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Ulaştırma Sektöründe COVID-19 ile İlgili Makalelerin Bibliyometrik Analizi: Bir Erken Dönem Çalışması

Yıl 2024, Cilt: 7 Sayı: 2, 102 - 119, 31.10.2024
https://doi.org/10.38002/tuad.1406426

Öz

Kasım 2019'da Çin'in Wuhan kentinde ortaya çıkan ve tüm dünyayı etkisi altına alan COVID-19 pandemisi tüm sektörleri olduğu gibi ulaştırma sektörünü de derinden etkilemiştir. Etkilerin büyüklüğü akademik yayın sayılarına da yansımış, onlarca yılda oluşacak yayın havuzu sadece 3 yılda ortaya çıkmıştır. Bu çalışmada, oluşan devasa yayın havuzunun ulaştırma sektörü bağlamında bibliyometrik bir analizinin yapılması amaçlanmıştır. Bu çalışmada performans analizi ve işbirliği analizinden oluşan nicel bir bibliyometrik analiz gerçekleştirilmiştir. Verileri elde etmek için Scopus veri tabanı kullanılmıştır. Verileri sınırlandırmak için yalnızca "makaleler, makalelerin son versiyonları ve yalnızca İngilizce yayınlanan makaleler" filtreleri kullanılmıştır. Zaman sınırı olarak 2019-2022 yılları seçilmiştir. Scopus veri tabanında yapılan arama sonucunda toplam 951 makaleye ulaşılmıştır. Veri analizi için R istatistik programı, görselleştirmeler için Biblioshiny kullanılmıştır. Analizler hem tüm ulaşım modları bağlamında hem de her bir ulaşım modu için ayrı ayrı gerçekleştirilmiştir. Sonuçlar, 951 makalede toplam 2605 yazarın çalıştığını, 155 makalenin tek yazarlı, 796 makalenin ise çok yazarlı olduğunu göstermektedir. Analiz sonuçları, en üretken ülkelerin ABD ve Çin olduğunu, en çok kullanılan anahtar kelimenin "COVID-19" olduğunu, en çok atıf alan ülkenin Norveç olduğunu, ülke yayın iş birlikleri bağlamında en çok işbirliği yapılan ülkelerin İngiltere ve Hong Kong olduğunu, en düşük işbirliği oranının ise Türkiye ve Güney Afrika'ya ait olduğunu ortaya koymuştur. Öte yandan, ulaştırma modlarına yönelik COVID-19 konusunda en fazla akademik çalışmaya sahip yazarın HAN H. olduğu tespit edilmiştir. Bu çalışmada performans analizleri ve işbirliği analizleri kapsamında ortaya çıkan en önemli sonuç, ülkenin gelişmişlik düzeyi ve eğitime verilen önemin ülke verimliliğinde önemli değişkenler olduğudur. Gelişmişlik düzeyi ve eğitime verilen önem arttıkça akademik çalışma sayısı da artmaktadır. Öte yandan çalışmada ortaya çıkan bir diğer önemli sonuç ise erken dönem COVID-19 çalışmalarının daha fazla atıf aldığı ve atıf ağlarında merkezi konumlarda yer aldığıdır. Ayrıca yöntem çalışmalarına da daha fazla atıf yapıldığından bahsedilebilir.

Etik Beyan

Bu çalışmada kullanılan yöntem nedeniyle etik kurul onayı gerekmemektedir.

