C Aubrecht, D Özceylan Aubrecht, K. Steinnocher, S Freie:
"Multi-level geospatial modeling of human exposure";
Natural Hazards, Vol 68/ Issue 1 (2013), 0921-030X; S. 147 - 163.

In the context of disaster risk management and in particular for improving
preparedness and mitigation of potential impacts, information on socioeconomic characteristics
including aspects of situation-specific human exposure and vulnerability is considered
vital. This paper provides an overview on available multi-level geospatial
information and modeling approaches from global to local scales that could serve as
inventory for people involved in disaster-related areas. Concepts and applications related to
the human exposure and social vulnerability domains are addressed by illustrating the
varying dimensions and contextual implications. Datasets and methods are highlighted that
can be applied to assess earthquake-related population exposure, ranging from global and
continental-scale population grids (with a focus on recent developments for Europe) to
high-resolution functional urban system models and space-time variation aspects. In a
further step, the paper elaborates on the integration of social structure on regional scale and
the development of aggregative social and economic vulnerability indicators which would
eventually enable the differentiation of situation-specific risk patterns. The presented
studies cover social vulnerability mapping for selected US federal states in the New
Madrid seismic zone as well as the advancement of social vulnerability analysis through
integration of additional economic features in the index construction by means of a case
study for Turkey´s provinces.

Multi-level geospatial information Spatial disaggregation Population grid

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.