COVID-CO2-ferries

DOI10.5281/zenodo.6473158Zenodo6473158MaRDI QIDQ6724868

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 21 April 2022

Copyright license: No records found.

Description

TheCOVID_CO2_ferries dataset stems fromvariables of theTHETIS-MRVand IHS Markit datasets. They aredescribed in the manuscript referenced below in Additional Resources. Meaning of the variables in the COVID_CO2_ferries dataset: number name meaning units 1 IMOn IMO number (Vessel unique identifier) - 2 Eber Per-ship CO2 emissions at berth ton 3 Etot Per-ship total CO2 emissions ton 4 Dom Sea Basin (NOR, BAL, MED) - 5 COVID dummy variable (true in 2020) - 6 year year of CO2 emissions - 7 Pme Total power of main engines 0/1 8 LOA Length over all 0/1 9 nPax Passenger carrying capacity 0/1 10 yearB year of building 0/1 11 nCalls Per-ship number of port calls - 12 VType Vessel type (see defining Eq. below) - The variables with binary values (0/1 in the units column) refer to below (0) or above (1) the thresholds defined by: \(k\) \(\varphi_k\) \(\varphi_{k0}\) units 0 Pme 21,600 kW 1 nPax 1,250 - 2 LOA 174 m 3 yearB 1999 - TheVType variable is defined by: \(\texttt{VType} = \sum_{k=0}^{3} \, 2^{k} \cdot H(\varphi_{k} - \varphi_{k0}) \) Additional Resources The How COVID-19 affected GHG emissions of ferries in Europemanuscript by Mannarini et al. (2022) using this dataset is published onSustainability2022, 14(9), 5287; https://doi.org/10.3390/su14095287.You may want to cite it. A jupyter notebook usingthis dataset is available athttps://github.com/hybrs/COVID-CO2-ferries

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