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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Main Author: Celebi Ismail
Format: Article
Language:English
Published: Sciendo 2023-09-01
Series:Review of Economic Perspectives
Subjects:
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.
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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