Table of Contents

Spatial Dynamics, Networks and Modelling

Spatial Dynamics, Networks and Modelling

New Horizons in Regional Science series

Edited by Aura Reggiani and Peter Nijkamp

This important new book provides a valuable set of studies on spatial dynamics, emerging networks and modelling efforts. It employs interdisciplinary concepts alongside innovative trajectories to highlight recent advances in analysing and modelling the spatial economy, transport networks, industrial dynamics and regional systems. It is argued that modelling network processes at different spatial scales provides critical information for the design of plans and policies. Furthermore, a key issue in the current complex and heterogeneous landscape is the adoption and validation of new approaches, models and methodologies, which are able to grasp the emergent aspects of economic uncertainty and discontinuity, as well as overcome the current difficulties of carrying out appropriate forecasts. In exploring diverse pathways for theoretical, methodological and empirical analysis, this exciting volume offers promising and evolutionary perspectives on the modern spatial network society.

Chapter 7: Route Choice Behaviour with Risk-Averse Users

André de Palma and Nathalie Picard

Subjects: economics and finance, regional economics, urban and regional studies, regional economics


André de Palma and Nathalie Picard 7.1 INTRODUCTION Route choice is one of the problems that have been studied most intensively over recent decades in transportation and regional science, although, of course, engineers and geographers were not the first to discover this problem.1 We will be interested here in the choice between two different routes. One route, S, has a deterministic travel time and the other, R, has a random travel time. We will assume that there is no congestion and that the only characteristic to be taken into account is travel time. As a consequence, the problem is almost trivial, except for the fact that the travel time on one of the routes is stochastic. See, for example, de Palma et al. (1983) or AbdelAty et al. (1994) in the context of departure time choice. We underline that for an individual, the choice of a route has an uncertain outcome in terms of travel time. Moreover, the time-risk involved is assessed in different ways by people with different risk aversions. To the best of our knowledge, this feature is not explicitly introduced in the usual models of route choice, even though it appears in empirical analyses in the guise of a time reliability exogenous variable: for example, in stated preferences experiments (see de Palma and Picard 2005). One simple way to solve this two-routes-in-parallel problem is to assume that the individuals will select the route with the shortest expected travel time. Here, we assume that the expected travel time...

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