Kaynakça

  • Abbas, J., Mubeen, R., Iorember, P. T., Raza, S., & Mamirkulova, G. (2021). Exploring the impact of COVID-19 on tourism: transformational potential and implications for a sustainable recovery of the travel and leisure industry. Current Research in Behavioral Sciences, 2, 100033. https://doi.org/10.1016/j.crbeha.2021.100033
  • Ahmad, T., Murad, M. A., Baig, M., & Hui, J. (2021). Research trends in COVID-19 vaccine: a bibliometric analysis. Human Vaccines & Immunotherapeutics, 17(8), 2367-2372. https://doi.org/10.1080/21645515.2021.1886806
  • Al, U., & Soydal, İ. (2012). Dergi kendine atıfının etkisi: Energy Education Science and Technology örneği. Türk Kütüphaneciliği, 26(4), 699-714.
  • Aristovnik, A., Ravšelj, D., & Umek, L. (2020). A bibliometric analysis of COVID-19 across science and social science research landscape. Sustainability, 12(21), 9132. https://doi.org/10.3390/su12219132
  • Ashraf, B. N. (2021). Stock markets’ reaction to COVID-19: Moderating role of national culture. Finance Research Letters, 41, 101857. https://doi.org/10.1016/j.frl.2020.101857
  • Benita, F. (2021). Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis. Sustainable Cities and Society, 70, 102916. https://doi.org/10.1016/j.scs.2021.102916
  • Bhuiyan, A. R., Mia, A., Sarker, A., & Khan, A. (2022). Effect of transportation infrastructure on forest plant diversity and soil properties in Lawachara National Park, Bangladesh. Acta Ecologica Sinica, 42(1), 110-120. https://doi.org/10.1016/j.chnaes.2021.08.015
  • Cao, J., Li, S., Noland, R. B., & Ge, Y.-E. (2021). The first 25 years of transportation research part D: transport and environment. Transportation Research Part D: Transport and Environment, 100, 103078. https://doi.org/10.1016/j.trd.2021.103078
  • Chen, X., & Liu, Y. (2020). Visualization analysis of high-speed railway research based on CiteSpace. Transport Policy, 85, 1-17. https://doi.org/10.1016/j.tranpol.2019.10.004
  • Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C. (2021). COVID-19, consumer behavior, technology, and society : A literature review and bibliometric analysis. Technological Forecasting and Social Change, 173, 121179. https://doi.org/10.1016/j.techfore.2021.121179
  • De Felice, F., & Polimeni, A. (2020). Coronavirus disease (COVID-19): a machine learning bibliometric analysis. In vivo, 34, 1613-1617. https://doi.org/10.21873/invivo.11951
  • Dixit, A., & Jakhar, S. K. (2021). Airport capacity management: A review and bibliometric analysis. Journal of Air Transport Management, 91, 102010. https://doi.org/10.1016/j.jairtraman.2020.102010
  • Du, Q., Li, J., Li, Y., Huang, N., Zhou, J., & Li, Z. (2020). Carbon inequality in the transportation industry: empirical evidence from China. Environmental Science and Pollution Research, 27(6), 6300-6311. https://doi.org/10.1007/s11356-019-07291-4
  • ElHawary, H., Salimi, A., Diab, N., & Smith, L. (2020). Bibliometric analysis of early COVID-19 research: the top 50 cited papers. Infectious Diseases: Research and Treatment, 13, 1178633720962935.https://doi.org/10.1177/1178633720962935
  • Elihami, E. (2021). Bibliometric analysis of islamic education learning loss in the COVID-19 pandemic. Linguistics and Culture Review, 5(S1), 851-859. https://doi.org/10.21744/lingcure.v5nS1.1469
  • Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. The FASEB Journal, 22(2), 338-342. https://doi.org/10.1096/fj.07-9492LSF
  • Falcão, V. A., da Silva, F. G. F., de Oliveira, F. H. L., Negri, N. A. R., de Andrade, M. O., Brasileiro, A., Eller, R. D. G., Macário, R. (2021). Scientific investigations in air transport about Brazil: A bibliometric review. Case Studies on Transport Policy, 9(4), 1912-1921. https://doi.org/10.1016/j.cstp.2021.10.012
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
  • Fusco, F., Marsilio, M., & Guglielmetti, C. (2020). Co-production in health policy and management: a comprehensive bibliometric review. BMC Health Services Research, 20(1), 1-16. https://doi.org/10.1186/s12913-020-05241-2
  • Glänzel, W., Schubert, A., & Czerwon, H.-J. (1999). A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 45(2), 185-202. https://doi.org/10.1007/bf02458432
  • Glazener, A., Sanchez, K., Ramani, T., Zietsman, J., Nieuwenhuijsen, M. J., Mindell, J. S., Fox, M., Khreis, H. (2021). Fourteen pathways between urban transportation and health: A conceptual model and literature review. Journal of Transport & Health, 21, 101070. https://doi.org/10.1016/j.jth.2021.101070
  • Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1-20. https://doi.org/10.1080/09669582.2020.1758708
  • Gray, R. S. (2020). Agriculture, transportation, and the COVID‐19 crisis. Canadian Journal of Agricultural Economics/Revue Canadienne d'Agroeconomie, 68(2), 239-243. https://doi.org/10.1111/cjag.12235
