How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications

D Yang, L Wu, S Wang, H Jia, KX Li - Transport Reviews, 2019 - Taylor & Francis
The information-rich vessel movement data provided by the Automatic Identification System
(AIS) has gained much popularity over the past decade, during which the employment of …

[HTML][HTML] Ship speed vs power or fuel consumption: Are laws of physics still valid? Regression analysis pitfalls and misguided policy implications

HN Psaraftis, S Lagouvardou - Cleaner Logistics and Supply Chain, 2023 - Elsevier
There have been a number of recent papers in the literature that investigate the relationship
between ship speed and required power, or between ship speed and fuel consumption …

Geography, transportation, and endogenous trade costs

G Brancaccio, M Kalouptsidi, T Papageorgiou - Econometrica, 2020 - Wiley Online Library
In this paper, we study the role of the transportation sector in world trade. We build a spatial
model that centers on the interaction of the market for (oceanic) transportation services and …

[HTML][HTML] Energy efficiency in ship operations-exploring voyage decisions and decision-makers

RT Poulsen, M Viktorelius, H Varvne… - … Research Part D …, 2022 - Elsevier
To mitigate climate change due to international shipping, the International Maritime
Organization (IMO) requires shipowners and ship technical managers to improve the energy …

[HTML][HTML] Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry

X Bai, L Cheng, Ç Iris - Transportation Research Part E: Logistics and …, 2022 - Elsevier
The global shipping industry has long suffered from high volatilities in freight rates and
bunker fuel prices that lead to significant earnings risks. This paper aims to investigate the …

[HTML][HTML] Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet

R Adland, P Cariou, FC Wolff - … Part E: Logistics and Transportation Review, 2020 - Elsevier
We develop a flexible framework for the estimation of the fuel consumption-speed curve for
ships which allows for speed-dependent elasticity with endogenous thresholds. Using a …

[HTML][HTML] Development of a fuel consumption prediction model based on machine learning using ship in-service data

YR Kim, M Jung, JB Park - Journal of Marine Science and Engineering, 2021 - mdpi.com
JMSE | Free Full-Text | Development of a Fuel Consumption Prediction Model Based on
Machine Learning Using Ship In-Service Data Next Article in Journal North Sea Infragravity …

[HTML][HTML] Impacts of a bunker levy on decarbonizing shipping: A tanker case study

S Lagouvardou, HN Psaraftis, T Zis - Transportation Research Part D …, 2022 - Elsevier
The pressure on shipping to reduce its carbon footprint is increasing. Various measures are
being proposed at the International Maritime Organization (IMO), including Market-Based …

Feasibility of the Northern Sea Route: The role of distance, fuel prices, ice breaking fees and ship size for the product tanker market

D Theocharis, VS Rodrigues, S Pettit… - … Research Part E: Logistics …, 2019 - Elsevier
This paper investigates the feasibility of the Northern Sea Route (NSR) using a speed
optimisation model to minimise the required freight rate, by employing current data from a …

Energy efficiency with the application of Virtual Arrival policy

H Jia, R Adland, V Prakash, T Smith - Transportation Research Part D …, 2017 - Elsevier
The shipping sector's emissions and energy efficiency are attracting increasing international
scrutiny, with the International Maritime Organization (IMO) actively promoting better energy …