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 from Spain. The existing literature is scarce, and the models used have several main issues, such as arbitrariness, and not representing the...
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Format: | Article |
Language: | English |
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Sciendo
2023-09-01
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Series: | Review of Economic Perspectives |
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Online Access: | https://doi.org/10.2478/revecp-2023-0008 |
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author | Celebi Ismail |
author_facet | Celebi Ismail |
author_sort | Celebi Ismail |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T22:06:29Z |
format | Article |
id | doaj.art-fe4769e150ac40e68ec5b60f2ab18757 |
institution | Directory Open Access Journal |
issn | 1804-1663 |
language | English |
last_indexed | 2024-03-11T22:06:29Z |
publishDate | 2023-09-01 |
publisher | Sciendo |
record_format | Article |
series | Review of Economic Perspectives |
spelling | doaj.art-fe4769e150ac40e68ec5b60f2ab187572023-09-25T06:07:36ZengSciendoReview of Economic Perspectives1804-16632023-09-0123321723210.2478/revecp-2023-0008Ranking methodology to prioritize high-speed railway corridorsCelebi Ismail01Masaryk University, Faculty of Economics and Administration, Lipová 41a, 602 00Brno, Czech RepublicThe 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.https://doi.org/10.2478/revecp-2023-0008gravity modelhigh speed railrankingtransport demandtransport planningr41r42 |
spellingShingle | Celebi Ismail Ranking methodology to prioritize high-speed railway corridors Review of Economic Perspectives gravity model high speed rail ranking transport demand transport planning r41 r42 |
title | Ranking methodology to prioritize high-speed railway corridors |
title_full | Ranking methodology to prioritize high-speed railway corridors |
title_fullStr | Ranking methodology to prioritize high-speed railway corridors |
title_full_unstemmed | Ranking methodology to prioritize high-speed railway corridors |
title_short | Ranking methodology to prioritize high-speed railway corridors |
title_sort | ranking methodology to prioritize high speed railway corridors |
topic | gravity model high speed rail ranking transport demand transport planning r41 r42 |
url | https://doi.org/10.2478/revecp-2023-0008 |
work_keys_str_mv | AT celebiismail rankingmethodologytoprioritizehighspeedrailwaycorridors |