  • Güzel, T. D., & Alp, K. (2020). Modeling of greenhouse gas emissions from the transportation sector in Istanbul by 2050. Atmospheric Pollution Research, 11(12), 2190-2201. https://doi.org/10.1016/j.apr.2020.08.034
  • Hu, S., & Zhang, Y. (2021). COVID-19 pandemic and firm performance: Cross-country evidence. International Review of Economics & Finance, 74, 365-372. https://doi.org/10.1016/j.iref.2021.03.016
  • International Transport Forum. (2021). Key Transport Statistics 2020 Data. Retrieved from https://www.itf-oecd.org/sites/default/files/docs/key-transport-statistics-2021.pdf
  • Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922
  • Jiang, C., Bhat, C. R., & Lam, W. H. (2020). A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019). Transportation Research Part B: Methodological, 138, 268-291. https://doi.org/10.1016/j.trb.2020.05.016
  • Jou, R.-C., & Chen, K.-H. (2020). The relationship between high-speed rail and tourism. Sustainability, 12(12), 5103. https://doi.org/10.3390/su12125103
  • Khakimova, A. K., Zolotarev, O., & Berberova, M. (2020). Coronavirus infection study: bibliometric analysis of publications on COVID-19 using PubMed and Dimensions databases. Scientific Visualization, 12(5),112-129. https://doi.org/10.26583/sv.12.5.10
  • Khan, K. I., Nasir, A., & Saleem, S. (2021). Bibliometric analysis of post covid-19 management strategies and policies in hospitality and tourism. Frontiers in Psychology, 12, 1-14. https://doi.org/10.3389/fpsyg.2021.769760
  • Kim, K. (2021). Impacts of COVID-19 on transportation: Summary and synthesis of interdisciplinary research. Transportation Research Interdisciplinary Perspectives, 9, 100305. https://doi.org/10.1016/j.trip.2021.100305
  • Kutela, B., Novat, N., & Langa, N. (2021). Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach. Sustainable Cities and Society, 67, 102729. https://doi.org/10.1016/j.scs.2021.102729
  • Loske, D. (2020). The impact of COVID-19 on transport volume and freight capacity dynamics: An empirical analysis in German food retail logistics. Transportation Research Interdisciplinary Perspectives, 6, 100165. https://doi.org/10.1016/j.trip.2020.100165
  • Mack, E. A., Agrawal, S., & Wang, S. (2021). The impacts of the COVID-19 pandemic on transportation employment: A comparative analysis. Transportation research interdisciplinary perspectives, 12, 100470. https://doi.org/10.1016/j.trip.2021.100470
  • Maneenop, S., & Kotcharin, S. (2020). The impacts of COVID-19 on the global airline industry: An event study approach. Journal of Air Transport Management, 89, 101920. https://doi.org/10.1016/j.jairtraman.2020.101920
  • Mao, X., Guo, L., Fu, P., & Xiang, C. (2020). The status and trends of coronavirus research: A global bibliometric and visualized analysis. Medicine, 99(22), e20137. https://doi.org/10.1097/MD.0000000000020137
  • Meyer, M. D., & Elrahman, O. (2019). Transportation and public health: An Integrated Approach to policy, Planning, and Implementation. Elsevier, Oxford, United States
  • Meyer, T. (2020). Decarbonizing road freight transportation–A bibliometric and network analysis. Transportation Research Part D: Transport and Environment, 89, 102619. https://doi.org/10.1016/j.trd.2020.102619
  • Miravet, D., Domènech, A., & Gutiérrez, A. (2021). What prompts tourists to become public transportation users at their destination? The case of a Mediterranean city. Travel Behaviour and Society, 24, 10-21. https://doi.org/10.1016/j.tbs.2021.01.007
  • Oh, J., & Kim, A. (2020). A bibliometric analysis of COVID-19 research published in nursing journals. Science Editing, 7(2), 118-124. https://doi.org/10.6087/kcse.205
  • Pantoleontos, G., Tsongidis, N. I., Daskalos, E., & Konstandopoulos, A. G. (2021). Development of transportation cost functions and optimization of transportation networks for solar-aided utilization of CO2. International Journal of Greenhouse Gas Control, 112, 103528. https://doi.org/10.1016/j.ijggc.2021.103528
  • Peng, B., Erdoğan, S., Nasri, A. A., & Zou, Z. (2021). Towards a health-conscious transportation planning: A framework for estimating health impacts of active transportation at local level. Journal of Transport & Health, 22, 101231. https://doi.org/10.1016/j.jth.2021.101231
  • Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349.
  • Reuters. (2021). Acute phase of pandemic could end in 2022-WHO. https://www.reuters.com/business/healthcare-pharmaceuticals/acute-phase-pandemic-could-end-2022-who-2021-12-29/
  • Rouhanizadeh, B., & Kermanshachi, S. (2020). Post-disaster reconstruction of transportation infrastructures: Lessons learned. Sustainable Cities and Society, 63, 102505. https://doi.org/10.1016/j.scs.2020.102505
