An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports
By:
References
- Abdel-Maboud, F., Tawfik, A., Parusheva, S., Salem, M. (2022). Advances of Machine Learning in Electromyography (EMG) Signal Classification (2021). World Journal of Engineering Research and Technology, 8(2), 00001–65114. https://sdbindex.com/Entry/both/130341.
- Açik, A., Atacan, C. (2022). Estimating the ship traffic in the Istanbul Strait through economic growth of region countries. Business and Management Studies: An International Journal, 10(1), 99–119. DOI: 10.15295/bmij.v10i1.1940.
- Aleksandrova, Y. (2021). Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending. TEM Journal, 133–143. DOI: 10.18421/tem101-16.
- Aleksandrova, Y. (2021). Predictive Analytics Implementation in the Logistic Industry. Economics and Computer Science, 2, 6–22.
- Alizadeh, D., Alesheikh, A.A., Sharif, M. (2020). Prediction of vessels locations and maritime traffic using similarity measurement of trajectory. Annals of GIS 2020, 27(2), 151–162. DOI: 10.1080/19475683.2020.1840434.
- Anderson, D.R., Sweeney, D.J., Williams, T.A., Camm, J.D., Cochran, J.J., Cengage Learning. (2014). Statistics for Business and Economics. CENGAGE Learning.
- Balliauw, M., Kort, P.M., Zhang, A. (2019). Capacity investment decisions of two competing ports under uncertainty: A strategic real options approach. Transportation Research Part B: Methodological, 122, 249–264.
- Barczak, A. (2018). Models of time series with seasonal fluctuations in the forecasting of passenger traffic in air transport based on the study of Wrocław airport. Research Journal of the University of Gdańsk, 80, 17–25. DOI: 10.26881/etil.2018.80.02.
- Delchev, D., Lazarova, V. (2021). Big Data Analysis Architecture. Economic Alternatives, 2, 315–328. DOI: DOI: 10.37075/EA.2021.2.09.
- Dimitrakiev, D., Dachev, Y., Atanasova, K. (2017). The new sea routes on the world map. Nauchni trudove – Visshe voennomorsko uchilishte N. Y. Vaptsarov, 31, 41–48.
- Country level – gross weight of goods handled in all ports (2022). ec.europa.eu. Retrieved from https://ec.europa.eu/eurostat/databrowser/view/mar_mg_aa_cwh/default/%20table?lang=en (3.02.2023).
- Eick, S.G., Fienberg, S.E. (2002). Visual Scalability. Journal of Computational and Graphical Statistics, 11(1), 22–43. DOI: 10.1198/106186002317375604.
- Erl, T., Khattak, W., Buhler, P. (2016). Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series from Thomas Erl) (1st ed.). Pearson.
- Ibabe, A., Rayon, F., Martinez, J.L., Garcia-Vazquez, E. (2020). Environmental DNA from plastic and textile marine litter detects exotic and nuisance species nearby ports. PloS one, 15(6), e0228811.
- Luburić, R., Vučinić, M. (2021). The challenges and opportunities of human resource management in the post-pandemic era. Choveshki resursi i tehnologii & Technologies = HR & Technologies, 1, 26–37.
- Marušić, E., Šoda, J., Krčum, M. (2020). The Three-Parameter Classification Model of Seasonal Fluctuations in the Croatian Nautical Port System. Sustainability, 12(12), 5079. DOI: 10.3390/su12125079.
- Mileva, L. (2020). The Big Data Working Process in Digital Transformation Conditions (Origin, Features And Opportunities). Economic Science, education and the real economy: Development and interactions in the digital age (pp. 639–649). Varna: Publishing house Science and Economics Varna.
- Miryanov, R. (2016). Optimizing the Maritime Shipping Management (2021). Izvestiya Journal of University of Economics – Varna, 1, 62–79.
- Miryanov, R. (2017). Optimization of activities and processes in maritime transport enterprises. Varna: Prof. Tsani Kalyandzhiev Monograph Library.
