Data analytics and throughput forecasting in port management systems against disruptions: a case study of Busan Port

Forecasting cargo throughput is an essential albeit challenging task in ensuring efficient seaport management. In this study, data analytics is employed to analyze the nonlinear dynamic behaviors, as well as disruptions in port throughputs. Further, nonlinear analytical methods, including the Lyapun...

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Detalles Bibliográficos
Autores principales: Cuong, Truong Ngoc, Long, Le Ngoc Bao, Kim, Hwan-Seong, You, Sam-Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Palgrave Macmillan UK 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589647/
http://dx.doi.org/10.1057/s41278-022-00247-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589647/
http://dx.doi.org/10.1057/s41278-022-00247-5

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