TY  - JOUR
A1  - Gudipudi, Ramana Venkata
A1  - Lüdeke, Matthias K. B.
A1  - Rybski, Diego
A1  - Kropp, Jürgen
T1  - Benchmarking urban eco-efficiency and urbanites' perception
JF  - Cities
N2  - Urbanization as an inexorable global trend stresses the need to identify cities which are eco-efficient. These cities enable socioeconomic development with lower environmental burden, both being multidimensional concepts. Based on this approach, we benchmark 88 European cities using (i) an advanced version of regression residual ranking and (ii) Data Envelopment Analysis (DEA). Our results show that Stockholm, Munich and Oslo perform well irrespective of the benchmarking method. Furthermore, our results indicate that larger European cities are eco-efficient given the socioeconomic benefits they offer compared to smaller cities. In addition, we analyze correlations between a subjective public perception ranking and our objective eco-efficiency rankings for a subset of 45 cities. This exercise revealed three insights: (1) public perception about quality of life in a city is not merely confined to the socioeconomic well-being but rather to its combination with a lower environmental burden; (2) public perception correlates well with both formal ranking outcomes, corroborating the choice of variables; and (3) the advanced regression residual method appears to be more adequate to fit the urbanites' perception ranking (correlation coefficient about 0.6). This can be interpreted as an indication that urbanites' perception reflects the typical eco-efficiency performance and is less influenced by exceptionally performing cities (in the latter case, DEA should have better correlation coefficient). This study highlights that the socioeconomic growth in cities should not be environmentally detrimental as this might lead to significant discontent regarding perceived quality of urban life.
KW  - Eco-efficiency
KW  - City benchmarking
KW  - Sustainable urban development
KW  - Urban metabolism
KW  - Public perception
KW  - DEA
KW  - OLS ranking
Y1  - 2018
U6  - https://doi.org/10.1016/j.cities.2017.11.009
SN  - 0264-2751
SN  - 1873-6084
VL  - 74
SP  - 109
EP  - 118
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Gudipudi, Venkata Ramana
A1  - Rybski, Diego
A1  - Lüdeke, Matthias K. B.
A1  - Zhou, Bin
A1  - Liu, Zhu
A1  - Kropp, Jürgen
T1  - The efficient, the intensive, and the productive
BT  - Insights from urban Kaya scaling
JF  - Applied Energy
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.
KW  - Sustainable cities
KW  - Urban CO2 emissions
KW  - Urban scaling
KW  - Kaya Identity
KW  - Urban Kaya relation
Y1  - 2018
U6  - https://doi.org/10.1016/j.apenergy.2018.11.054
SN  - 0306-2619
SN  - 1872-9118
VL  - 236
SP  - 155
EP  - 162
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - GEN
A1  - Gudipudi, Venkata Ramana
A1  - Rybski, Diego
A1  - Lüdeke, Matthias K. B.
A1  - Kropp, Jürgen
T1  - Urban emission scaling - Research insights and a way forward
T2  - Environment and Planning B: Urban Analytics and City Science
Y1  - 2019
U6  - https://doi.org/10.1177/2399808319825867
SN  - 2399-8083
SN  - 2399-8091
VL  - 46
IS  - 9
SP  - 1678
EP  - 1683
PB  - Sage Publ.
CY  - London
ER  -