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Ranking methodology to prioritize high-speed railway corridors

Author

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  • Celebi Ismail

    (Masaryk University, Faculty of Economics and Administration, Lipová 41a, 602 00 Brno, Czech Republic)

Abstract

The purpose of this article is to create and calibrate a high-speed rail passenger traffic-based ranking model using historical high-speed rail ridership data from Spain. The existing literature is scarce, and the models used have several main issues, such as arbitrariness, and not representing the real relations of variables. These models are analysed using real-world high-speed rail data; and improved by calibration with the data. Based on the results, I demonstrate the strengths and weaknesses of these models and propose a new model by combining the strong aspects of these models. I also show the importance of intermediate cities for the estimated ridership of an HSR corridor. The study develops our understanding of the ranking models and provides a more promising ranking solution as a contribution to high-speed rail planning.

Suggested Citation

  • Celebi Ismail, 2023. "Ranking methodology to prioritize high-speed railway corridors," Review of Economic Perspectives, Sciendo, vol. 23(3), pages 217-232, September.
    • Handle: RePEc:vrs:reoecp:v:23:y:2023:i:3:p:217-232:n:3
    DOI: 10.2478/revecp-2023-0008
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    More about this item

    Keywords

    gravity model; high speed rail; ranking; transport demand; transport planning;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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