## 6 Conclusions  
Possible transport alternative routes between ports and consignors/consignees using different modes of transport have been explored, which is very important in light of the demanding economic situation and energy demand requirements. The use of the graph theory method for the optimization of shipments between ports and consignors/consignees using different modes of transport is important from a theoretical and practical point of view, and has aroused great interest among transport researchers and transport and logistics companies. The developed (\(K_{i}\)) evaluation model presented in the paper allows us to determine the optimal transportation options, considering the transportation time, price and energy demand factors. The analysis of the case using the developed methodology and real experimental factors of transportation cost, time and energy demand confirmed the theoretical expediency and practical applicability of the developed methodology. The results of the case study have shown that the developed methodology can be successfully applied in many parts of the world. Green transportation solutions are also very important because terminals and industry regions are located close to living areas, and it is necessary to reduce the energy demand and environmental impact of transport and increase living standards in these areas. The proposed calculation of the transport mode comparative index can assist the transport and industry companies, as well as administrations, with identification of the most optimal solutions in transport infrastructure development and choice of optimal transport corridors and transport modes. \"Last mile\" logistics are very important in multimodal and intermodal transport. Optimal solutions for this part of transportation require research and adaptation to specific locations, such as industrial and densely populated areas. Combining different transport modes can optimize transport links, transportation costs, minimize transportation time and decrease energy demand. Conceptualization, V.P., D.P. and M.S. ; methodology, V.P., D.P., B.P. and R.B. ; software, V.P. and A.K. ; validation, V.P., L.H. and M.J.; formal analysis, V.P., M.J. and D.P. ; resources, V.P., D.P. and M.S. ; data curation, V.P., R.B., A.K. and D.P. ; writing--original draft preparation, V.P., M.S., B.P. and D.P. ; writing--review and editing, M.J., L.H. and V.P. ; visualization, V.P. ; A.K., B.P. and D.P. ; supervision, V.P. ; project administration, V.P. ; funding acquisition, V.P. and M.S. All authors have read and agreed to the published version of the manuscript. This research received no external funding. \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Factors** & **Existing Methods** & **Developed Method in This Paper** & **Future Research Prospects** \\ \hline Transportation time, costs and energy demand factors & Exist methods evaluate costs and time transportation; problematic to evaluate energy demand and additional factors & It is possible evaluate costs, transportation time, energy demand and additional factors & It is important make research works that more accurate works that more accurate workers weight \\  & It is possible to evaluate environmental impact factors and existing limitations and provide complex evaluation together with costs, time and energy demand evaluation & Method could be adopted evaluate economics and environmental factors & In future need research works more accurate evaluate economics and environmental factors in case of non-standard transportation processes \\ Complex evaluation of the main factors & Problematic, because in case of many factors not clear systems & Possible, but need clear evaluate weight of the factors & Finding weight of the factors could be main research tasks in future adopted to concrete conditions \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Differences between existing transportation evaluation methods, developed method in this paper and future research prospects.