[ 19th December 2004 by Kumar Gaurav 0 Comments ]

Sustainability of travel demand forecasting models

  • Version
  • Download 3460
  • File Size 79.91 KB
  • File Count 1
  • Create Date 19th December 2004
  • Last Updated 19th December 2004

Sustainability of travel demand forecasting models


Abstract: There is increasing research work on travel demand forecasting using different sources of data including stated preference and revealed preference data. There are a number of problems that can be associated with data collection, sampling methods and types of data used in such models. For example, the problem of repeated measurements in stated preference data has generally been recognised in the literature but ignored in practice (Bates & Terzis, 1997). This problem has been investigated and a number of correction factors have been suggested. Other error sources include the scale factor and taste variations. In this paper five randomly selected samples are drawn from a larger data set and used to investigate the reliability of the forecasting models using the segmented models relative to the full data set model. All segments have the same sample size and the same number of observations per respondent. A reliability indicator has been derived to investigate the variations in the coefficient estimates. This indicator shows a range of variations in the estimates. Further research is clearly needed in this area.
Keywords: Stated preference; error sources; forecasting; reliability and correction factors

Attached Files

12- WAFA-Itemid=.pdfDownload 
AboutKumar Gaurav

Leave a Reply