## 2 Systematic Assessment of Innovative Crisis Management Solutions
### Applying KeepOperational and ZKI in the Trial  
DLR's situational awareness system, composed of module KeepOperational and ZKI as introduced in Section 1.2, was selected by the trial committee together with a multidisciplinary consortium of CM practitioners to contribute to:  
* A net-centric inter-organizational data exchange of crisis information to create a common situational picture for all stakeholders involved. * Planning and management of a large-scale evacuation under consideration of traffic information. The ZKI module targeted the experienced shortcomings in the ability to exchange crisis-related information equally among emergency services as well as external organizations, with a focus on the impact phase of the event. Its set goal was to demonstrate the various capabilities of remote sensing-based crisis mapping services for an enhanced situational awareness by supporting internal and external actors concurrently with an up-to-date and large-scale overview of the situation. In addition to timely provided geo-services on the geographic extent of the flood, new analysis products on the affected and potentially damaged infrastructure such as 3D visualizations have been trialed. KeepOperational was applied to retrieve information obtained from airborne reconnaissance through ZKI and combine it with the practitioners' acquired information, such as field reports (e.g., local road blockades or reports on road congestions), to automatically adapt route suggestions accordingly. [PERSON] and [PERSON] [20] emphasize the socioeconomic benefit of such a situation-aware routing system for informed decision making in flood management. They also draw attention to potential improvements to their setup by using high-resolution aerial image data, additional obstacle \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Response** & & **Main Tasks** & **Tested Innovations** \\ Team & & & \\ \hline \multirow{6}{*}{CT Waterboard} & \(\bullet\) & calculate expected flood extent, water levels for specified & \\  & \(\bullet\) & locations & \\  & \(\bullet\) & inform about the expected situation & ZKI \\  & \(\bullet\) & calculate water depths, determine effects of mitigation & 1 Other New \\  & \(\bullet\) & measures & \\  & \(\bullet\) & assess the flood situation and determine restoration times & \\ \hline \multirow{6}{*}{CT Energy} & \(\bullet\) & determine locations to calculate expected water levels for & \\  & \(\bullet\) & determine protective measures based on the information on & ZKI \\  & \(\bullet\) & water levels by CT Waterboard & 2 Other New \\  & \(\bullet\) & determine effects on your own systems and (sub) stations & Technologies \\  & \(\bullet\) & prioritize locations to calculate expected water levels for & \\ \hline \multirow{6}{*}{CT Public Transport} & \(\bullet\) & prioritize locations to calculate expected water levels for & \\  & \(\bullet\) & determine protective measures based on the information on & \\ \cline{1-1}  & \(\bullet\) & water levels by CT Waterboard & ZKI \\ \cline{1-1}  & \(\bullet\) & determine available terms in and around the area & 2 Other New \\ \cline{1-1}  & \(\bullet\) & determine areas to be restored by mitigation measures and & Technologies \\ \cline{1-1}  & \(\bullet\) & request for restoration times & \\ \hline \multirow{6}{*}{CT Intern. Organizations} & \(\bullet\) & determine impact on the own organization (buildings, & \\ \cline{1-1}  & \(\bullet\) & personnel) & ZKI \\ \cline{1-1}  & \(\bullet\) & decision on consequences for organization based on the & 1 Other New \\ \cline{1-1}  & \(\bullet\) & situation. & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Cont. information, or real-time information on congestion points. DLR's module KeepOperational already implements this operationally. Verifying the benefit of such an improved design for an efficient evacuation procedure was the declared goal of KeepOperational's deployment.