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Sammanfattning

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. (C) 2012 Elsevier Ltd. All rights reserved.

Nyckelord

Social simulation; Land-use modeling; Urban shrinkage; SD; CA; ABM

Publicerad i

Environmental Modelling and Software
2012, volym: 35, sidor: 92-103

SLU författare

  • Haase, Dagmar

    • Helmholtz Zentrum für Umweltforschung (UFZ)
    • Humboldt-Universität zu Berlin

UKÄ forskningsämne

Annan geovetenskap

Publikationens identifierare

  • DOI: https://doi.org/10.1016/j.envsoft.2012.02.012

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/89574