  • Roy, S. (2020). Economic impact of COVID-19 pandemic. A preprint, 1-29.
  • Rusydiana, A. S. (2021). Bibliometric analysis of journals, authors, and topics related to COVID-19 and Islamic finance listed in the Dimensions database by Biblioshiny. Science Editing, 8(1), 72-78. https://doi.org/10.6087/kcse.232
  • Shi, Y., Blainey, S., Sun, C., & Jing, P. (2020). A literature review on accessibility using bibliometric analysis techniques. Journal of Transport Geography, 87, 102810. https://doi.org/10.1016/j.jtrangeo.2020.102810
  • Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113-5142. https://doi.org/10.1007/s11192-021-03948-5
  • Škare, M., Soriano, D. R., & Porada-Rochoń, M. (2021). Impact of COVID-19 on the travel and tourism industry. Technological Forecasting and Social Change, 163, 120469. https://doi.org/10.1016/j.techfore.2020.120469
  • Sobieralski, J. B. (2020). COVID-19 and airline employment: Insights from historical uncertainty shocks to the industry. Transportation Research Interdisciplinary Perspectives, 5, 100123. https://doi.org/10.1016/j.trip.2020.100123
  • Sohail, M. T., Ullah, S., Majeed, M. T., & Usman, A. (2021). Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis. Environmental Science and Pollution Research, 28(23), 29046-29055. https://doi.org/10.1007/s11356-021-12654-x
  • Sun, X., Wandelt, S., & Zhang, A. (2020). How did COVID-19 impact air transportation? A first peek through the lens of complex networks. Journal of Air Transport Management, 89, 101928.https://doi.org/10.1016/j.jairtraman.2020.101928
  • Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. https://doi.org/10.1016/j.jairtraman.2021.102062
  • Tanrıverdi, G., Bakır, M., & Merkert, R. (2020). What can we learn from the JATM literature for the future of aviation post Covid-19?-A bibliometric and visualization analysis. Journal of Air Transport Management, 89, 101916. https://doi.org/10.1016/j.jairtraman.2020.101916
  • Teodorescu, D., & Andrei, T. (2011). The growth of international collaboration in East European scholarly communities: A bibliometric analysis of journal articles published between 1989 and 2009. Scientometrics, 89(2), 711-722. https://doi.org/10.1007/s11192-011-0466-y
  • Tonn, G., Reilly, A., Czajkowski, J., Ghaedi, H., & Kunreuther, H. (2021). US transportation infrastructure resilience: Influences of insurance, incentives, and public assistance. Transport Policy, 100, 108-119. https://doi.org/10.1016/j.tranpol.2020.10.011
  • Tran, N. H., Yang, S.-H., & Huang, T. (2021). Comparative analysis of traffic-and-transportation-planning-related indicators in sustainable transportation infrastructure rating systems. International Journal of Sustainable transportation, 15(3), 203-216. https://doi.org/10.1080/15568318.2020.1722868
  • United Nations. (2020). Education index. https://hdr.undp.org/en/indicators/103706
  • Wachyuni, S. S., & Kusumaningrum, D. A. (2020). The effect of COVID-19 pandemic: How are the future tourist behavior? Journal of Education, Society and Behavioural Science, 33(4), 67-76. https://doi.org/10.9734/JESBS/2020/v33i430219
  • Wang, Y., Lai, N., Zuo, J., Chen, G., & Du, H. (2016). Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015. Renewable and Sustainable Energy Reviews, 66, 95-104. https://doi.org/10.1016/j.rser.2016.07.006
  • Wei, R., & Liu, C. (2020). Research on carbon emission reduction in road freight transportation sector based on regulation-compliant route optimization model and case study. Sustainable Computing: Informatics and Systems, 28, 100408. https://doi.org/10.1016/j.suscom.2020.100408
  • World Health Organization. (2021). Coronavirus disease (COVID-19). https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19.
  • Yang, K.-L., Jin, X.-Y., Gao, Y., Xie, J., Liu, M., Zhang, J. H., & Tian, J. H. (2020). Bibliometric analysis of researches on traditional Chinese medicine for coronavirus disease 2019 (COVID-19). Integrative Medicine Research, 9(3), 100490.https://doi.org/10.1016/j.imr.2020.100490
  • Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., Yang, L., Cheng, Z., Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13),816. https://doi.org/10.21037/atm-20-4235
  • Zhao, X., Ke, Y., Zuo, J., Xiong, W., & Wu, P. (2020). Evaluation of sustainable transport research in 2000–2019. Journal of Cleaner Production, 256, 120404. https://doi.org/10.1016/j.jclepro.2020.120404
  • Zou, X., Vu, H. L., & Huang, H. (2020). Fifty years of accident analysis & prevention: A bibliometric and scientometric overview. Accident Analysis & Prevention, 144, 105568. https://doi.org/10.1016/j.aap.2020.105568
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629

