Dynamic Approaches To Demand Model In
Evacuation Conditions
Author(s)
F. Russo & G. Chilà
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.
Keywords: evacuation conditions, sequential dynamic demand model.
1 Introduction
Demand models are a fundamental tool for solving most problems in transport
systems planning and management. Several mathematical models to simulate
transport demand are proposed in the literature. These are based on various
assumptions and can be subdivided in relation to different elements: type of
choice implicitly or explicitly simulated by the model; approach taken for
simulating travel demand, i.e. the reciprocal conditioning of decisions; basic
assumptions of the models, which can be behavioural if they derive from explicit
assumptions about user choice behaviour, or descriptive otherwise. In most
cases, these models belong to discrete choice models, which are defined in
Keywords
evacuation conditions, sequential dynamic demand model
Related Book
Other papers in this volume
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