Abstract
Disaster risk is not fully characterized without taking
into account vulnerability and population exposure. Assessment
of earthquake risk in urban areas would benefit
from considering the variation of population distribution at
more detailed spatial and temporal scales, and from a more
explicit integration of this improved demographic data with
existing seismic hazard maps. In the present work, "intelligent"
dasymetric mapping is used to model population dynamics
at high spatial resolution in order to benefit the analysis
of spatio-temporal exposure to earthquake hazard in a
metropolitan area. These night- and daytime-specific population
densities are then classified and combined with seismic
intensity levels to derive new spatially-explicit four-classcomposite
maps of human exposure. The presented approach
enables a more thorough assessment of population exposure
to earthquake hazard. Results show that there are significantly
more people potentially at risk in the daytime period,
demonstrating the shifting nature of population exposure in
the daily cycle and the need to move beyond conventional
residence-based demographic data sources to improve risk
analyses. The proposed fine-scale maps of human exposure
to seismic intensity are mainly aimed at benefiting visualization
and communication of earthquake risk, but can be valuable
in all phases of the disaster management process where
knowledge of population densities is relevant for decisionmaking
Originalsprache | Englisch |
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Seiten (von - bis) | 3533-3543 |
Seitenumfang | 11 |
Fachzeitschrift | Natural Hazards and Earth System Sciences |
Issue | 11 |
Publikationsstatus | Veröffentlicht - 2012 |
Research Field
- Ehemaliges Research Field - Energy
- Ehemaliges Research Field - Innovation Systems and Policy