Exploring Drivers of Urban Expansion

Shchiptsova A, Hewitt R, & Rovenskaya E (2016). Exploring Drivers of Urban Expansion. In: Advanced Computational Methods for Knowledge Engineering: Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria. Advances in Intelligent Systems and Computing, 453 . pp. 153-165 Berlin/Heidelberg, Germany: Springer. ISBN 978-3-319-38883-0 DOI:10.1007/978-3-319-38884-7_12.

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Abstract

Spatial patterns in urban land development are linked with the level and type of economic activity. Here, we develop a statistical model to explore the relationship between the spatially explicit population density and the type of land use in a region. The relationship between the type of land use (urban/non-urban) and the level of economic activity is modeled at the scale of a single cell on the geographical map. Thus, the statistical model should be tested against large samples of data points on the high-resolution maps. The challenge here is that the original socio-economic data is given at a coarser resolution than the land use (200×200 m cells) We present results of our spatial modeling exercise for the case study of the Seville Province, Spain.

Item Type: Book Section
Uncontrolled Keywords: Land Use Model, Urban sprawl, Multiple regression
Research Programs: Advanced Systems Analysis (ASA)
Depositing User: Michaela Rossini
Date Deposited: 03 May 2016 14:07
Last Modified: 03 May 2016 14:07
URI: http://pure.iiasa.ac.at/13075

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