Scenario Prediction and Analysis of Urban Growth Using SLEUTH Model
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Spatial measures and methods in sustainable urban morphology: A systematic review
2023, Landscape and Urban PlanningSimulation of future land use/cover change (LUCC) in typical watersheds of arid regions under multiple scenarios
2023, Journal of Environmental ManagementLand use and cover change (LUCC) impacts on Earth's eco-environments: Research progress and prospects
2023, Advances in Space ResearchCitation Excerpt :The latest programs, i.e., the IPBES, extend the research on LUCC impacts to the practices of decision support for land use planning and sustainable development (Dı́az et al., 2015). The target could be realized through scenario predictions, which provide a series of alternative strategies for different optimal selections (Feng et al., 2012, Hurtt et al., 2011). Full investigations of LUCC impacts are not only expected to provide theoretical support for understanding the inherent nature of the driving mechanism of eco-environmental evolution but are also expected to provide necessary supporting evidence for eco-environmental management.
Integrating strategic planning intentions into land-change simulations: Designing and assessing scenarios for Bucharest
2022, Sustainable Cities and SocietyCitation Excerpt :Furthermore, while scenarios and simulations have proven useful in anticipating future land uses, it is often difficult to link these back to policies and management decisions. Results of scenario-based simulations further offer decision support for urban planning and policy makers (Feng et al., 2012; García-Ayllón, 2018), for instance through determining desired locations for urban development or minimizing negative impacts on other land uses (Karakus, Cerit & Kavak, 2015; Li & Yeh, 2000; Saganeiti et al., 2021; Zhai et al., 2020). Thus, simulations results could be further integrated into future plans as a way to perceive the future and to engage stakeholders in discussions and decision-making processes.
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area
2020, Computers, Environment and Urban Systems
Support by the National Natural Science Foundation of China (No. 40671127), the National High Technology Research and Development Program of China (No. 2006AA120102), the National Science & Technology Pillar Program in the Eleventh Five-year Plan Period (No. 2008BAK49B04), and the National Next Generation Internet Program of China (No. CNGI-09-01-07).