Modeling and Prediction of Future Urban Growth in the Charleston Region of South Carolina: a GIS-based Integrated Approach
By Jeffery Allen, Kang Shou Lu. 2003
248 citations recorded by the source corpus.
The complexity of urban systems makes it difficult to adequately address their changes using a model based on a single approach. In this research, we developed a GIS-based integrated approach to modeling and prediction of urban growth in terms of land use change. The model was built upon a binomial logistic framework, coupled with a rule-based suitability module and focus group involvement, and is designed to predict land transition probabilities and simulate urban growth under different scenarios. The model was calibrated in the Charleston region of South Carolina through a GIS-facilitated participatory process involving both statistical assessment and human evaluation. The model achieved high overall success rates, although its predictive power varied spatially and temporally with different types of land use. The model was used to predict future urban growth in the region through the year 2030.
Subfields: Economics and Econometrics, Global and Planetary Change, Transportation
View Paper: https://www.semanticscholar.org/paper/0364b7fb7e7698b47e6c9b1597f7b655617c4b07
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In Economics and Econometrics
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Citations in the corpus
- Policies for Habitat Fragmentation: Combining Econometrics with GIS-Based Landscape Simulations (2007, background): “As such, the findings for sub-regions of the South Carolina coastal plain could be applied to other regions in the eastern United States with similar initial conditions, including the heavily forested northern and Appalachian regions and urbanized areas of the Northeast and Midwest.”
- An agent-based approach to model future residential pressure on a regional landscape (2009, background): “…Environmental Change and Sustainability (CECS), School of GeoSciences, The University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK e-mail: cm.fontaine@ed.ac.uk historic trends, level of economic development, politics and planning policy (Allen and Lu 2003; Barredo et al. 2003; Batty 2005).”