<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Ranking methodology to prioritize high-speed railway corridors

Masaryk University, Faculty of Economics and Administration

Review of Economic Perspectives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Ranking methodology to prioritize high-speed railway corridors"}

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...

Ranking methodology to prioritize high-speed railway corridors

Published Online: Sep 20, 2023

Page range: 217 - 232

Received: May 09, 2023

Accepted: Jul 14, 2023

DOI: https://doi.org/10.2478/revecp-2023-0008

Keywords
gravity model, high speed rail, ranking, transport demand, transport planning

© 2023 Ismail Celebi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Ranking methodology to prioritize high-speed railway corridors

Published Online: Sep 20, 2023

Page range: 217 - 232

Received: May 09, 2023

Accepted: Jul 14, 2023

DOI: https://doi.org/10.2478/revecp-2023-0008

Keywordsgravity model, high speed rail, ranking, transport demand, transport planning

© 2023 Ismail Celebi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
gravity model, high speed rail, ranking, transport demand, transport planning