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Berlin 2018 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 21: Traffic Dynamics, Urban and Regional Systems (joint session SOE/DY)

SOE 21.3: Talk

Thursday, March 15, 2018, 15:30–15:45, MA 001

Urban Kaya relation: understanding urban CO2 emissionsRamana Gudipudi1, •Diego Rybski1, Matthias K. B. Lüdeke1, Bin Zhou1, Zhu Liu2,3,4, and Jürgen P. Kropp1,51Potsdam Institute for Climate Impact Research, 14473, Potsdam, Germany — 2John F. Kennedy School of Government, Harvard University, Cambridge, Massachusetts 02138, USA — 3Resnick Sustainability Institute, California Institute of Technology, Pasadena, California 91125, USA — 4Cambridge Centre for Climate Change Mitigation Research, Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge CB3 9EP, UK — 5Dept. of Geo- and Environmental Sciences, University of Potsdam, 14476, Potsdam, Germany

Given the strong global urbanization trend, it is crucial to understand whether large urban areas are more emission efficient in comparison to smaller ones. Recent literature on urban scaling properties of emissions as a function of population size led to contradicting results and more importantly lacked an in-depth investigation of the factors leading to such scaling properties. Therefore, in analogy to the well-established Kaya Identity, we developed an urban Kaya relation to investigate different scaling properties of the indicators within the Kaya Identity. Contrary to traditional urban scaling studies which use ordinary least squares regression, we show that orthogonal regression is necessary when complex relations among scaling exponents are to be investigated.

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