Information technology challenges of biodiversity and ecosystems informatics
Information Systems - Special issue: Data management in bioinformatics
Modeling and simulating residential mobility in a shrinking city using an agent-based approach
Environmental Modelling & Software
Environmental Modelling & Software
How, when, and for what reasons does land use modelling contribute to societal problem solving?
Environmental Modelling & Software
An integrated approach to modelling land-use change on continental and global scales
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Method supporting collaboration in complex system participatory simulation
Proceedings of the Fourth Symposium on Information and Communication Technology
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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.