Forschungsseminar Vortrag von Christoph Aubrecht

122.007, Forschungssem. in Photogrammetrie u. Fernerkundung für Dissertanten

Title
A geospatial perspective on human exposure and vulnerability in disaster risk research - Demonstrating the importance of spatial and temporal scale and thematic context

Zeit und Ort
17. Mai 2013 13:15 im Seminarraum 122

Abstract
In the context of disaster risk management and in particular for improving preparedness and mitigation of potential impacts of hazardous events, information on socio-economic characteristics including aspects of situation-specific human exposure and vulnerability is considered vital. The thesis presented in this seminar elaborates on multi-level geospatial information and modeling approaches from global to local scales that could serve to build up inventories for people involved in disaster related areas. Concepts and applications related to the human exposure and social vulnerability domain as well as inherent space-time-dynamics aspects are addressed by illustrating the varying dimensions and contextual implications. Newly developed methods are highlighted and evaluated that can be applied to assess population exposure to natural hazards, ranging from global and continental-scale population disaggregation approaches to high resolution functional urban system models. Going one step further, the integration of social structure and the development of aggregative social vulnerability indicators eventually enable the differentiation of situation-specific risk patterns. Hazard domains addressed in this context include earthquakes, tsunamis, coastal flooding, and heat stress amongst others. With disaster risk management being considered “an inherently spatial problem” (Goodchild, 2005) this thesis particularly aims at investigating root causes of threats and impacts on society and therefore also the dynamics and variability of the decisive underlying internal societal structures and risk-shaping characteristics, i.e. “how and why […] vulnerability […] and its inherent characteristics […] change from place to place and over time” (Cutter et al., 2002).

07.05.2013
Category: Announcements, Remote Sensing