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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bajaj, Garvita Singh, Pushpendra |
| Abstract | Evacuation drills are paramount for emergency preparedness as they train users for emergencies. The evaluation of these drills is critical as it provides insights about response times of building occupants. However, current evaluation of these drills is mostly manual, requiring a lot of human resources, and may still be imprecise with significant deviations from actual results. In this work, we emphasize the use of existing building infrastructure for an objective and automated evaluation of evacuation drills requiring lesser human resources compared to a manual evaluation. We propose the use of SNMP trap service on WiFi infrastructure for analysing occupant participation in evacuation drills. Traps are asynchronous messages sent by WiFi routers to server when an event (e.g. device authentication/de-authentication) occurs. Using the traps collected by our system during an informed drill, we study the evacuation patterns of building occupants. The results demonstrate that half the building users do not participate in the drill, and 34% of participating users evacuate the building using lifts. Our study further validates that most users in an informed fire drill violate the basic assumption -- that all users immediately evacuate the building in case of an emergency alarm. It also testifies the need for issuing prompt instructions to occupants to achieve successful evacuation. |
| Starting Page | 1423 |
| Ending Page | 1432 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450335751 |
| DOI | 10.1145/2800835.2801613 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-09-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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