@article{Elentably_van Essen_Fahad_Saleh Aljahdly_2024_2,
	author = {Elentably, Akram and van Essen, Pieter and Fahad, Ayman Bin and Saleh Aljahdly, Bassam Bin},
	title = {Create a Statistical Model to Show the Relationship Between the Types and Numbers of Ships Used Green Fuel Frequenting Saudi Ports and Their Impact on Port Profitability},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {18},
	number = {3},
	pages = {511-517},
	year = {2024},
	url = {./Article_Create_a_Statistical_Model_to_Show_Elentably,71,1424.html},
	abstract = {The shipping industry's significant contribution to global air pollution, estimated at 13% of man-made carbon dioxide emissions, has spurred shipping companies to embrace green fuels like LNG and biofuels. However, their higher costs pose a challenge to their adoption. This study presents a statistical model that demonstrates the relationship between green fuel use by ships visiting Saudi ports and port profitability. Leveraging data from the Saudi Ports Authority and the International Maritime Organization, the model establishes a positive correlation between green fuel usage and port profitability. This correlation stems from green fuel's environmental benefits, which translate into lower operating costs and increased revenues for ports. The model empowers port authorities in making informed decisions to attract vessels utilizing green fuels. By promoting the adoption of sustainable practices, ports can not only enhance their environmental standing but also improve their financial resilience.},
	doi = {10.12716/1001.18.03.04},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Statistical Method, Statistical Analyse, Green Fuel, Ship Size, Ecosystem in Saudi Arabia, Environmental Impact of Shipping, Port profitability, Ship Type}
}