Models of Dynamic Data for Emergency Response: A Comparative Study


Share/Save/Bookmark

Zlatanova, S. and Dilo, A. and Vries, M. de and Fichtinger, A. (2010) Models of Dynamic Data for Emergency Response: A Comparative Study. In: Joint Symposium of ISPRS Technical Commission IV & AutoCarto 2010 Symposium, 15-19 November 2010, Orlando, Florida, USA.

open access
[img] PDF
405kB
Abstract:The first hours after a disaster happens are very chaotic and difficult but perhaps the most important for successfully fighting the consequences, saving human lives and reducing damages in private and public properties. Despite some advances, complete inventory of the information needed during the emergency response remains challenging. In the last years several nationally and internationally funded projects have concentrated on inventory of emergency response processes, structures for storing dynamic information and standards and services for accessing needed data sets. A good inventory would clarify many aspects of the information exchange such as data sets, models, representations; a good structuring would facilitate the fast access to a desired piece of information, as well as the automation of analysis of the information. Consequently the information can be used better in the decision-making process.
This paper presents our work on models for dynamic data for different disasters and incidents in Europe. The Dutch data models are derived from a thorough study on emergency response procedure in the Netherlands. Two more models developed within the project HUMBOLDT reflect several cross border disaster management scenarios in Europe. These models are compared with the Geospatial Data Model of the Department of Homeland Security in USA. The paper draws conclusions about the type of geographical information needed to perform emergency response operations and the possibility to have a generic model to be used world-wide.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/75753
Official URL:http://www.asprs.org/publications/proceedings/orlando2010/files/ZLATANOVA.PDF
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page