This study aims to perform a comprehensive bibliometric analysis of "public transportation," "service quality," and "government intervention" research. To reach our goal, we used the PRISMA protocol and VOSviewer to find the relevant documents in the Scopus database between 2013 and March 2024. A total of 660 documents were analyzed. The results showed an increasing trend in publications over the years—China was the top country in terms of publication outcome. The analysis identified the most productive institutions, such as the "Ministry of Education of the People's Republic of China" and the "Budapest University of Technology and Economics". The analysis also identified the most productive author, such as Duleba, S. The study also identified the most cited document, "Integrating shared autonomous vehicles in the public transportation system: A supply-side simulation of the first-mile service in Singapore". "Sustainability Switzerland" is the most productive journal in the list. The paper identified the most frequent keywords, such as "public transportation/public transport/public transportation system" is the most frequent keyword with 249 occurrences. This bibliometric analysis provides insights into the current state of research in the relevant field. It also provides insights into the direction of future research in this field.
Ahmed, H. A., NorZafir, M. S., Lina, P., & Shaymah Ahmed, A.-Z. (2023a). Exploring the Tourism, Neuro-tourism, and Hospitality Nexus: A Comprehensive Bibliometric Analysis. Journal of Tourism and Services, 27(14).
https://doi.org/10.29036/jots.v14i27.606
Ahmed, H. A., NorZafir, M. S., Mazilah, A., Ahmad, K., & Azmirul, A. (2023b). Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda. SAGE Open, 13(1), 1-23. https://doi.org/10.1177/21582440231156563
Ahmed, H. A., NorZafir, M. S., Rohaizat, B., & Alharthi, R. H. E. (2021). Neuromarketing research in the last five years: a bibliometric analysis. Cogent business & management, 8(1), 1-26. https://doi.org/10.1080/23311975.2021.1978620
Ahmed, H. A., NorZafir, M. S., Shaymah Ahmed, A.-Z., & Ahmad, K. (2022). Consumer Behaviour to Be Considered in Advertising: A Systematic Analysis and Future Agenda. Behavioral Sciences, 12(12), 472-493. https://doi.org/10.3390/bs12120472
Alsharif, A. H., Salleh, N. Z. M., Alrawad, M., & Lutfi, A. (2023). Exploring global trends and future directions in advertising research: A focus on consumer behavior. Current Psychology, 1-24. https://doi.org/10.1007/s12144-023-04812-w
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., Alharthi, H. E. R., Mansor, A. A., Javed, A., & Abbas, A. F. (2021). Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes. Sustainability, 13(11), 6488-6493. https://doi.org/10.3390/su13116488
Alsharif, A. H., Salleh, N. Z. M., Wan Amira, b. W. A., & Khraiwish, A. (2022). Biomedical Technology in Studying Consumers’ Subconscious Behavior. International Journal of Online and Biomedical Engineering, 18(8), 98-114.
https://doi.org/10.3991/ijoe.v18i08.31959
Augustyn, D. (2020). The influence of public transport acts in 2019 in Poland on conflicts concerning the shape of the public transport network. Logistics and Transport, 45(1), 59-70. https://doi.org/10.26411/83-1734-2015-1-45-5-20
Duan, T., Jiang, H., Deng, X., Zhang, Q., & Wang, F. (2020). Government intervention, risk perception, and the adoption of protective action recommendations: Evidence from the COVID-19 prevention and control experience of China. International Journal of Environmental Research and Public Health, 17(10), 3387-3404. https://doi.org/10.3390/ijerph17103387
Fan, A., & Chen, X. (2020). Exploring the relationship between transport interventions, mode choice, and travel perception: an empirical study in Beijing, China. International Journal of Environmental Research and Public Health, 17(12), 4258. https://doi.org/10.3390/ijerph17124258
Halsharif, A., & Pilelien?, L. (2023). A Bibliometric Analysis of Human Hormones in Consumer Neuroscience and Human Behavior Research: Trends and Insights with Implications for Marketing. Baltic Journal of Economic Studies, 9(5), 1-12. https://doi.org/10.30525/2256-0742/2023-9-5-1-12
Halsharif, A., Salleh, N., Md, & Baharun, R. (2020). Research trends of neuromarketing: A bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
Halsharif, A., Salleh, N. Z. M., Baharun, R., Abuhassna, H., & Alharthi, R. H. E. (2022). A global research trends of neuromarketing: 2015-2020. Revista de Comunicación, 21(1), 15-32. https://doi.org/10.26441/rc21.1-2022-a1
