@article{RybskiReusserWinzetal.2016,
  author    = {Rybski, Diego and Reusser, Dominik Edwin and Winz, Anna-Lena and Fichtner, Christina and Sterzel, Till and Kropp, J{\"u}rgen},
  title     = {Cities as nuclei of sustainability?},
  series = {Environment and Planning B: Urban Analytics and City Science},
  volume    = {44},
  journal   = {Environment and Planning B: Urban Analytics and City Science},
  number    = {3},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {2399-8083},
  doi       = {10.1177/0265813516638340},
  pages     = {425 -- 440},
  year      = {2016},
  abstract  = {We have assembled CO2 emission figures from collections of urban GHG emission estimates published in peer-reviewed journals or reports from research institutes and non-governmental organizations. Analyzing the scaling with population size, we find that the exponent is development dependent with a transition from super- to sub-linear scaling. From the climate change mitigation point of view, the results suggest that urbanization is desirable in developed countries. Further, we compare this analysis with a second scaling relation, namely the fundamental allometry between city population and area, and propose that density might be a decisive quantity too. Last, we derive the theoretical country-wide urban emissions by integration and obtain a dependence on the size of the largest city.},
  language  = {en}
}
@misc{BoettleRybskiKropp2016,
  author    = {Boettle, Markus and Rybski, Diego and Kropp, J{\"u}rgen},
  title     = {Quantifying the effect of sea level rise and flood defence},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {559},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-41240},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-412405},
  pages     = {18},
  year      = {2016},
  abstract  = {In contrast to recent advances in projecting sea levels, estimations about the economic impact of sea level rise are vague. Nonetheless, they are of great importance for policy making with regard to adaptation and greenhouse-gas mitigation. Since the damage is mainly caused by extreme events, we propose a stochastic framework to estimate the monetary losses from coastal floods in a confined region. For this purpose, we follow a Peak-over-Threshold approach employing a Poisson point process and the Generalised Pareto Distribution. By considering the effect of sea level rise as well as potential adaptation scenarios on the involved parameters, we are able to study the development of the annual damage. An application to the city of Copenhagen shows that a doubling of losses can be expected from a mean sea level increase of only 11 cm. In general, we find that for varying parameters the expected losses can be well approximated by one of three analytical expressions depending on the extreme value parameters. These findings reveal the complex interplay of the involved parameters and allow conclusions of fundamental relevance. For instance, we show that the damage typically increases faster than the sea level rise itself. This in turn can be of great importance for the assessment of sea level rise impacts on the global scale. Our results are accompanied by an assessment of uncertainty, which reflects the stochastic nature of extreme events. While the absolute value of uncertainty about the flood damage increases with rising mean sea levels, we find that it decreases in relation to the expected damage.},
  language  = {en}
}