Journal ArticleDOI
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.
Reads0
Chats0
TLDR
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.About:
This article is published in Landscape and Urban Planning.The article was published on 2018-09-01. It has received 264 citations till now. The article focuses on the topics: Spatial planning & Urban planning.read more
Citations
More filters
Journal ArticleDOI
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
TL;DR: In this article, a patch-generating land use simulation (PLUS) model is proposed that integrates a land expansion analysis strategy and a cellular automata model based on multi-type random patch seeds to understand the drivers of land expansion and investigate the landscape dynamics in Wuhan, China.
Posted Content
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
TL;DR: A patch-generating land use simulation (PLUS) model that integrates a land expansion analysis strategy and a CA model based on multi-type random patch seeds is introduced that can help policymakers to manage future land use dynamics and so to realize more sustainable land use patterns for future development.
Journal ArticleDOI
Mapping global urban boundaries from the global artificial impervious area (GAIA) data
Journal ArticleDOI
Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model
TL;DR: Wang et al. as mentioned in this paper designed a model based on the random forest algorithm and CA-Markov model, which simulated the evolution of urban space in Shanghai from 2015 to 2030 under two distinct scenarios: unconstrained development and development with planning intervention.
Journal ArticleDOI
Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model
TL;DR: Two mechanisms based on a cellular automata-based future land-use simulation model to integrate different planning drivers into simulations are designed and can serve as a useful tool that assists planners in their evaluation of urban evolvement under the impact of different planning policies.
References
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Related Papers (5)
Comparing the input, output, and validation maps for several models of land change
Robert Gilmore Pontius,Wideke Boersma,Jean-Christophe Castella,Keith C. Clarke,Ton de Nijs,Charles Dietzel,Zengqiang Duan,Eric Fotsing,Noah Goldstein,Kasper Kok,Eric Koomen,Christopher D. Lippitt,William J. McConnell,Alias Mohd Sood,Bryan C. Pijanowski,Snehal Pithadia,Sean P. Sweeney,Tran Ngoc Trung,A. Tom Veldkamp,Peter H. Verburg +19 more
Neural-network-based cellular automata for simulating multiple land use changes using GIS
Xia Li,Anthony Gar-On Yeh +1 more