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A Review of Building Evacuation Models - NIST Virtual Library

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not gained, and this is labeled as a negative instance. The probabilities <strong>of</strong> acquiring or not<br />

acquiring information are shown here as Equations (A.6):<br />

+<br />

−<br />

+ n<br />

− n<br />

p =<br />

p =<br />

(A.6)<br />

+ −<br />

+ −<br />

n + n<br />

n + n<br />

In these equations, n + is the number <strong>of</strong> positive instances and n - refers to the negative instances.<br />

The total entropy <strong>of</strong> the system is given by Equation (A.7):<br />

+<br />

+ −<br />

−<br />

H = −( p )log<br />

2<br />

p − ( p ) log<br />

2<br />

p<br />

(A.7)<br />

Assumptions used in the model are the following:<br />

• Evacuees do not have previous knowledge <strong>of</strong> the building<br />

• Each evacuee is treated as the only occupant in the building, ignoring influence <strong>of</strong> other<br />

occupants<br />

• Multiple exits from any compartment are equally likely<br />

• No signage is used throughout the building<br />

• Evacuees do not experience panic<br />

• All evacuees are able-bodied<br />

• All networks are trees<br />

• A backtrack path is equivalent to one positive and one negative instance<br />

• A forward path resembles a positive instance.<br />

• Each evacuee has a path memory.<br />

• An example <strong>of</strong> the steps taken for the most basic model is shown here. This example<br />

involves a single floor, single exit and the steps that the model takes to reach an output <strong>of</strong><br />

entropy and complexity are listed:<br />

• Selection <strong>of</strong> a node on the network which is not an exit<br />

• For the arcs on the path that lead directly from the node to the exit, a single-headed arrow is<br />

drawn in the direction <strong>of</strong> the exit <br />

• On all other remaining arcs, a double headed arrow is drawn.<br />

• Count the number <strong>of</strong> double-headed arrows and this is the value for n -<br />

• Count the number <strong>of</strong> single-headed arrows and this is the value for n +<br />

• Substitute the values in for n - and n + to calculate the entropy value for that node<br />

• Repeat steps 1-6 for each non-exit node<br />

• Average all nodal entropy values together<br />

This results in the average entropy value for each node or the overall complexity value.<br />

The suggested improvements to the model, such as occupants with disabilities, buildings with<br />

greater than one exit, simulation <strong>of</strong> locked doors, etc. were listed but not explained as to how<br />

these would alter the simulation and results.<br />

Output: The output from the model is an average entropy value for each node, which is the<br />

overall complexity value for each floor.<br />

Use <strong>of</strong> fire data: None.<br />

A-76

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