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Original scientific paper

Green logistics – measures for reducing CO2

Alfonz Antoni ; BKF University of applied sciences, Budapest, Hungary
Mile Perić ; Rijeka, Croatia
Dragan Čišić   ORCID icon orcid.org/0000-0001-6235-0987 ; University of Rijeka, Faculty of Maritime Studies in Rijeka, Rijeka, Croatia

Fulltext: english, pdf (1 MB) pages 45-51 downloads: 1.584* cite
APA 6th Edition
Antoni, A., Perić, M. & Čišić, D. (2015). Green logistics – measures for reducing CO2. Pomorstvo, 29 (1), 45-51. Retrieved from https://hrcak.srce.hr/140206
MLA 8th Edition
Antoni, Alfonz, et al. "Green logistics – measures for reducing CO2." Pomorstvo, vol. 29, no. 1, 2015, pp. 45-51. https://hrcak.srce.hr/140206. Accessed 24 Jan. 2021.
Chicago 17th Edition
Antoni, Alfonz, Mile Perić and Dragan Čišić. "Green logistics – measures for reducing CO2." Pomorstvo 29, no. 1 (2015): 45-51. https://hrcak.srce.hr/140206
Harvard
Antoni, A., Perić, M., and Čišić, D. (2015). 'Green logistics – measures for reducing CO2', Pomorstvo, 29(1), pp. 45-51. Available at: https://hrcak.srce.hr/140206 (Accessed 24 January 2021)
Vancouver
Antoni A, Perić M, Čišić D. Green logistics – measures for reducing CO2. Pomorstvo [Internet]. 2015 [cited 2021 January 24];29(1):45-51. Available from: https://hrcak.srce.hr/140206
IEEE
A. Antoni, M. Perić and D. Čišić, "Green logistics – measures for reducing CO2", Pomorstvo, vol.29, no. 1, pp. 45-51, 2015. [Online]. Available: https://hrcak.srce.hr/140206. [Accessed: 24 January 2021]

Abstracts
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.

Keywords
Green logistics; Measures reducing CO2; Logistic environmental impact

Hrčak ID: 140206

URI
https://hrcak.srce.hr/140206

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