Exploring Drivers of Urban Expansion

Shchiptsova, A., Hewitt, R., & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (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. pp. 153-165 Berlin/Heidelberg, Germany: Springer. ISBN 978-3-319-38883-0 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:	27 Aug 2021 17:26
URI:	https://pure.iiasa.ac.at/13075

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