## 3 Results
### Case Study: Proof-of-Concept Demonstration  
As part of the HCD process, we provided some analytics of value for determining evacuations from a fire (Figure 6) and how public perception influences our ability to communicate and keep communities safe (Figure 7). The first evacuation notice appeared on Twitter at 12:57 pm but does not include specifics about which areas were affected by the evacuation order. Official guidelines specified that if you see flames, evacuate. Shortly after, individual replies provided details about which areas were under evacuation including the entire town of Superior. Over the next hour, video was shared by those returning to grab their belongings and pets that documented traffic flow into the cities of Superior and Boulder, the first areas under mandatory evacuation. Within an hour, traffic was at a standstill for both Superior and Boulder. Shortly after 2 pm, the town of Louisville was ordered to evacuate. There was a steady stream of communications as residents evacuated and shared updates from their mobile phones while stuck in traffic. Information was shared about unforeseen events such as traffic light outages and freight trains, also disrupted by the fire, that were blocking surface streets. By analyzing evacuation potential (Figure 6) at walking speed, we see that it can take hours to escape the fire perimeter and surrounding areas. Pedestrians or disabled travelers without access to motorized transport may not be able to cover enough ground to find a safe destination. These would not be concerns if \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Type of Limitation or Opportunity** & **\# of User Personas** & **Requirement Consolidated Across Personas** \\ \hline Product Definition & 7 & Information technology shall be interoperable to “plug in” to existing data portals used by User Personas to reduce the number of sources/screens that they must visit and enable them to use existing data layers. \\ \cline{2-3}  & 1 & Data platforms should plug into a single existing government data portal when one becomes available by the federal government. \\ \hline User Experience (UX) & 5 & Information layers shall be intuitive to interpret to reduce training for use. \\ \hline Accessibility & 6 & Information technologies shall be accessible via a cell phone or government laptop with limited connectivity. \\ \cline{2-3}  & 1 & Information layers shall be accessible via both information technologies and print outs. \\ \cline{2-3}  & 1 & Information layers shall be archivable with provenance to be public record. \\ \hline Business Model & 5 & Information technologies shall meet the objectives of federal funding sources while also servicing local and state decision needs. \\ \hline Trustworthy AI & 4 & Information for value-added analytics shall have transparent documentation of algorithms. \\ \cline{2-3}  & 4 & Information for value-added analytics shall be open source. \\ \cline{2-3}  & & Information for value-added analytics shall include uncertainty and error propagation. \\ \hline Product Requirements & 5 & Information for value-added analytics shall be archived for long-term access. \\ \cline{2-3}  & 5 & Information for value-added analytics shall be pre-processed and ready to use. \\ \cline{2-3}  & 5 & Information for value-added analytics shall incentivize more resilient behavior and penalize less resilient behavior. \\ \cline{2-3}  & & Information technologies shall integrate cybersecurity. \\ \cline{2-3}  & & Information technologies should be marketed to the relevant agencies for using the available information. \\ \hline Other Technology and Cultural Needs & 1 & Information technologies should include a business model to better serve less advantaged communities without exploiting them. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: This is the Product Traceability Matrix that provides requirements for providing information and information technologies of value.