A novel approach for HST delays using pythagorean fuzzy AHP and regression analysis

dc.contributor.authorTosun, Hümeyra Bolakar
dc.date.accessioned2022-01-26T06:32:08Z
dc.date.available2022-01-26T06:32:08Z
dc.date.issued2021
dc.departmentMühendislik Fakültesi
dc.description.abstractThe 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.
dc.identifier.doi10.1155/2021/9144215
dc.identifier.endpage-en_US
dc.identifier.issn1687-8086
dc.identifier.issn1687-8094
dc.identifier.issue-en_US
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.1155/2021/9144215
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9156
dc.identifier.volume-en_US
dc.identifier.wosWOS:000741117200004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherHindawi Limited
dc.relation.ispartofAdvances in Civil Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTrain
dc.subjectPrediction
dc.titleA novel approach for HST delays using pythagorean fuzzy AHP and regression analysis
dc.typeArticle

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