Bibliometric Analysis of Articles on COVID-19 in the Transportation Industry: An Early Study

Yıl 2024, Cilt: 7 Sayı: 2, 102 - 119, 31.10.2024
https://doi.org/10.38002/tuad.1406426

Öz

The COVID-19 pandemic, which emerged in Wuhan, China in November 2019 and affected the whole world, deeply affected the transportation industry as well as all sectors. The magnitude of the effects is also reflected in the number of academic publications, and the publication pool that would occur in decades has emerged in only 3 years. In this study, a quantitative bibliometric analysis, consisting of performance and collaboration analyses, was conducted to examine the vast publication pool in the context of the transportation sector. "Articles, final versions of articles and articles published in English only" filters were used to limit data. As the time limit, the years 2019-2022 were chosen. As a result of the search made in the Scopus database, a total of 951 articles were reached. R statistical program was used for data analysis and Biblioshiny was used for visualizations. Analyzes were carried out both in the context of all transport modes and separately for each transport mode. The results show that a total of 2605 authors were employed in 951 articles, 155 articles were single-authored, and 796 articles were multi-authored. Results of the analysis have revealed that the most productive countries are the USA and China, the most used keyword is “COVID-19”, the most cited country is Norway, the countries with the most publication cooperation in the context of country collaborations are UK and Hong Kong, the lowest cooperation rate belongs to Türkiye and South Africa. On the other hand, it has been determined that the author with the most academic studies on COVID-19 for transport modes is HAN H. In this study, the most important result revealed within the scope of performance analyzes and cooperation analyzes is that development level of the country and the importance given to education are important variables in country productivity. As the level of development and the importance given to education increase, the number of academic studies also increases. On the other hand, another important result revealed in the study is that early COVID-19 studies receive more citations and occupy central positions in citation networks. In addition, it can be mentioned that method studies are also cited more.

