Population Exposure and Impact Assessment: Benefits of Modeling Urban Land Use in Very High Spatial and Thematic Detail

  • Christoph AubrechtEmail author
  • Mario Köstl
  • Klaus Steinnocher
Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 19)


This paper highlights the benefits that high-level geospatial modeling of urban patterns can provide for real-world applications in the field of population exposure and impact assessment. A set of techniques is described leading to identification of functional and socioeconomic relationships in a suburban environment. Diverse high resolution remote sensing data are classified using Object-Based Image Analysis in order to derive structural land cover information. Georeferenced address data then serve as essential link between this geometric framework and ancillary space-related information such as company and census data. The final very high resolution functional population model (i.e. broken down to address-based building part objects) is consulted for exposure and impact assessments exemplarily shown in two different fictitious scenarios: (1) earthquake hazard and (2) traffic noise propagation. High-detail spatial data sets including functional and socioeconomic information as derived in this study can be of great value in disaster risk management and simulation, but also in regional and environmental planning as well as geomarketing analyses.


Population disaggregation Functional land use Exposure Earthquake hazard Noise propagation 



The presented work was funded by the Austrian Research Promotion Agency (FFG) in the frame of the Austrian Space Applications Programme (ASAP). The ALS data was provided by the Department of Geoinformation und Real Estate of the Federal State Government of Upper Austria. The georeferenced address data was provided by Tele Atlas Austria and the demographic data was provided by Statistik Austria.


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Christoph Aubrecht
    • 1
    Email author
  • Mario Köstl
    • 1
  • Klaus Steinnocher
    • 1
  1. 1.AIT Austrian Institute of Technology GmbHViennaAustria

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