Simulation of evacuation demand in some emergency conditions requires the use of dynamic models, among which sequential dynamic discrete choice models represent a special class. Sequential dynamic discrete choice models are based on discrete choice model theory and on sequential analysis, a statistical approach which allows one to analyze the given dynamic phenomenon in the sample database and to highlight, if it exists, a specific lag. This work is subdivided into two main parts. In the first part we propose an analysis of evacuation conditions requiring a dynamic approach and a state of the art of literature models which deal with these. In the second part we propose a brief description of sequential analysis and we introduce a sequential dynamic discrete choice model to simulate evacuation conditions.

Dynamic approaches to demand model in evacuation conditions / Russo, Francesco; Chilà, G. - 111:(2010), pp. 303-312. [10.2495/UT100271]

Dynamic approaches to demand model in evacuation conditions

RUSSO, Francesco;
2010-01-01

Abstract

Simulation of evacuation demand in some emergency conditions requires the use of dynamic models, among which sequential dynamic discrete choice models represent a special class. Sequential dynamic discrete choice models are based on discrete choice model theory and on sequential analysis, a statistical approach which allows one to analyze the given dynamic phenomenon in the sample database and to highlight, if it exists, a specific lag. This work is subdivided into two main parts. In the first part we propose an analysis of evacuation conditions requiring a dynamic approach and a state of the art of literature models which deal with these. In the second part we propose a brief description of sequential analysis and we introduce a sequential dynamic discrete choice model to simulate evacuation conditions.
2010
978-184564456-7
evacuation conditions; sequential dynamic demand model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/9125
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