Forecasting the patronage of high speed rail in Southern California

This paper presents an intercity travel demand model for estimating the potential high speed rail (HSR) ridership in Southern California. The model consists of two components: a mode choice module and a total corridor demand module. The mode choice module, in a nested logit functional form, estimates the market share among air, automobile, conventional rail/intercity bus, and HSR modes. The total corridor demand module, in a Cobb-Douglas functional form, contains variables of population, employment, average income, and impedance measures, which are the log sum of the denominators calculated from the nested logit formulation in the mode choice module. This model was applied to estimate the ridership for the HSR service between Los Angeles and Bakersfield in Southern California. The model was applied for various levels of technology such as Maglev, French TGV, Japanese Shinkansen, Swedish X-2000, and Spanish TALGO tilt trains. As the market share increases with the level of technology, the induced travel demand due to HSR was found to be in the range of up to 6%.

Language

  • English

Media Info

  • Pagination: 377-82
  • Monograph Title: Regional road strategies
  • Serial:
    • Volume: 1

Subject/Index Terms

Filing Info

  • Accession Number: 01401357
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 9579709947
  • Files: ITRD, ATRI
  • Created Date: Aug 23 2012 8:09PM