Actors and factors in land-use simulation: The challenge of urban shrinkage

  • Authors:
  • Dagmar Haase;Annegret Haase;Nadja Kabisch;Sigrun Kabisch;Dieter Rink

  • Affiliations:
  • Humboldt University Berlin, Institute of Geography, Rudower Chaussee 16, 10099 Berlin, Germany and Helmholtz Centre for Environmental Research, UFZ Department of Computational Landscape Ecology, P ...;Helmholtz Centre for Environmental Research, UFZ Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany;Humboldt University Berlin, Institute of Geography, Rudower Chaussee 16, 10099 Berlin, Germany and Helmholtz Centre for Environmental Research, UFZ Department of Computational Landscape Ecology, P ...;Helmholtz Centre for Environmental Research, UFZ Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany;Helmholtz Centre for Environmental Research, UFZ Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2012

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Abstract

Both modelers and social scientists attempt to find better explanations of complex urban systems. They include development paths, underlying driving forces and their expected impacts. So far, land-use research has predominantly focused on urban growth. However, new challenges have arisen since urban shrinkage entered the research agenda of the social and land-use sciences. Therefore, the focus of this paper is a twofold one: Using the example of urban shrinkage, we first discuss the capacity of existing land-use modeling approaches to integrate new social science knowledge in terms of land-use, demography and governance because social science models are indispensable for accurately explaining the processes behind shrinkage. Second, we discuss the combination of system dynamics (SD), cellular automata (CA) and agent-based model (ABM) approaches to cover the main characteristics, processes and patterns of urban shrinkage. Using Leipzig, Germany, as a case study, we provide the initial results of a joint SD-CA model and an ABM that both operationalize social science knowledge regarding urban shrinkage.