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Advanced Computational Methods for Knowledge Engineering pp 153–165Cite as

Exploring Drivers of Urban Expansion

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 453))

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\(\,\times \,\)200 m cells) We present results of our spatial modeling exercise for the case study of the Seville Province, Spain.

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Acknowledgments

The authors would like to acknowledge DG research for funding through the FP7-funded COMPLEX project #308601, http://www.complex.ac.uk.

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Authors and Affiliations

  1. International Institute for Applied Systems Analysis, Schlossplatz 1, 2361, Laxenburg, Austria

    Anna Shchiptsova & Elena Rovenskaya

  2. Observatorio para una Cultura del Territorio, C/ Duque de Fernan Nunez 2, 1a planta, 28012, Madrid, Spain

    Richard Hewitt

  3. Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 2nd Educational Building, Leninskie Gory, 119991, Moscow, Russia

    Elena Rovenskaya

Authors
  1. Anna Shchiptsova
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  2. Richard Hewitt
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  3. Elena Rovenskaya
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Corresponding author

Correspondence to Anna Shchiptsova .

Editor information

Editors and Affiliations

  1. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Thanh Binh Nguyen

  2. Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  3. Laboratory of Theoretical and Applied Computer Science (LITA), UFR MIM, University of Lorraine, Ile du Saulcy, Metz, France

    Hoai An Le Thi

  4. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2016 Springer International Publishing Switzerland

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Shchiptsova, A., Hewitt, R., Rovenskaya, E. (2016). Exploring Drivers of Urban Expansion. In: Nguyen, T.B., van Do, T., An Le Thi, H., Nguyen, N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-38884-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-38884-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38883-0

  • Online ISBN: 978-3-319-38884-7

  • eBook Packages: EngineeringEngineering (R0)

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