Halsharif, A., Salleh, N. Z. M., Khraiwish, A., & Lama, N. H. (2023a). Exploring the Path of Biomedical Technology in Consumer Neuroscience Research: A Comprehensive Bibliometric Analysis. International Journal of Online and Biomedical Engineering, 19(16), 127-144. https://doi.org/10.3991/ijoe.v19i16.44667
Halsharif, A., Salleh, N. Z. M., & Pilelien?, L. (2023b). A Comprehensive Bibliometric Analysis of fNIRS and fMRI Technology in Neuromarketing. Scientific Annals of Economics and Business, 70(3), 1-14. https://doi.org/10.47743/saeb-2023-0031
Hou, D., Liu, C., & Li, Y. (2022). Internet Public Opinion Diffusion: A Cross Perspective of Multilayer Network and Multisubject Association. Mathematical Problems in Engineering, 2022(1), 1-17. https://doi.org/10.1155/2022/6087476
Ibrahim, N. H., Mohammed-Amin, R. K., & Ali, A. F. (2020). Measuring Service Quality of Bus Services in Sulaimani City. Kurdistan Journal of Applied Research, 5(1), 270-286. https://doi.org/10.24017/science.2020.1.19
Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., Massaro, J. M., D’Agostino, R. B., & White, M. (2020). Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries. bmj, 370, 1-10. https://doi.org/10.1136/bmj.m2743
Li, Y., & Deng, H. (2016). Exploring central government assistance for urban public transport: a mobility-based social exclusion perspective. Transportation Research Record, 2581(1), 164-173. https://doi.org/10.3141/2581-19
Luo, S., & He, S. Y. (2021). Using data mining to explore the spatial and temporal dynamics of perceptions of metro services in China: the case of Shenzhen. Environment and Planning B: Urban Analytics and City Science, 48(3), 449-466.
https://doi.org/10.1177/2399808320974693
Morton, C., Caulfield, B., & Anable, J. (2016). Customer perceptions of quality of service in public transport: Evidence for bus transit in Scotland. Case Studies on Transport Policy, 4(3), 199-207.
Obsie, A., Woldeamanuel, M., & Woldetensae, B. (2020). Service quality of addis ababa light rail transit: Passengers’ views and perspectives. Urban Rail Transit, 6(4), 231-243. https://doi.org/10.1007/s40864-020-00135-2
Park, J., & Kim, G. (2021). Risk of COVID-19 infection in public transportation: The development of a model. International Journal of Environmental Research and Public Health, 18(23), 12790. https://doi.org/10.3390/ijerph182312790
Patil, D. S., Bailey, A., Yadav, U. N., George, S., Helbich, M., Ettema, D., & Ashok, L. (2022). Contextual factors influencing the urban mobility infrastructure interventions and policies for older adults in low-and middle-income countries: a realist review. BMC public health, 22(1), 1489. https://doi.org/10.1186/s12889-022-13875-6
Peng, C. Y., Yee, T. P., & Yoong, H. M. (2019). A Study on Factors Influences Behaviour Intention towards Passenger Rail Transportation. E3S Web of Conferences,
Pilelien?, L., Alsharif, A. H., & Alharbi, I. B. (2022). Scientometric analysis of scientific literature on neuromarketing tools in advertising. Baltic Journal of Economic Studies, 8(5), 1-12. https://doi.org/10.30525/2256-0742/2022-8-5-1-12
Prabowo, F. H. E., Rachmawulan, D. L., & Taufik, N. (2019). Decreasing satisfaction of urban transport passangers. E-Mabis: Jurnal Ekonomi Manajemen dan Bisnis, 20(2), 141-148. https://doi.org/10.29103/e-mabis.v20i2.362
Rabie, B., & Burger, A. (2019). Benefits of transport subsidisation: Comparing findings from a customer perception survey and Most Significant Change Technique interviews. African Evaluation Journal, 7(1), 1-7. https://doi.org/10.4102/aej.v7i1.371
Thomas, N., Jana, A., & Bandyopadhyay, S. (2022). Physical distancing on public transport in Mumbai, India: Policy and planning implications for unlock and post-pandemic period. Transport Policy, 116(1), 217-236. https://doi.org/10.1016/j.tranpol.2021.12.001
Xu, Q., Guo, J., Gao, J., & Cheng, X. (2023). Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network. E3S Web of Conferences,
Yobo, E. (2018). State intervention in public transportation in Ghana. Journal of Transportation and Logistics, 3(1), 35-51. https://doi.org/10.26650/jtl.2018.03.01.04
Zhunussova, A., & Dulambayeva, R. (2019). The state policy of service sector development in the Republic of Kazakhstan. Journal of Eastern European & Central Asian Research, 6(1), 56-66. https://doi.org/10.15549/jeecar.v6i1.255
Zou, W. (2022). Temporal-Spatial Characteristics and Driving Factors of Urban Land Use Performance: Evidence from Guangdong. Polish Journal of Environmental Studies, 31(4), 3477-3490. https://doi.org/10.15244/pjoes/146462
