We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Green logistics - measures for reducing CO<sub>2</sub>.
- Authors
Antoni, Alfonz; Perić, Mile; Čišić, Dragan
- Abstract
Paper presents measures for reducing CO2 in logistic operations, especially transportation. Fundamental measures (transport fuels, improving vehicle efficiency, vehicle technology, transport efficiency, traffic infrastructure management, integration of transport systems, safety and security, economic aspects of change, broader environmental impacts, equity and accessibility, information and awareness, infrastructure, pricing and taxation and regulation) have been recognized, and discussed. Data obtained using questionnaires on substantial number of experts has been used and statistically processed. Using data mining techniques, authors have isolated information from a data set and converted it into an comprehensible structure for additional utilisation. Correlation analysis, multilevel hierarchy and principal factor analysis have been used. Finally, Bayesian classifier method is used to define Bayesian network in order to show interconnections between chosen factors.
- Subjects
CARBON dioxide mitigation; DATA mining; MARITIME shipping; MARITIME shipping &; the environment; STATISTICAL correlation; BAYESIAN analysis
- Publication
Scientific Journal of Maritime Research, 2015, Vol 29, Issue 1, p45
- ISSN
1332-0718
- Publication type
Article