TY - CONF
T1 - Improvement of Emergency Response in Urban Areas Using Open Source Data and Network Analysis
AU - Tzavella, A.
PY - 2016/7
Y1 - 2016/7
N2 - An effective flood risk management of extreme scenarios in urban areas can be achieved with an effective and timely emergency response. In a well mapped urban area such as Cologne city, it is very important for the effectiveness of emergency response activities, the responders to have up to date data, such as updated road network enriched with car speed and population density areas. Improved emergency response with routing algorithms through a network analysis of the study area plays an increasing role in civil protection and disaster risk reduction (DRR) in general. Highly vulnerable urban zones can be defined not only according to the density of the population as in many case studies (Cutter et. al., 2003 etc.) but also according to other factors such as income, migration background etc. Volunteered Geographic Information (VGI) holds potential for the evaluation and assessments of risk from natural hazards and for a rapid and comprehensive inventory of assets exposed to natural hazards (Shelhorn et. al, 2015). In this case study, we are adding value to the knowledge that should be taken in to account for an effective emergency response in an extreme flood scenario through the use of specific tools of network analysis in an ArcGIS environment and for the improvement of static vulnerability assessments. Specifically, we are utilizing free open source data (geodata) created by projects like OpenStreetMap provided and maintained from the community of Geofabrik (https://www.geofabrik.de/en/), the city of Cologne (http://www.offenedaten-koeln.de/dataset) and the international commission of the Rhine (http://www.iksr.org/) about actual damages, flood extent and vulnerability of the population in urban areas.
AB - An effective flood risk management of extreme scenarios in urban areas can be achieved with an effective and timely emergency response. In a well mapped urban area such as Cologne city, it is very important for the effectiveness of emergency response activities, the responders to have up to date data, such as updated road network enriched with car speed and population density areas. Improved emergency response with routing algorithms through a network analysis of the study area plays an increasing role in civil protection and disaster risk reduction (DRR) in general. Highly vulnerable urban zones can be defined not only according to the density of the population as in many case studies (Cutter et. al., 2003 etc.) but also according to other factors such as income, migration background etc. Volunteered Geographic Information (VGI) holds potential for the evaluation and assessments of risk from natural hazards and for a rapid and comprehensive inventory of assets exposed to natural hazards (Shelhorn et. al, 2015). In this case study, we are adding value to the knowledge that should be taken in to account for an effective emergency response in an extreme flood scenario through the use of specific tools of network analysis in an ArcGIS environment and for the improvement of static vulnerability assessments. Specifically, we are utilizing free open source data (geodata) created by projects like OpenStreetMap provided and maintained from the community of Geofabrik (https://www.geofabrik.de/en/), the city of Cologne (http://www.offenedaten-koeln.de/dataset) and the international commission of the Rhine (http://www.iksr.org/) about actual damages, flood extent and vulnerability of the population in urban areas.
M3 - Poster
ER -
