Details
| Original language | English |
|---|---|
| Pages (from-to) | 92-103 |
| Number of pages | 12 |
| Journal | Environmental Modelling and Software |
| Volume | 35 |
| Publication status | Published - Jul 2012 |
| Externally published | Yes |
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.
Keywords
- ABM, CA, Land-use modeling, SD, Social simulation, Urban shrinkage
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Environmental Science(all)
- Environmental Engineering
- Environmental Science(all)
- Ecological Modelling
Sustainable Development Goals
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In: Environmental Modelling and Software, Vol. 35, 07.2012, p. 92-103.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Actors and factors in land-use simulation
T2 - The challenge of urban shrinkage
AU - Haase, Dagmar
AU - Haase, Annegret
AU - Kabisch, Nadja
AU - Kabisch, Sigrun
AU - Rink, Dieter
N1 - Funding Information: We would like to thank TobiaLakes for her comments on an earlier version of this manuscript and three anonymous reviewers for their reviews and invaluable comments, which profoundly helped to improve the quality of the manuscript. We also thank Bradley Schmidt for polishing the language. The EU 6 FP IP PLUREL (contract no. 036921) and the EU 7 FP project SHRINK SMART (contract no. 225193) financially supported the work.
PY - 2012/7
Y1 - 2012/7
N2 - 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.
AB - 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.
KW - ABM
KW - CA
KW - Land-use modeling
KW - SD
KW - Social simulation
KW - Urban shrinkage
UR - http://www.scopus.com/inward/record.url?scp=84860174340&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2012.02.012
DO - 10.1016/j.envsoft.2012.02.012
M3 - Article
AN - SCOPUS:84860174340
VL - 35
SP - 92
EP - 103
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
ER -