A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis

The increased need for transportation worldwide has led to intense competition among several transportation types. Thus, considering factors affecting the choice of transportation means of passengers is essential. In many countries, railways have been losing market share in both freight and passenge...

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Main Author: Hümeyra Bolakar Tosun
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/9144215
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author Hümeyra Bolakar Tosun
author_facet Hümeyra Bolakar Tosun
author_sort Hümeyra Bolakar Tosun
collection DOAJ
description The increased need for transportation worldwide has led to intense competition among several transportation types. Thus, considering factors affecting the choice of transportation means of passengers is essential. In many countries, railways have been losing market share in both freight and passenger transport, especially against highways. Railway transport systems must regain their declining share for the sake of the economy and sustainability. For this reason, many studies have been conducted to eliminate delays in high-speed trains, the speed of which is the most important criterion for preference. This study determines the reasons for train delays in a bid to make the high-speed train project successful in Turkey and for trains to serve better. Furthermore, regression analysis and the Pythagorean fuzzy analytic hierarchy process (AHP) analysis were performed according to the most effective criteria. The most effective criteria were determined as maintenance, repair, and closure due to renewal. Additionally, various suggestions regarding the effect of the obtained causes on train delays were put forward.
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institution Kabale University
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language English
publishDate 2021-01-01
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series Advances in Civil Engineering
spelling doaj-art-417b76f753d64fffb6f4c80ff6bbb73d2025-02-03T01:04:11ZengWileyAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/9144215A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression AnalysisHümeyra Bolakar Tosun0Department of Civil EngineeringThe increased need for transportation worldwide has led to intense competition among several transportation types. Thus, considering factors affecting the choice of transportation means of passengers is essential. In many countries, railways have been losing market share in both freight and passenger transport, especially against highways. Railway transport systems must regain their declining share for the sake of the economy and sustainability. For this reason, many studies have been conducted to eliminate delays in high-speed trains, the speed of which is the most important criterion for preference. This study determines the reasons for train delays in a bid to make the high-speed train project successful in Turkey and for trains to serve better. Furthermore, regression analysis and the Pythagorean fuzzy analytic hierarchy process (AHP) analysis were performed according to the most effective criteria. The most effective criteria were determined as maintenance, repair, and closure due to renewal. Additionally, various suggestions regarding the effect of the obtained causes on train delays were put forward.http://dx.doi.org/10.1155/2021/9144215
spellingShingle Hümeyra Bolakar Tosun
A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
Advances in Civil Engineering
title A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
title_full A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
title_fullStr A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
title_full_unstemmed A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
title_short A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis
title_sort novel approach for hst delays using pythagorean fuzzy ahp and regression analysis
url http://dx.doi.org/10.1155/2021/9144215
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