; BKF University of applied sciences, Budapest, Hungary
; Rijeka, Croatia
; University of Rijeka, Faculty of Maritime Studies in Rijeka, Rijeka, Croatia
APA 6th Edition Antoni, A., Perić, M. i Čišić, D. (2015). Green logistics – measures for reducing CO2. Pomorstvo, 29 (1), 45-51. Preuzeto s https://hrcak.srce.hr/140206
MLA 8th Edition Antoni, Alfonz, et al. "Green logistics – measures for reducing CO2." Pomorstvo, vol. 29, br. 1, 2015, str. 45-51. https://hrcak.srce.hr/140206. Citirano 23.01.2021.
Chicago 17th Edition Antoni, Alfonz, Mile Perić i Dragan Čišić. "Green logistics – measures for reducing CO2." Pomorstvo 29, br. 1 (2015): 45-51. https://hrcak.srce.hr/140206
Harvard Antoni, A., Perić, M., i Čišić, D. (2015). 'Green logistics – measures for reducing CO2', Pomorstvo, 29(1), str. 45-51. Preuzeto s: https://hrcak.srce.hr/140206 (Datum pristupa: 23.01.2021.)
Vancouver Antoni A, Perić M, Čišić D. Green logistics – measures for reducing CO2. Pomorstvo [Internet]. 2015 [pristupljeno 23.01.2021.];29(1):45-51. Dostupno na: https://hrcak.srce.hr/140206
IEEE A. Antoni, M. Perić i D. Čišić, "Green logistics – measures for reducing CO2", Pomorstvo, vol.29, br. 1, str. 45-51, 2015. [Online]. Dostupno na: https://hrcak.srce.hr/140206. [Citirano: 23.01.2021.]
Sažetak 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 a 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.