This paper reports the analysis of various data sets which was undertaken in order to understand better the choices made between modes of transport for long distance journeys. Both aggregate and disaggregate techniques were used which both revealed preference and stated preference data. In particular, models were developed of travel behaviour which account for the competition between modes and provide cross elasticity estimates. It was found that cross elasticities of car demand with respect to rail characteristics are very low (all <0.02 in the business market and <0.1 in the leisure market), while train demand is much more sensitive to the characteristics of cars. The detailed results show that, for car users, the way to make rail more attractive is to reduce rail journey time rather than reduce rail cost. Similarly, air travellers are more sensitive to rail time than rail cost, and sensitivity to both these attributes is greater on shorter flows (200-300 miles) than on the longer flows which are more dominant. It is thus much more difficult for rail to make significant inroads into air's market share on, say, the London-Scotland flows, and positive action by rail operators to reduce car traffic by reducing fares and journey times may be much less effective than policies which discourage or restrict car use directly. (A) For the covering abstract see IRRD 880168.


  • English

Media Info

  • Features: References;
  • Pagination: p. 29-39

Subject/Index Terms

Filing Info

  • Accession Number: 00724195
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 0-86050-283-X
  • Files: ITRD
  • Created Date: Aug 19 1996 12:00AM