Journal Article10.1016/J.LANDURBPLAN.2018.04.016
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.
401
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.
read more
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.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Modeling as an effective management tool for the integrated regional development
Konstantin Eduardovich-Tyupakov,Sergey Alexandrovich-Verkhorubov,Lyudmila Alexeevna-Beloglazova,Zamira Magometovna-Pogorova,Zaurbek Savarbekovich-Hautiev +4 more
TL;DR: In this paper , an approach to managing territorial development using a system of linked indicators that consider more than just the parameters of social development is presented. But the main problem of management systems for the integrated territorial development is associated with an incorrect assessment of their starting capabilities, which results in the low performance of the implementation mechanism.
Current and Future Characteristics of Land Use Based on FLUS Model - A Case Study of Foshan City, China
17 Oct 2022
TL;DR: Zhang et al. as mentioned in this paper applied land use transfer matrix, standard deviation ellipse model, and center of gravity model to analyze the characteristics of land use type, quantity change, and centre of gravity structure change in Foshan City.
Design of Social Infrastructure and Services Taking into Account Internal Migration by Age Cohort
Samo Drobne,Marija Bogataj +1 more
TL;DR: This study investigates the gravitational effects of internal migration by age cohorts in Slovenian regions, revealing significant influences of distance, wages, and care home capacity on migration patterns, with implications for urban and regional planning in the silver economy.
Effects of Land Use/Cover Change on the Ecosystem Service Values in the Greater Bay Area of China Accounting for Spatiotemporal Complexity
TL;DR: In this article , a future land use simulation (FLUS) model and multiscenario simulations were employed to predict land use change in 2030, and the results indicated that the loss of ESVs decreased by 14.29 billion yuan from 2005 to 2020.
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.
1.4K
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.
1.3K
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.
811
Related Papers (5)
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