Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
How urban environment affects travel behaviour? Integrated Choice and Latent Variable Model for Travel Schedules.
Year:2011
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
Congress
2nd International Choice Modelling Conference.
960
Place
Leeds (Inglaterra)
Reviewers
Si
ISBN/ISSN
Start Date
04/07/2011
End Date
07/07/2012
From page
1
To page
18
Participants
  • Autor: Lissy Cesarina La Paix Puello (UPM)
  • Autor: Michel Bierlaire
  • Autor: Elisabetta Cherchi (Technical University of Denmark)
  • 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
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)