Residential self-selection and geographical scales in trip frequency

Lissy Cesarina La Paix Puello, A. Monzón, E. Cherchi, M. Loro

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Neighbourhood representation and scale used to measure the built environment have been treated in many ways. However, it is anything but clear what representation of neighbourhood is the most feasible in the existing literature. This paper presents an exhaustive analysis of built environment attributes through three spatial scales. For this purpose multiple data sources are integrated, and a set of 943 observations is analysed. This paper simultaneously analyses the influence of two methodological issues in the study of the relationship between built environment and travel behaviour: (1) detailed representation of neighbourhood by testing different spatial scales; (2) the influence of unobserved individual sensitivity to built environment attributes. The results show that different spatial scales of built environment attributes produce different results. Hence, it is important to produce local and regional transport measures, according to geographical scale. Additionally, the results show significant sensitivity to built environment attributes depending on place of residence. This effect, called residential sorting, acquires different magnitudes depending on the geographical scale used to measure the built environment attributes. Spatial scales risk to the stability of model results. Hence, transportation modellers and planners must take into account both effects of self-selection and spatial scales.
Original languageEnglish
Title of host publicationProceedings of the 13th World Conference of Transport Research, WCTR, July 15-18, 2013 – Río, Brazil
Place of PublicationRio de Janeiro, Brazil
Publication statusPublished - 15 Jul 2013
Event13th World Conference on Transport Research, WCTR 2013 - Rio de Janeiro, Brazil
Duration: 15 Jul 201318 Jul 2013
Conference number: 13

Publication series



Conference13th World Conference on Transport Research, WCTR 2013
Abbreviated titleWCTR
CityRio de Janeiro


  • METIS-292731
  • IR-90737


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