Abstract
To improve the personal mobility, safety, and environmental impact of passenger travel and to strengthen regional and national economies, planners, governments, and transportation companies throughout the world have been building high-speed rail (HSR) systems for more than half a century. Although many early systems were principally government projects, public–private partnerships are increasingly being used to design, build, operate, and maintain these HSR networks. However, engaging the private sector requires a clear understanding of the potential profit-ability of such a system. A key question affecting this understanding is the configuration of the line in terms of its length, number and location of stations, and ultimate alignment. A computer model was developed; it used station, route, and system data to determine the most profitable routes based on the proposed stations. In addition, a sensitivity analysis was conducted to determine which variables had the greatest impact on the costs and returns of an HSR route. The sensitivity analysis led to the division of the design variables into three categories based on their impact on profitability. Variables that were found to have a major influence were project concession period, ridership, fare, annual fare increase, train set availability, cost of building on a viaduct, and land value increase. Categorizing the design variables allows the model to be used more efficiently in a multiphase approach that reduces the time and resources required to assess potential HSR lines.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Transportation Research Record: Journal of the Transportation Research Board
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.