La Paix, Lissy3; Bierlaire, Michel4; Cherchi, Elisabetta2; Monzón, Andrés3
Stephane Hess, Andrew Daly
1 Department of Transport, Technical University of Denmark2 Traffic modelling and planning, Department of Transport, Technical University of Denmark3 Universidad Politécnica de Madrid4 École Polytechnique Fédérale de Lausanne
The relationship between urban environment and travel behaviour is not a new problem. Neighbourhood characteristics may affect mobility of dwellers in different ways, such as frequency of trips, mode used, structure of the tours, and so on. At the same time, qualitative issues related to the individual attitude towards specific behaviour have recently become important in transport modelling contributing to a better understanding of travel demand. Following this research line, in this paper we study the effect of neighbourhood characteristics in the choice of the type of tours performed, but we assume that neighbourhood characteristics can also affect the individual propensity to travel and hence the choice of the tours throughout the propensity to travel. Since the propensity to travel is not observed, we employ hybrid choice models to estimate jointly the discrete choice of tours and the latent variable that measure the tendency to undertake trips. The discrete choice model simulates the choice among tours characterised by different purpose for the main activity and the number of intermediate stops performed. The data used in this study comes from a survey conducted in 2006 and 2007 in Madrid. A total of 943 individuals were interviewed in three different neighbourhoods. The results show that neighbourhood attributes have indeed a significant impact on the choice of the type of tours either directly and through the propensity to travel. The propensity to travel has a different impact depending on the structure of the tour and increases the probability of choosing non working tours and complex tours, such as tours with many intermediate stops. Finally, as expected, the hybrid models show a major improvement into the goodness of fit of the model, compared to a classical discrete choice model that does not incorporate latent effects.
Choice Modelling. the State of the Art and the State of Practice, 2013, p. 211-228