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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

C Aubrecht, S. Freire, W. Loibl, J. Ungar:
"Improving Disaster Preparedness and Response by Considering Time-Dependency of Human Exposure in Crisis Modeling";
Vortrag: ISCRAM 2012, Vancouver, Canada; 22.04.2012 - 25.04.2012; in: "ISCRAM 2012, 9th International Conference on Information Systems for Crisis Response and Management", L. Rothkrantz, J. Ristvej, Z. Franco (Hrg.); (2012), ISBN: 978-0-86491-332-6; 5 Seiten.



Kurzfassung:
Vulnerability describing the status of a society with respect to an imposed hazard or potential impact is considered a
strongly multidisciplinary concept. A central objective of vulnerability assessment is to provide indications where
and how people - and more specifically, what kind of people - might be affected by a certain impact. For
assessment of the social dimension of vulnerability, population exposure mapping is usually considered the starting
point. Integration of social structure and varying aspects of resilience further differentiate situation-specific
vulnerability patterns on a local scale. Particularly in metropolitan areas, the spatial distribution of population is
highly time-dependent due to human activities and mobility. Identifying distinct day- and nighttime population
distribution characteristics is a major improvement compared to standard residence-based models, but does however
only display part of reality. New technologies and data processing capabilities allow moving into the field of realtime
analysis and representation of human movement. The vulnerability of each relevant element at risk, including
human beings and society in general and its time-dependent variation is characterized both by its pre-event status
and by its possible evolution during a crisis. In this study we present several approaches using multi-level geospatial
information for spatio-temporal modeling of human exposure. For general population distribution patterns including
variation over the diurnal cycle we applied census-based spatial disaggregation methods additionally considering
commuting and working statistics. Referring to cell phone user activity mapping and voluntarily-provided locationspecific
information in social networks we give an outlook to future options of near-real-time information retrieval
during actual crisis events.

Schlagworte:
Space-time-dependency, population exposure, cell phone user activity, volunteered geographic information

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.