Engineering and Physical Sciences Research Council (EPSRC) SCALE project (EP/G057737/1) and MB by the European Research Council (ERC) MECHANICITY Project (249393 ERC-2009-AdG). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Geography
                Human Geography
                Behavioral Geography
                Settlement Patterns
                Spatial Analysis
                Physics
                Interdisciplinary Physics
                Statistical Mechanics
                Social and Behavioral Sciences
                Geography
                Human Geography
                Regional Geography
                Settlement Patterns
                Spatial Analysis

                Uncategorized
                Uncategorized

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