Commuting and urban structures in Belgium:an exploratory data mining analysis on 2001 data

This paper deals with homework commuting in Belgiumand tries to find out the mostimportant determinants in mode choice. The empirical analysis is based on the socio-economic census that was carried out in 2001. By means of data mining and logistic regression the most important relationships between the target (car use, bicycle use and use of public transport) and some determining variables (socio-economic characteristics of the individual, characteristics of the household, determinants of his/her spatial location,...) were put forward and further analyzed. This gave us a better insight in the commuting behaviour of the Belgian population. Both statistical techniques lead to the same results:the most important variables to explain for car use for work purposes are distance and time between home and work as well as education. Bicycle use is explained by distance between home and work, followed by region and professional status. For public transport, the Standard Metropolitan Labour Area, region and time distance from home to work are most determmining. Hence, geography (distance) still matters in commuting behaviour! For the covering abstract of the conference see ITRD Abstract n°E218203.

  • Authors:
    • BEELEN, M
    • THOMAS, I
  • Publication Date: 2005


  • English

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  • Accession Number: 01144000
  • Record Type: Publication
  • Source Agency: TRL
  • Files: ITRD
  • Created Date: Nov 16 2009 12:19PM