Kaynakça

  • Abbas, J., Mubeen, R., Iorember, P. T., Raza, S., & Mamirkulova, G. (2021). Exploring the impact of COVID-19 on tourism: transformational potential and implications for a sustainable recovery of the travel and leisure industry. Current Research in Behavioral Sciences, 2, 100033. https://doi.org/10.1016/j.crbeha.2021.100033
  • Ahmad, T., Murad, M. A., Baig, M., & Hui, J. (2021). Research trends in COVID-19 vaccine: a bibliometric analysis. Human Vaccines & Immunotherapeutics, 17(8), 2367-2372. https://doi.org/10.1080/21645515.2021.1886806
  • Al, U., & Soydal, İ. (2012). Dergi kendine atıfının etkisi: Energy Education Science and Technology örneği. Türk Kütüphaneciliği, 26(4), 699-714.
  • Aristovnik, A., Ravšelj, D., & Umek, L. (2020). A bibliometric analysis of COVID-19 across science and social science research landscape. Sustainability, 12(21), 9132. https://doi.org/10.3390/su12219132
  • Ashraf, B. N. (2021). Stock markets’ reaction to COVID-19: Moderating role of national culture. Finance Research Letters, 41, 101857. https://doi.org/10.1016/j.frl.2020.101857
  • Benita, F. (2021). Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis. Sustainable Cities and Society, 70, 102916. https://doi.org/10.1016/j.scs.2021.102916
  • Bhuiyan, A. R., Mia, A., Sarker, A., & Khan, A. (2022). Effect of transportation infrastructure on forest plant diversity and soil properties in Lawachara National Park, Bangladesh. Acta Ecologica Sinica, 42(1), 110-120. https://doi.org/10.1016/j.chnaes.2021.08.015
  • Cao, J., Li, S., Noland, R. B., & Ge, Y.-E. (2021). The first 25 years of transportation research part D: transport and environment. Transportation Research Part D: Transport and Environment, 100, 103078. https://doi.org/10.1016/j.trd.2021.103078
  • Chen, X., & Liu, Y. (2020). Visualization analysis of high-speed railway research based on CiteSpace. Transport Policy, 85, 1-17. https://doi.org/10.1016/j.tranpol.2019.10.004
  • Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C. (2021). COVID-19, consumer behavior, technology, and society : A literature review and bibliometric analysis. Technological Forecasting and Social Change, 173, 121179. https://doi.org/10.1016/j.techfore.2021.121179
  • De Felice, F., & Polimeni, A. (2020). Coronavirus disease (COVID-19): a machine learning bibliometric analysis. In vivo, 34, 1613-1617. https://doi.org/10.21873/invivo.11951
  • Dixit, A., & Jakhar, S. K. (2021). Airport capacity management: A review and bibliometric analysis. Journal of Air Transport Management, 91, 102010. https://doi.org/10.1016/j.jairtraman.2020.102010
  • Du, Q., Li, J., Li, Y., Huang, N., Zhou, J., & Li, Z. (2020). Carbon inequality in the transportation industry: empirical evidence from China. Environmental Science and Pollution Research, 27(6), 6300-6311. https://doi.org/10.1007/s11356-019-07291-4
  • ElHawary, H., Salimi, A., Diab, N., & Smith, L. (2020). Bibliometric analysis of early COVID-19 research: the top 50 cited papers. Infectious Diseases: Research and Treatment, 13, 1178633720962935.https://doi.org/10.1177/1178633720962935
  • Elihami, E. (2021). Bibliometric analysis of islamic education learning loss in the COVID-19 pandemic. Linguistics and Culture Review, 5(S1), 851-859. https://doi.org/10.21744/lingcure.v5nS1.1469
  • Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. The FASEB Journal, 22(2), 338-342. https://doi.org/10.1096/fj.07-9492LSF
  • Falcão, V. A., da Silva, F. G. F., de Oliveira, F. H. L., Negri, N. A. R., de Andrade, M. O., Brasileiro, A., Eller, R. D. G., Macário, R. (2021). Scientific investigations in air transport about Brazil: A bibliometric review. Case Studies on Transport Policy, 9(4), 1912-1921. https://doi.org/10.1016/j.cstp.2021.10.012
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
  • Fusco, F., Marsilio, M., & Guglielmetti, C. (2020). Co-production in health policy and management: a comprehensive bibliometric review. BMC Health Services Research, 20(1), 1-16. https://doi.org/10.1186/s12913-020-05241-2
  • Glänzel, W., Schubert, A., & Czerwon, H.-J. (1999). A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 45(2), 185-202. https://doi.org/10.1007/bf02458432
  • Glazener, A., Sanchez, K., Ramani, T., Zietsman, J., Nieuwenhuijsen, M. J., Mindell, J. S., Fox, M., Khreis, H. (2021). Fourteen pathways between urban transportation and health: A conceptual model and literature review. Journal of Transport & Health, 21, 101070. https://doi.org/10.1016/j.jth.2021.101070
  • Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1-20. https://doi.org/10.1080/09669582.2020.1758708
  • Gray, R. S. (2020). Agriculture, transportation, and the COVID‐19 crisis. Canadian Journal of Agricultural Economics/Revue Canadienne d'Agroeconomie, 68(2), 239-243. https://doi.org/10.1111/cjag.12235
  • Güzel, T. D., & Alp, K. (2020). Modeling of greenhouse gas emissions from the transportation sector in Istanbul by 2050. Atmospheric Pollution Research, 11(12), 2190-2201. https://doi.org/10.1016/j.apr.2020.08.034