- Morski transport (2022). Retrieved from https://www.nsi.bg/bg/content/1755/%D0%BC%D0%BE%D1%80%D1%81%D0%BA%D0%B8%D1%82%D1%80%D0%B0%D0%BD%D1%81%D0%BF%D0%BE%D1%80%D1%82.
- Nanda, S., Bagchi, J. (2021). Interdependence of ports and economic development of India.
- Pallant, J. (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS (7th ed.). Routledge. DOI: 10.4324/9781003117452.
- Paing, W.P., Prabnasak, J. (2019). Determinants of Port Performance – Case Study of Five Major Container Ports in Myanmar. IOP Conference Series: Materials Science and Engineering, IOP Publishing, 1 October. DOI: 10.1088/1757-899x/639/1/012004.
- Radan, F., Fatemi Ghomi, S.M.T., Mirzapour Al-e-hashem, S.M.J., Sammak Jalali, M. (2023). Maritime Inventory Routing Problem Considering Weather Conditions and Tide at Ports. Transportation Research Record, 2677(5), 934–950.
- Rusavska, V., Melikh, T., Melikh, O., Chala, T., Babushko, S., Halytska, M. (2019). Estimation of the Influence of the Seasonality Factor in the Strategic Activity of Tourism and Hospitality Enterprises (2019b). International Journal of Innovative Technology and Exploring Engineering, 9(1), 1686–1691. DOI: 10.35940/ijitee.a4773.119119.
- Seeram, E. (2019). An Overview of Correlational Research. Radiologic technology, 91(2), 176–179.
- Ramona, S.A., Pompiliu, C.M., Stoyanova, M. (2019). Data Mining Algorithms for Knowledge Extraction. Springer Proceedings in Business and Economics. DOI: 10.1007/978-3-030-43449-6_20.
- Stoichev, T., Coelho, J.P., De Diego, A., Valenzuela, M.G.L., Pereira, M.E., de Chanvalon, A.T., Amouroux, D. (2020). Multiple regression analysis to assess the contamination with metals and metalloids in surface sediments (Aveiro Lagoon, Portugal). Marine Pollution Bulletin, 159, 111470.
- Stojanov, M. (2021). Impact of the COVID-19 Pandemic on the Retail Trade in Bulgaria. Dialog, 1, 36–49.
- Takoeva, E.A., Datieva, F.S. (2019). Seasonal Fluctuations of Microcirculation at Medical Students with Successful Adaptation and Desynchronosis. In: International Conference on Health and Well-Being in Modern Society (ICHW 2019)(pp. 237–240). Atlantis Press.
- Todorova, S. (2019). Statistics for Data Analysis Using Microsoft Excel. Izvestia Journal of the Union of scientists – Varna, Economic Sciences series, 8(2), 68–74.
- Toscano, D., Murena, F. (2019). Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic, Atmospheric Environment: X, Elsevier BV, October. DOI: 10.1016/j.aeaoa.2019.100050.
- Yordanova, S., Stefanova, K. (2020). Major Technologies and Practical Aspects of the Digital Transformation of Business in a Big Data Environment. Business Management, 1, 5–21.
- Xu, L., Xie, F., Wang, C. (2022). Passive or proactive capacity sharing? A perspective of cooperation and competition between two regional ports. Maritime Policy & Management, 49(4), 492–509.
- Zhang, M., Zhang, D., Fu, S., Kujala, P., Hirdaris, S. (2022). A predictive analytics method for maritime traffic flow complexity estimation in inland waterways. Reliability Engineering & System Safety, 220, 108317. DOI: 10.1016/j.ress.2021.108317.
Language: English
Page range: 402 - 426
Submitted on: Apr 22, 2023
Accepted on: Sep 15, 2023
Published on: Dec 9, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Related subjects:
© 2023 Julian Vasilev, Snezhana Sulova, published by Sciendo
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.