Journal Article10.1016/J.LANDURBPLAN.2018.04.016
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.
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TL;DR: This paper argues that the delineation needs to integrate the top-down approach with CA for projecting complex land use changes under designed scenarios, and proposes a CA-based method called the future land use simulation (FLUS) that can support urban planning by generating feasible patterns for UGBs under different planning scenarios.
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About: This article is published in Landscape and Urban Planning. The article was published on 01 Sep 2018. The article focuses on the topics: Spatial planning & Urban planning.
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Citations
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Urban Growth Boundaries Delineation under Multi-Objective Constraints from the Perspective of Humanism and Low-Carbon Concept
TL;DR: Wang et al. as discussed by the authors proposed a novel framework for UGB delineation based on multi-source big data and multi-objective constraints, which emphasizes humanism and the low-carbon concept in urban expansion simulation.
Coupling RESI with Multi-Scenario LULC Simulation and Spatiotemporal Variability Analysis: An Ecological Spatial Constraint Approach
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TL;DR: Coupling RESI with multi-scenario LULC simulation and spatiotemporal variability analysis in the Yuanmou dry-hot valley reveals that ecological conservation scenarios with high-to-low RESI constraints are superior to other scenarios in terms of ecological environment protection.
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References
Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model
Peter H. Verburg,Welmoed Soepboer,A. Veldkamp,Ramil Limpiada,Victoria Espaldon,Sharifah S.A. Mastura +5 more
TL;DR: A dynamic, spatially explicit, land-use change model is presented for the regional scale: CLUE-S that explicitly addresses the hierarchical organization of land use systems, spatial connectivity between locations and stability.
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A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
Xiaoping Liu,Xun Liang,Xia Li,Xia Li,Xiaocong Xu,Jinpei Ou,Yimin Chen,Yimin Chen,Shaoying Li,Shaojian Wang,Fengsong Pei +10 more
TL;DR: A future land use simulation (FLUS) model that explicitly simulates the long-term spatial trajectories of multiple LUCCs, and the simulation accuracy is higher than other well-accepted models, such as CLUE-S and CA models.
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Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.
TL;DR: A cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area, is applied to two rapidly growing, but remarkably different urban areas.
Neural-network-based cellular automata for simulating multiple land use changes using GIS
Xia Li,Anthony Gar-On Yeh +1 more
TL;DR: A three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses and has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China.
Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model
TL;DR: In this paper, the authors introduce a modeling approach that integrates demand-driven changes in land area with locally determined conversion processes to simulate the evolution of natural vegetation on abandoned farmland in Europe.
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