  • Hu, S., & Zhang, Y. (2021). COVID-19 pandemic and firm performance: Cross-country evidence. International Review of Economics & Finance, 74, 365-372. https://doi.org/10.1016/j.iref.2021.03.016
  • International Transport Forum. (2021). Key Transport Statistics 2020 Data. Retrieved from https://www.itf-oecd.org/sites/default/files/docs/key-transport-statistics-2021.pdf
  • Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922
  • Jiang, C., Bhat, C. R., & Lam, W. H. (2020). A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019). Transportation Research Part B: Methodological, 138, 268-291. https://doi.org/10.1016/j.trb.2020.05.016
  • Jou, R.-C., & Chen, K.-H. (2020). The relationship between high-speed rail and tourism. Sustainability, 12(12), 5103. https://doi.org/10.3390/su12125103
  • Khakimova, A. K., Zolotarev, O., & Berberova, M. (2020). Coronavirus infection study: bibliometric analysis of publications on COVID-19 using PubMed and Dimensions databases. Scientific Visualization, 12(5),112-129. https://doi.org/10.26583/sv.12.5.10
  • Khan, K. I., Nasir, A., & Saleem, S. (2021). Bibliometric analysis of post covid-19 management strategies and policies in hospitality and tourism. Frontiers in Psychology, 12, 1-14. https://doi.org/10.3389/fpsyg.2021.769760
  • Kim, K. (2021). Impacts of COVID-19 on transportation: Summary and synthesis of interdisciplinary research. Transportation Research Interdisciplinary Perspectives, 9, 100305. https://doi.org/10.1016/j.trip.2021.100305
  • Kutela, B., Novat, N., & Langa, N. (2021). Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach. Sustainable Cities and Society, 67, 102729. https://doi.org/10.1016/j.scs.2021.102729
  • Loske, D. (2020). The impact of COVID-19 on transport volume and freight capacity dynamics: An empirical analysis in German food retail logistics. Transportation Research Interdisciplinary Perspectives, 6, 100165. https://doi.org/10.1016/j.trip.2020.100165
  • Mack, E. A., Agrawal, S., & Wang, S. (2021). The impacts of the COVID-19 pandemic on transportation employment: A comparative analysis. Transportation research interdisciplinary perspectives, 12, 100470. https://doi.org/10.1016/j.trip.2021.100470
  • Maneenop, S., & Kotcharin, S. (2020). The impacts of COVID-19 on the global airline industry: An event study approach. Journal of Air Transport Management, 89, 101920. https://doi.org/10.1016/j.jairtraman.2020.101920
  • Mao, X., Guo, L., Fu, P., & Xiang, C. (2020). The status and trends of coronavirus research: A global bibliometric and visualized analysis. Medicine, 99(22), e20137. https://doi.org/10.1097/MD.0000000000020137
  • Meyer, M. D., & Elrahman, O. (2019). Transportation and public health: An Integrated Approach to policy, Planning, and Implementation. Elsevier, Oxford, United States
  • Meyer, T. (2020). Decarbonizing road freight transportation–A bibliometric and network analysis. Transportation Research Part D: Transport and Environment, 89, 102619. https://doi.org/10.1016/j.trd.2020.102619
  • Miravet, D., Domènech, A., & Gutiérrez, A. (2021). What prompts tourists to become public transportation users at their destination? The case of a Mediterranean city. Travel Behaviour and Society, 24, 10-21. https://doi.org/10.1016/j.tbs.2021.01.007
  • Oh, J., & Kim, A. (2020). A bibliometric analysis of COVID-19 research published in nursing journals. Science Editing, 7(2), 118-124. https://doi.org/10.6087/kcse.205
  • Pantoleontos, G., Tsongidis, N. I., Daskalos, E., & Konstandopoulos, A. G. (2021). Development of transportation cost functions and optimization of transportation networks for solar-aided utilization of CO2. International Journal of Greenhouse Gas Control, 112, 103528. https://doi.org/10.1016/j.ijggc.2021.103528
  • Peng, B., Erdoğan, S., Nasri, A. A., & Zou, Z. (2021). Towards a health-conscious transportation planning: A framework for estimating health impacts of active transportation at local level. Journal of Transport & Health, 22, 101231. https://doi.org/10.1016/j.jth.2021.101231
  • Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349.
  • Reuters. (2021). Acute phase of pandemic could end in 2022-WHO. https://www.reuters.com/business/healthcare-pharmaceuticals/acute-phase-pandemic-could-end-2022-who-2021-12-29/
  • Rouhanizadeh, B., & Kermanshachi, S. (2020). Post-disaster reconstruction of transportation infrastructures: Lessons learned. Sustainable Cities and Society, 63, 102505. https://doi.org/10.1016/j.scs.2020.102505
  • Roy, S. (2020). Economic impact of COVID-19 pandemic. A preprint, 1-29.
  • Rusydiana, A. S. (2021). Bibliometric analysis of journals, authors, and topics related to COVID-19 and Islamic finance listed in the Dimensions database by Biblioshiny. Science Editing, 8(1), 72-78. https://doi.org/10.6087/kcse.232
