Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
How urban environment effects travel behaviour: integrated choice and latent variable model for travel schedules.
Year:2013
Research Areas
  • Transport
Information
Abstract
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 and structure of the tours. The concept of tour in this context relates to a set of trips during the study day. At the same time, qualitative issues related to the individual?s attitude towards specific behaviour have recently become important in transport modelling contributing to a better understanding of travel demand. Following this research line, this paper aims to study the effect of neighbourhood characteristics in the choice of the type of tours performed. 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. The propensity to travel is indicative of the tendency to undertake trips, and it is related to the individual socio-economic characteristics and the neighbourhood characteristics. 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 3 different neighbourhoods (CBD, urban and suburban). 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 each tour and increases the probability of choosing more 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.
International
Si
Book Edition
Book Publishing
ISBN
978-1-78100-726-6
Series
Book title
Choice Modelling: The State of the Art and the State of Practice
From page
211
To page
228
Participants
  • Autor: Lissy Cesarina La Paix Puello (Universidad de Twente - Holanda)
  • Autor: Michel Bierlaire
  • Autor: Elisabetta Cherchi ((Universidad Técnica de Dinamarca))
  • Autor: Andres Monzon De Caceres (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Planificación del Transporte
  • Centro o Instituto I+D+i: Centro de Investigación del Transporte
  • Departamento: Ingeniería Civil: Transportes
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