Passenger Flow Forecast in Guangzhou-Shenzhen (Hong Kong) High Speed Railway

This paper investigates forecasting In order to determine the future of passenger flow of the Guangzhou-Shenzhen (Hong Kong) high speed railway.. First, the Gray Forecast Model is applied to the calculation of GDP, population and employees in the traffic districts along the railway. Secondly, after carefully analysing the four step traffic forecast method, the paper calculates passenger flow generation and attraction, passenger flow distribution and passenger flow proportion of the high speed railway. Finally, the forecast results of passenger flow in 2020 and 2030 is determined.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 1192-1197
  • Monograph Title: ICTE 2011

Subject/Index Terms

Filing Info

  • Accession Number: 01446991
  • Record Type: Publication
  • ISBN: 9780784411841
  • Files: TRIS, ASCE
  • Created Date: Aug 19 2011 4:40PM