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

By Luís M. A. Bettencourt, José Lobo, Dirk Helbing, C. Kühnert, Geoffrey B. West. Proceedings of the National Academy of Sciences of the United States of America, 2007

2,584 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e89197f205dadc08d923a408528f9db3d1c37c50

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Citations in the corpus

The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place (2013, background): “While much work and development lies ahead, opportunities for quantitative study of urban phenomena are now far more broadly available to researchers [5].”
Big data and human geography (2013, background): “…relating to cities and the supposed laws that underpin their formation and functions, often wilfully ignores a couple of centuries of social science scholarship, including rich traditions of urban quantitative analysis and model building (e.g. Bettencourt et al., 2007; Lehrer, 2010; Lohr, 2013).”
The scaling of green space coverage in European cities (2009, background): “In fact, wealth creation and innovation scale superlinearly with city population size (Bettencourt et al. 2007).”
A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2011, background): “PNAS The realization of universal properties in cities around the globe also goes along the line of recent research [31, 32] on urban dynamics and organization, where cities have been shown to be scaled versions of each other, despite their cultural and historical diﬀerences.”
The study of urban metabolism and its applications to urban planning and design. (2011, background): “…stock (Brunner and Rechberger, 2001); historical growth in the transportation of materials (Fischer-Kowalski et al., 2004); economies of scale for urban infrastructure systems (Bettencourt et al., 2007); and differences in greenhouse gas emissions from global cities (Kennedy et al., 2009a).”
Big Data, new epistemologies and paradigm shifts (2014, background): “For example, a number of physicists have turned their attention to cities, employing Big Data analytics to model social and spatial processes and to identify supposed laws that underpin their formation and functions (Bettencourt et al., 2007; Lehrer, 2010).”
Evidence for the homothetic scaling of urban forms (2018, background): “…part of this field focusses on quantifying environmental and socio-economic outcomes of cities with respect to their size, i.e. the scaling of these outcomes with population (Bettencourt, 2013; Bettencourt et al., 2007; Leit~ao et al., 2016; Louf and Barthelemy, 2014; Pumain, 2004; Shalizi, 2011).”
How does urbanization affect farmland protection? Evidence from China (2019, background): “3% of the total land area, while 3% is taken up by arable land (Bettencourt et al., 2007).”
A Dynamic Network Measure of Technological Change (2017, background): “The ability to characterize regions along these dimensions may be valuable for managers and urban planners, in addition to researchers (Bettencourt et al. 2007).”
The scaling of human interactions with city size (2012, background): “52 15 v3 [ ph ys ic s. so c- ph ] 9 J I. INTRODUCTION The statistical relationship between the size of cities and the structure of the network of human interactions at both the individual and population level has so far not been studied empirically in detail.”