Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach
One of the key service elements of travel companies operating in the road transportation sector are passenger buses. Deciding to purchase a new bus requires managers to consider various aspects, complicating the decision-making process. In this context, implementing Multi-Criteria Decision Making (M...
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| Format: | Article |
| Language: | English |
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Croatian Interdisciplinary Society
2024-10-01
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| Series: | Interdisciplinary Description of Complex Systems |
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| Online Access: | https://www.indecs.eu/2024/indecs2024-pp616-632.pdf |
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| _version_ | 1846099249847074816 |
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| author | Hakan Murat Arslan İsmail Durak Ece Yavuzyilmaz |
| author_facet | Hakan Murat Arslan İsmail Durak Ece Yavuzyilmaz |
| author_sort | Hakan Murat Arslan |
| collection | DOAJ |
| description | One of the key service elements of travel companies operating in the road transportation sector are passenger buses. Deciding to purchase a new bus requires managers to consider various aspects, complicating the decision-making process. In this context, implementing Multi-Criteria Decision Making (MCDM) methodologies in such decision problems can provide more accurate and effective solutions. The aim of this study is to investigate the new bus purchase decision processes of travel companies operating in Turkey with MCDM methods and to determine the most suitable bus model. Ten major bus models were analyzed in the study using four different MCDM approaches based on four major criteria and 16 sub-criteria. The weights of the criteria used in the evaluation of the relevant decision problem were determined by the Entropy method. Moreover, WASPAS, EDAS, and Gray Relational Analysis were utilized separately to discover the best suitable alternative. Furthermore, the rankings generated by these several MCDM approaches were compared using Spearman Rank Correlation Analysis in the study, and they were found to be highly consistent. The study provides several key recommendations for academic research and industry practice moving forward. |
| format | Article |
| id | doaj-art-5e9a76346a3c41fca1a0fea2075603c8 |
| institution | Kabale University |
| issn | 1334-4684 1334-4676 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Croatian Interdisciplinary Society |
| record_format | Article |
| series | Interdisciplinary Description of Complex Systems |
| spelling | doaj-art-5e9a76346a3c41fca1a0fea2075603c82024-12-31T18:34:16ZengCroatian Interdisciplinary SocietyInterdisciplinary Description of Complex Systems1334-46841334-46762024-10-0122561663210.7906/indecs.22.5.7 Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making ApproachHakan Murat Arslan0https://orcid.org/0000-0002-3515-5358İsmail Durak1Ece Yavuzyilmaz2https://orcid.org/0000-0001-9273-3292Duzce University, Faculty of Business, Department of Management and Information Systems, Düzce, TürkiyeDuzce University, Faculty of Business, Department of Management and Information Systems, Düzce, TürkiyeDuzce University, Faculty of Business, Department of Management and Information Systems, Düzce, TürkiyeOne of the key service elements of travel companies operating in the road transportation sector are passenger buses. Deciding to purchase a new bus requires managers to consider various aspects, complicating the decision-making process. In this context, implementing Multi-Criteria Decision Making (MCDM) methodologies in such decision problems can provide more accurate and effective solutions. The aim of this study is to investigate the new bus purchase decision processes of travel companies operating in Turkey with MCDM methods and to determine the most suitable bus model. Ten major bus models were analyzed in the study using four different MCDM approaches based on four major criteria and 16 sub-criteria. The weights of the criteria used in the evaluation of the relevant decision problem were determined by the Entropy method. Moreover, WASPAS, EDAS, and Gray Relational Analysis were utilized separately to discover the best suitable alternative. Furthermore, the rankings generated by these several MCDM approaches were compared using Spearman Rank Correlation Analysis in the study, and they were found to be highly consistent. The study provides several key recommendations for academic research and industry practice moving forward.https://www.indecs.eu/2024/indecs2024-pp616-632.pdfintercity passenger transportentropy methodedas methodwaspas methodgrey relational analysis method |
| spellingShingle | Hakan Murat Arslan İsmail Durak Ece Yavuzyilmaz Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach Interdisciplinary Description of Complex Systems intercity passenger transport entropy method edas method waspas method grey relational analysis method |
| title | Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach |
| title_full | Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach |
| title_fullStr | Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach |
| title_full_unstemmed | Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach |
| title_short | Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach |
| title_sort | determining the most suitable bus model for the urban transportation sector a hybrid multi criteria decision making approach |
| topic | intercity passenger transport entropy method edas method waspas method grey relational analysis method |
| url | https://www.indecs.eu/2024/indecs2024-pp616-632.pdf |
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