Forecasting demand for high speed rail
AbstractIt is sometimes argued that standard state-of-practice logit based models cannot forecast the demand for substantially reduced travel times, for instance due to High Speed Rail (HSR). The present paper investigates this issue by reviewing travel time elasticities for long-distance rail travel in the literature and comparing these with elasticities observed when new HSR lines have opened. This paper also validates the Swedish official long-distance model and its forecasted demand for a proposed new HSR track, using aggregate data revealing how the air-rail modal split varies with the difference in generalized travel time between rail and air. The official linear-in-parameters long-distance model is also compared to a model applying Box-Cox transformations. The paper contributes to the empirical literature on long-distance travel, long-distance elasticities and HSR passenger demand forecasts. Results indicate that the Swedish state-of-practice model, and similar models, is indeed able to predict the demand for a HSR reasonably well. The non-linear model, however, has better model fit and slightly higher elasticities.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CTS - Centre for Transport Studies Stockholm (KTH and VTI) in its series Working papers in Transport Economics with number 2012:12.
Length: 19 pages
Date of creation: 03 May 2012
Date of revision:
Contact details of provider:
Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden
Web page: http://www.kth.se/abe/om_skolan/organisation/centra/cts
High speed rail; Travel demand; Forecasting; Air-rail share; Cost-benefit analysis;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
- R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-05-15 (All new papers)
- NEP-FOR-2012-05-15 (Forecasting)
- NEP-TRE-2012-05-15 (Transport Economics)
- NEP-TUR-2012-05-15 (Tourism Economics)
- NEP-URE-2012-05-15 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Börjesson, Maria & Eliasson, Jonas, 2012. "Experiences from the Swedish Value of Time study," Working papers in Transport Economics 2012:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
- Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer, vol. 31(1), pages 21-38.
- Cheng, Yung-Hsiang, 2010. "High-speed rail in Taiwan: New experience and issues for future development," Transport Policy, Elsevier, vol. 17(2), pages 51-63, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mats Berggren).
If references are entirely missing, you can add them using this form.