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DynaPop – Population distribution dynamics as basis for social impact evaluation in crisis management
Christoph Aubrecht
Klaus Steinnocher
Hermann Huber
S.R. Hiltz, M.S.P., L. Plotnick, and P.C. Shih.
In this paper ongoing developments regarding the conceptual setup and subsequent implementation logic of a seamless spatio-temporal population dynamics model are presented. The DynaPop model aims at serving as basic input for social impact evaluation in crisis management. In addition to providing the starting point for assessing population exposure dynamics, i.e. the location and number of affected people at different stages during an event, knowledge of spatio-temporal population distribution patterns is also considered crucial for a set of other related aspects in disaster risk and crisis management including evacuation planning and casualty assessment. DynaPop is implemented via a gridded spatial disaggregation approach and integrates previous efforts on spatio-temporal modeling that account for various aspects of population dynamics such as human mobility and activity patterns that are particularly relevant in picturing the highly dynamic daytime situation.
urn:ISBN:9780692211946
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=DynaPop%20-%20Population%20distribution%20dynamics%20as%20basis%20for%20social%20impact%20evaluation%20in%20crisis%20management&stitle=ISCRAM%202014&issn=2411-3387&isbn=9780692211946&date=2014&spage=314&epage=318&aulast=Christoph%20Aubrecht&au=Klaus%20Steinnocher&au=Hermann%20Huber&pub=The%20Pennsylvania%20State%20University&place=University%20Park%2C%20PA&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=279
citekey:ChristophAubrecht_etal2014
citation:Christoph Aubrecht, Klaus Steinnocher, & Hermann Huber. (2014). DynaPop – Population distribution dynamics as basis for social impact evaluation in crisis management. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 314-318). University Park, PA: The Pennsylvania State University.
2014
ConferencePaper
text
Information systems
Population distribution
Population dynamics
Risk assessment
Activity patterns
Crisis management
Evacuation planning
Population distribution patterns
Population dynamics models
Population exposure
Spatial disaggregation
Spatio-temporal models
Economic and social effects
file:http://idl.iscram.org/files/aubrecht/2014/279_Aubrecht_etal2014.pdf
The Pennsylvania State University
English
2411-3387
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
2014
314
318
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