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Analysis of factors affect high speed train ridership in the united states —The acela express case study

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  • Chen, Zhenhua

Abstract

In this study, we focus on the Acela Express, and try to find out how selected internal and external factors affect the Acela Express’s ridership. A two-stage least square regression model is introduced in order to eliminate the endogeneity problem caused by price and ridership. Also the Cochrane-Orcutt Procedure is adopted to solve autocorrelation. The result shows that ticket price and train on-time performances, which are used to being thought as important factors affect ridership become insignificant, while other factors like employment of business and professional in the Northeast Corridor areas have higher influence on high speed train ridership. The broader objective of this research is to provide policy suggestions for building of an efficient high-speed rail network that can both be profitable and solve practical problems that the contemporary transportation system faces.

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  • Chen, Zhenhua, 2010. "Analysis of factors affect high speed train ridership in the united states —The acela express case study," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207261, Transportation Research Forum.
    • Handle: RePEc:ags:ndtr10:207261
    DOI: 10.22004/ag.econ.207261
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