A Review of Building Evacuation Models - NIST Virtual Library
A Review of Building Evacuation Models - NIST Virtual Library
A Review of Building Evacuation Models - NIST Virtual Library
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
A.17 ALLSAFE<br />
InterConsult Group ASA, Norway<br />
Purpose <strong>of</strong> the model: The purpose <strong>of</strong> this model is to determine whether or not occupants are<br />
at risk depending upon input data for the building, the building use, the occupants, and the<br />
11, 75-77<br />
design fire scenario<br />
Availability to the public for use: This model is available through in-house consultancy from<br />
InterConsult.<br />
Modeling method: This is considered as a partial behavioral model.<br />
Structure <strong>of</strong> model: This is a coarse network system. The building is input into the model<br />
through a series <strong>of</strong> nodes. For each node, the user specifies the minimum clearance width,<br />
walking distance to the next node, initial number <strong>of</strong> occupants at node, and the area <strong>of</strong> the node.<br />
The model simulates only one exit per node structure, but can simulate multiple node structures<br />
in parallel. Because <strong>of</strong> this, the occupants in each node structure head to only one exit.<br />
Perspective <strong>of</strong> model and occupant: The model seems to view the occupants globally because<br />
<strong>of</strong> the statement saying that ALLSAFE assigns the behavioral characteristics to groups <strong>of</strong><br />
occupants or the worst-case scenario group. Also, the times presented in the output are assigned<br />
to the entire population, instead <strong>of</strong> each individual.<br />
The occupants’ perspective <strong>of</strong> the floor plan and building is also global since they only have one<br />
exit to choose from.<br />
Occupant behavior: Implicit. ALLSAFE assigns behavioural characteristics to groups <strong>of</strong> the<br />
population considered to be the worst-case <strong>of</strong> the evacuation scenario. The model includes such<br />
input data as background noise, social and economic barriers among the occupants, language, the<br />
fire protection system measures, and the fire scenarios. These input data affect the evacuation<br />
time by adding or subtracting times (as obtained from the database within the model). The<br />
model also incorporates time delays and time improvements due to voice alarm systems,<br />
sprinklers, compartmentation, etc. The model calculates these from tables <strong>of</strong> data. An example<br />
<strong>of</strong> suggested time effects from different variables is included in Table A.12. These effects were<br />
gathered from literatures and/or by using Delphi-panels.<br />
A-59