Sustainable freight forwarding – inland navigation

Main Article Content

Andrej David

Abstract

Inland navigation plays a crucial role in goods transport, facilitating the movement of goods via rivers and canals. Sustainability in Goods transport involves reducing environmental impact, promoting social responsibility, and enhancing efficiency. Sustainability in goods transport includes optimising transportation routes, investing in fuel-efficient vehicles, and promoting alternative fuels. Green technologies such as GPS tracking and route optimisation software can improve efficiency. Encouraging sustainable packaging materials and carbon offsetting can further reduce environmental impact. Inland navigation can be greener by adopting alternative fuels, improving vessel efficiency, and optimising routes. Maintenance and modernisation of infrastructure, environmental protection measures, and modal shifts from road transport also contribute to sustainability. Various factors influence the performance of inland navigation, including infrastructure, water levels, vessel characteristics, regulations, economic conditions, technological advancements, environmental factors, and social considerations. Integrating sustainable practices and addressing these factors can lead to a more environmentally friendly and efficient goods water transport system. This paper investigates the connections between inland goods transport and sustainability, identifying the main factors. Some basic statistics were collected and analysed to show the performance of inland navigation. The analysis showed that inland navigation is very diverse in Europe, Western Europe is more developed than Eastern European countries. In conclusion, it can be stated that many factors influence the development of Eastern European inland navigation.

Article Details

How to Cite
David, A. (2024). Sustainable freight forwarding – inland navigation. Cognitive Sustainability, 3(1). https://doi.org/10.55343/cogsust.101
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Articles

References

Central Commission for the Navigation of the Rhine (2022). Annual Report 2022 URL: https://inland-navigation-market.org/chapitre/2-freight-transport-on-inland-waterways-2/?lang=en (last visit: 2024.03.14.)

Eurostat (2022): Databrowser URL: https://ec.europa.eu/eurostat/databrowser/view/iww_go_atygo__custom_10583440/default/map?lang=en (last vist: 2024.03.15.)

Károlyfi, K. A., Szalai, D., Szép, J., & Horváth, T. (2021). Integration of BIM in architecture and structural engineering education through common projects. Acta Technica Jaurinensis, 14(4), 424-439. DOI: https://doi.org/mn3s

Lavuri, R., Roubaud, D., Grebinevych, O. (2023). Sustainable consumption behaviour: Mediating role of pro-environment self-identity, attitude, and moderation role of environmental protection emotion. Journal of Environmental Management. 347, 119106. DOI: https://doi.org/mmct

Ma, M., Zhang, F., Liu, W., Dixit, V. (2023). On urban co-modality: Non-cooperative and cooperative games among freight forwarder, carrier and transit operator. Transportation Research Part C: Emerging Technologies. 153, 104234. DOI: https://doi.org/mmcs

Majerčák, J., Kurenkov, P. V., Ostashevskaya, O. (2024). A Systematic Approach to the Design of Logistics Solutions and a Methodology for their Evaluation in the Field of Greening Freight Transport. Transportation Research Procedia. 77, 193–200. DOI: https://doi.org/mmcw

Mancino D. (2023): High-value datasets – mobility in the EU. EUROSTAT. URL: https://data.europa.eu/en/publications/datastories/high-value-datasets-mobility-eu-3

Maternová, A., Materna, M., Dávid, A. (2022). Revealing causal factors influencing sustainable and safe navigation in central Europe. Sustainability. 14(4), 2231. DOI: https://doi.org/mmsb

Maternová, A., Materna, M., Dávid, A., Török, A., Švábová, L. (2023). Human error analysis and fatality prediction in maritime accidents. Journal of Marine Science and Engineering. 11(12), 2287. DOI: https://doi.org/mmr7

Naumov, V. (2018). Modeling demand for freight forwarding services on the grounds of logistics portals data. Transportation Research Procedia. 30, 324–331. DOI: https://doi.org/mmcr

Nilsson, R., Gärling, T., Lützhöft, M. (2009). An experimental simulation study of advanced decision support system for ship navigation. Transportation research part F: traffic psychology and behaviour. 12(3), 188–197. DOI: https://doi.org/cjjb3t

Palomba, V., Aprile, M., Motta, M., Vasta, S. (2017). Study of sorption systems for application on low-emission fishing vessels. Energy. 134, 554–565. DOI: https://doi.org/mmcx

Savu, S. V., Marin, R. C., David, A., Olei, A. B., Dumitru, I., Tarnita, D., Maternova, A., Savu, I. D. (2022). Reducing NOx emissions through microwave heating of aftertreatment systems for sustainable transport in the inland waterway sector. Sustainability. 14(7), 4156. DOI: https://doi.org/mmr9

Scholz, J., Dilger, L. J., Friedmann, M., Fleischer, J. (2023). A Methodology for Sustainability Assessment and Decision Support for Sustainable Handling Systems. Procedia CIRP. 116, 47–52. DOI: https://doi.org/mmcv

Upadhyay, R. K., Gupta, J., Khobragade, V. J. (2024). Enhancing Multimodal Transportation in India: Jogighopa Multimodal Logistics Park. In Intelligent Transportation System and Advanced Technology (pp. 123-157). Singapore: Springer Nature Singapore. DOI: https://doi.org/mn3p

Zalacko, R., Zöldy, M., Simongáti, G. (2020). Comparative study of two simple marine engine BSFC estimation methods. Brodogradnja. 71(3), 13–25. DOI: https://doi.org/hb7z