  • Shi, Y., Blainey, S., Sun, C., & Jing, P. (2020). A literature review on accessibility using bibliometric analysis techniques. Journal of Transport Geography, 87, 102810. https://doi.org/10.1016/j.jtrangeo.2020.102810
  • Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113-5142. https://doi.org/10.1007/s11192-021-03948-5
  • Škare, M., Soriano, D. R., & Porada-Rochoń, M. (2021). Impact of COVID-19 on the travel and tourism industry. Technological Forecasting and Social Change, 163, 120469. https://doi.org/10.1016/j.techfore.2020.120469
  • Sobieralski, J. B. (2020). COVID-19 and airline employment: Insights from historical uncertainty shocks to the industry. Transportation Research Interdisciplinary Perspectives, 5, 100123. https://doi.org/10.1016/j.trip.2020.100123
  • Sohail, M. T., Ullah, S., Majeed, M. T., & Usman, A. (2021). Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis. Environmental Science and Pollution Research, 28(23), 29046-29055. https://doi.org/10.1007/s11356-021-12654-x
  • Sun, X., Wandelt, S., & Zhang, A. (2020). How did COVID-19 impact air transportation? A first peek through the lens of complex networks. Journal of Air Transport Management, 89, 101928.https://doi.org/10.1016/j.jairtraman.2020.101928
  • Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. https://doi.org/10.1016/j.jairtraman.2021.102062
  • Tanrıverdi, G., Bakır, M., & Merkert, R. (2020). What can we learn from the JATM literature for the future of aviation post Covid-19?-A bibliometric and visualization analysis. Journal of Air Transport Management, 89, 101916. https://doi.org/10.1016/j.jairtraman.2020.101916
  • Teodorescu, D., & Andrei, T. (2011). The growth of international collaboration in East European scholarly communities: A bibliometric analysis of journal articles published between 1989 and 2009. Scientometrics, 89(2), 711-722. https://doi.org/10.1007/s11192-011-0466-y
  • Tonn, G., Reilly, A., Czajkowski, J., Ghaedi, H., & Kunreuther, H. (2021). US transportation infrastructure resilience: Influences of insurance, incentives, and public assistance. Transport Policy, 100, 108-119. https://doi.org/10.1016/j.tranpol.2020.10.011
  • Tran, N. H., Yang, S.-H., & Huang, T. (2021). Comparative analysis of traffic-and-transportation-planning-related indicators in sustainable transportation infrastructure rating systems. International Journal of Sustainable transportation, 15(3), 203-216. https://doi.org/10.1080/15568318.2020.1722868
  • United Nations. (2020). Education index. https://hdr.undp.org/en/indicators/103706
  • Wachyuni, S. S., & Kusumaningrum, D. A. (2020). The effect of COVID-19 pandemic: How are the future tourist behavior? Journal of Education, Society and Behavioural Science, 33(4), 67-76. https://doi.org/10.9734/JESBS/2020/v33i430219
  • Wang, Y., Lai, N., Zuo, J., Chen, G., & Du, H. (2016). Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015. Renewable and Sustainable Energy Reviews, 66, 95-104. https://doi.org/10.1016/j.rser.2016.07.006
  • Wei, R., & Liu, C. (2020). Research on carbon emission reduction in road freight transportation sector based on regulation-compliant route optimization model and case study. Sustainable Computing: Informatics and Systems, 28, 100408. https://doi.org/10.1016/j.suscom.2020.100408
  • World Health Organization. (2021). Coronavirus disease (COVID-19). https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19.
  • Yang, K.-L., Jin, X.-Y., Gao, Y., Xie, J., Liu, M., Zhang, J. H., & Tian, J. H. (2020). Bibliometric analysis of researches on traditional Chinese medicine for coronavirus disease 2019 (COVID-19). Integrative Medicine Research, 9(3), 100490.https://doi.org/10.1016/j.imr.2020.100490
  • Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., Yang, L., Cheng, Z., Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13),816. https://doi.org/10.21037/atm-20-4235
  • Zhao, X., Ke, Y., Zuo, J., Xiong, W., & Wu, P. (2020). Evaluation of sustainable transport research in 2000–2019. Journal of Cleaner Production, 256, 120404. https://doi.org/10.1016/j.jclepro.2020.120404
  • Zou, X., Vu, H. L., & Huang, H. (2020). Fifty years of accident analysis & prevention: A bibliometric and scientometric overview. Accident Analysis & Prevention, 144, 105568. https://doi.org/10.1016/j.aap.2020.105568
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629
Toplam 69 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ulaşım Ekonomisi
Bölüm Araştırma Makalesi
Yazarlar

Harun Karakavuz 0000-0002-3989-5249

Nilüfer Canöz 0000-0003-3424-3919

Ahmet Ertek 0000-0002-8156-5075

Yayımlanma Tarihi 31 Ekim 2024
Gönderilme Tarihi 18 Aralık 2023
Kabul Tarihi 25 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 2

Kaynak Göster

APA Karakavuz, H., Canöz, N., & Ertek, A. (2024). Bibliometric Analysis of Articles on COVID-19 in the Transportation Industry: An Early Study. Trafik Ve Ulaşım Araştırmaları Dergisi, 7(2), 102-119. https://doi.org/10.38002/tuad.1406426