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The efficient, the intensive, and the productive: Insights from urban Kaya scaling

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The efficient, the intensive, and the productive : Insights from urban Kaya scaling. / Gudipudi, Ramana; Rybski, Diego; Lüdeke, Matthias K.B.; Zhou, Bin; Liu, Zhu; Kropp, Jürgen P.

In: Applied Energy, Vol. 236, 15.02.2019, p. 155-162.

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Gudipudi, R, Rybski, D, Lüdeke, MKB, Zhou, B, Liu, Z & Kropp, JP 2019, 'The efficient, the intensive, and the productive: Insights from urban Kaya scaling' Applied Energy, vol. 236, pp. 155-162. https://doi.org/10.1016/j.apenergy.2018.11.054

APA

Gudipudi, R., Rybski, D., Lüdeke, M. K. B., Zhou, B., Liu, Z., & Kropp, J. P. (2019). The efficient, the intensive, and the productive: Insights from urban Kaya scaling. Applied Energy, 236, 155-162. https://doi.org/10.1016/j.apenergy.2018.11.054

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Gudipudi, Ramana ; Rybski, Diego ; Lüdeke, Matthias K.B. ; Zhou, Bin ; Liu, Zhu ; Kropp, Jürgen P. / The efficient, the intensive, and the productive : Insights from urban Kaya scaling. In: Applied Energy. 2019 ; Vol. 236. pp. 155-162.

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@article{6fb00c2612ff40a9955c36c03ab47389,
title = "The efficient, the intensive, and the productive: Insights from urban Kaya scaling",
abstract = "Urban areas play an unprecedented role in potentially mitigating climate change and supporting sustainable development. In light of the rapid urbanisation in many parts on the globe, it is crucial to understand the relationship between settlement size and CO2 emission efficiency of cities. Recent literature on urban scaling properties of emissions as a function of population size has led to contradictory results and more importantly, lacked an in-depth investigation of the essential factors and causes explaining such scaling properties. Therefore, in analogy to the well-established Kaya Identity, we develop a relation combining the involved exponents. We demonstrate that application of this Urban Kaya Relation will enable a comprehensive understanding about the intrinsic factors determining emission efficiencies in large cities by applying it to a global dataset of 61 cities. Contrary to traditional urban scaling studies which use Ordinary Least Squares (OLS) regression, we show that the Reduced Major Axis (RMA) is necessary when complex relations among scaling exponents are to be investigated. RMA is given by the geometric mean of the two OLS slopes obtained by interchanging the dependent and independent variable. We discuss the potential of the Urban Kaya Relation in mainstreaming local actions for climate change mitigation.",
keywords = "Kaya Identity, Sustainable cities, Urban CO emissions, Urban Kaya relation, Urban scaling",
author = "Ramana Gudipudi and Diego Rybski and L{\"u}deke, {Matthias K.B.} and Bin Zhou and Zhu Liu and Kropp, {J{\"u}rgen P.}",
year = "2019",
month = "2",
day = "15",
doi = "10.1016/j.apenergy.2018.11.054",
language = "English",
volume = "236",
pages = "155--162",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The efficient, the intensive, and the productive

T2 - Insights from urban Kaya scaling

AU - Gudipudi, Ramana

AU - Rybski, Diego

AU - Lüdeke, Matthias K.B.

AU - Zhou, Bin

AU - Liu, Zhu

AU - Kropp, Jürgen P.

PY - 2019/2/15

Y1 - 2019/2/15

N2 - Urban areas play an unprecedented role in potentially mitigating climate change and supporting sustainable development. In light of the rapid urbanisation in many parts on the globe, it is crucial to understand the relationship between settlement size and CO2 emission efficiency of cities. Recent literature on urban scaling properties of emissions as a function of population size has led to contradictory results and more importantly, lacked an in-depth investigation of the essential factors and causes explaining such scaling properties. Therefore, in analogy to the well-established Kaya Identity, we develop a relation combining the involved exponents. We demonstrate that application of this Urban Kaya Relation will enable a comprehensive understanding about the intrinsic factors determining emission efficiencies in large cities by applying it to a global dataset of 61 cities. Contrary to traditional urban scaling studies which use Ordinary Least Squares (OLS) regression, we show that the Reduced Major Axis (RMA) is necessary when complex relations among scaling exponents are to be investigated. RMA is given by the geometric mean of the two OLS slopes obtained by interchanging the dependent and independent variable. We discuss the potential of the Urban Kaya Relation in mainstreaming local actions for climate change mitigation.

AB - Urban areas play an unprecedented role in potentially mitigating climate change and supporting sustainable development. In light of the rapid urbanisation in many parts on the globe, it is crucial to understand the relationship between settlement size and CO2 emission efficiency of cities. Recent literature on urban scaling properties of emissions as a function of population size has led to contradictory results and more importantly, lacked an in-depth investigation of the essential factors and causes explaining such scaling properties. Therefore, in analogy to the well-established Kaya Identity, we develop a relation combining the involved exponents. We demonstrate that application of this Urban Kaya Relation will enable a comprehensive understanding about the intrinsic factors determining emission efficiencies in large cities by applying it to a global dataset of 61 cities. Contrary to traditional urban scaling studies which use Ordinary Least Squares (OLS) regression, we show that the Reduced Major Axis (RMA) is necessary when complex relations among scaling exponents are to be investigated. RMA is given by the geometric mean of the two OLS slopes obtained by interchanging the dependent and independent variable. We discuss the potential of the Urban Kaya Relation in mainstreaming local actions for climate change mitigation.

KW - Kaya Identity

KW - Sustainable cities

KW - Urban CO emissions

KW - Urban Kaya relation

KW - Urban scaling

UR - http://www.scopus.com/inward/record.url?scp=85057802386&partnerID=8YFLogxK

U2 - 10.1016/j.apenergy.2018.11.054

DO - 10.1016/j.apenergy.2018.11.054

M3 - Article

VL - 236

SP - 155

EP - 162

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -

ID: 154453215