2014
DOI: 10.1038/srep04235
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Large cities are less green

Abstract: We study how urban quality evolves as a result of carbon dioxide emissions as urban agglomerations grow. We employ a bottom-up approach combining two unprecedented microscopic data on population and carbon dioxide emissions in the continental US. We first aggregate settlements that are close to each other into cities using the City Clustering Algorithm (CCA) defining cities beyond the administrative boundaries. Then, we use data on CO2 emissions at a fine geographic scale to determine the total emissions of ea… Show more

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Cited by 139 publications
(128 citation statements)
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“…Recent studies have questioned the definition of city boundaries and thus the non-linear scaling with population size for some urban indicators. 13,44,45 Altogether, these results however help to understand the effects of the increasing complexity of larger cities in public health. For some diseases, higher per capita efforts should be given to larger cities, whereas for other diseases, efforts should target smaller cities.…”
Section: Discussionmentioning
confidence: 90%
“…Recent studies have questioned the definition of city boundaries and thus the non-linear scaling with population size for some urban indicators. 13,44,45 Altogether, these results however help to understand the effects of the increasing complexity of larger cities in public health. For some diseases, higher per capita efforts should be given to larger cities, whereas for other diseases, efforts should target smaller cities.…”
Section: Discussionmentioning
confidence: 90%
“…Moreover, due to the fact that many MSAs are constituted by aggregating small disconnected clusters, this definition framework overestimates the area of small agglomerations (see Fig. 5 (a)) by including large unoccupied areas (Oliveira et al, 2014). As a consequence, super-linear scaling exponents associated with interactions are supposed to be smaller for MSAs than natural cities.…”
Section: (A)mentioning
confidence: 99%
“…Identifying the boundaries of an urban area can be challenging [142,143]. This is mainly because urban areas tend to be strongly connected to their neighboring urban areas, rural hinterlands, and distant areas for their economic and hydrological functions.…”
Section: Spatial Scale or Boundary For Urban Water Footprint Analysismentioning
confidence: 99%