Bibliometric analysis of quality of service in public transportation: Current and future trends
Public transport is a fundamental aspect of urban life and its quality of service can significantly impact the daily life of passengers. Research on quality of service in public transport is vital to creating efficient and inclusive public transport systems. This study which is both timely and imper...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Scientific African |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227624000036 |
| _version_ | 1827329748718583808 |
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| author | Retsepile C Kalaoane Walter Musakwa Alain Kibangou Trynos Gumbo Innocent Musonda Abraham R Matamanda |
| author_facet | Retsepile C Kalaoane Walter Musakwa Alain Kibangou Trynos Gumbo Innocent Musonda Abraham R Matamanda |
| author_sort | Retsepile C Kalaoane |
| collection | DOAJ |
| description | Public transport is a fundamental aspect of urban life and its quality of service can significantly impact the daily life of passengers. Research on quality of service in public transport is vital to creating efficient and inclusive public transport systems. This study which is both timely and imperative, provides a systematic literature review and bibliometric analysis of quality of service in public transport with special focus on gender and machine learning. The study employed a systematic search in Web of Science using relevant keywords. Based on 270 published articles on the Web of Science, we evaluate the state of knowledge through keyword analysis, co-occurrences, and co-citations. It appears that key themes in quality of service in public transportation have shifted from efficiency to user satisfaction and perceptions. However, there is limited literature on public transport service quality in the global south, particularly in Africa, compared to the global north. In particular, the study revealed that the total publications focusing on gender in Africa is two. Moreover, much of the literature on the African continent emanates from authors and countries outside the continent. It often does not reflect the lived realities of the state of public transport in Africa. Similarly, emerging issues pertaining to machine learning and gender in public transport also require consideration. This paper paves the way for policy, practice, and further research. The review will be useful reference for evolutions of quality of service in public transport research. |
| first_indexed | 2024-03-07T15:46:35Z |
| format | Article |
| id | doaj.art-83662e8121ce416fad824ea1d2bb4cdc |
| institution | Directory Open Access Journal |
| issn | 2468-2276 |
| language | English |
| last_indexed | 2024-03-07T15:46:35Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Scientific African |
| spelling | doaj.art-83662e8121ce416fad824ea1d2bb4cdc2024-03-05T04:30:20ZengElsevierScientific African2468-22762024-03-0123e02059Bibliometric analysis of quality of service in public transportation: Current and future trendsRetsepile C Kalaoane0Walter Musakwa1Alain Kibangou2Trynos Gumbo3Innocent Musonda4Abraham R Matamanda5Department of Urban and Regional Planning, University of Johannesburg, Johannesburg, South Africa; Corresponding author.Department of Geography, Environmental Management and Energy Studies, Faculty of Science, Auckland Park Campus, University of Johannesburg, Johannesburg, South AfricaUniversity Grenoble Alpes, CNRS, Inria, Grenoble INP, Grenoble, Gipsa-Lab 38000, FranceDepartment of Urban and Regional Planning, University of Johannesburg, Johannesburg, South AfricaDepartment of Construction Management and Quantity Surveying, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South AfricaDepartment of Geography, University of the Free State, Bloemfontein, South AfricaPublic transport is a fundamental aspect of urban life and its quality of service can significantly impact the daily life of passengers. Research on quality of service in public transport is vital to creating efficient and inclusive public transport systems. This study which is both timely and imperative, provides a systematic literature review and bibliometric analysis of quality of service in public transport with special focus on gender and machine learning. The study employed a systematic search in Web of Science using relevant keywords. Based on 270 published articles on the Web of Science, we evaluate the state of knowledge through keyword analysis, co-occurrences, and co-citations. It appears that key themes in quality of service in public transportation have shifted from efficiency to user satisfaction and perceptions. However, there is limited literature on public transport service quality in the global south, particularly in Africa, compared to the global north. In particular, the study revealed that the total publications focusing on gender in Africa is two. Moreover, much of the literature on the African continent emanates from authors and countries outside the continent. It often does not reflect the lived realities of the state of public transport in Africa. Similarly, emerging issues pertaining to machine learning and gender in public transport also require consideration. This paper paves the way for policy, practice, and further research. The review will be useful reference for evolutions of quality of service in public transport research.http://www.sciencedirect.com/science/article/pii/S2468227624000036PrismaVosviewerQuality of servicePublic transportGenderMachine learning |
| spellingShingle | Retsepile C Kalaoane Walter Musakwa Alain Kibangou Trynos Gumbo Innocent Musonda Abraham R Matamanda Bibliometric analysis of quality of service in public transportation: Current and future trends Scientific African Prisma Vosviewer Quality of service Public transport Gender Machine learning |
| title | Bibliometric analysis of quality of service in public transportation: Current and future trends |
| title_full | Bibliometric analysis of quality of service in public transportation: Current and future trends |
| title_fullStr | Bibliometric analysis of quality of service in public transportation: Current and future trends |
| title_full_unstemmed | Bibliometric analysis of quality of service in public transportation: Current and future trends |
| title_short | Bibliometric analysis of quality of service in public transportation: Current and future trends |
| title_sort | bibliometric analysis of quality of service in public transportation current and future trends |
| topic | Prisma Vosviewer Quality of service Public transport Gender Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2468227624000036 |
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