Data di Pubblicazione:
2010
Citazione:
Dynamic approaches to demand model in evacuation conditions / Russo, Francesco; Chilà, G. - 111:(2010), pp. 303-312. [10.2495/UT100271]
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.
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.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
evacuation conditions; sequential dynamic demand model
Elenco autori:
Russo, Francesco; Chilà, G
Link alla scheda completa:
Titolo del libro:
Proc. of Urban Transport XVI, Urban Transport and the Environment in the 21st century
Pubblicato in: