Author(s)

F. Russo & G. Chilà

Abstract

An advancement on demand models for the simulation of a transportation system in emergency conditions is the aim of this work. Advancement is related to demand models specified for the research project SICURO, organized by the Laboratory for Transport Systems Analysis (LAST). Herein we propose specification and calibration of generation and distribution with modal choice models. In comparison with demand models previously presented, a generation model according to a behavioural approach is proposed. Major attention is focused on SP (Stated Preference) surveys, in comparison with the RP (Revealed Preference) surveys previously considered. Keywords: emergency condition, simulation, demand model. 1 Introduction Demand models are a fundamental tool for most problems in the planning and management of transport systems. Travel demand is usually expressed by origindestination matrices, whose elements represent the number of users, belonging to a socio-economic segment, travelling from each origin to each destination in a defined time period by each mode of transport [3]. Several mathematical models to simulate travel demand are proposed in the literature. These are based on different assumptions and can be subdivided in relation to different elements [1,4,5]. Generally, these models are applied to simulate transport demand in ordinary conditions.

Keywords

emergency condition, simulation, demand model.