Document Type : Original Manuscript

Authors

Faculty of Management, Accounting and Humanities, Qazvin, branch, Islamic Azad University, Qazvin, Iran.

Abstract

Nowadays, more than 90% of the global huge transit transportation is carried out through the sea ways. Different factors such as the emission of gases related to the fuel of ships in the sea and especially in ports, the leakage of oil materials due to marine accidents and the negligence of ship crews, the use of port equipment, impure diesel fuel in power station generators, etc., caused an increase in greenhouse gases emergence, environmental pollution and endangering human lives. Therefore, the creation and stablishing of green ports by applying the global and international standards and complying with maritime conventions and regulations would smooth out the process of the intelligentization of ports. In consequence, it can definitely increase the speed of goods transfer, the tracking of ships and goods, provide the transparency of statistics, reducing the costs and increasing the quality and capacity of the sea ports. This research for the above mentioned reasons, has applied the integrated theory that is empowered and developed by Dempster-Shafer and the interpretive structural equations of ISM (the green and smart components of ports). According to the carried out analysis, firstly, 9 key indicators were identified in the greening and smartness of ports, then the identified indicators were classified based on the Pestel analytical model. Finally, based on Dempster-Shafer method, it was indicated that the greenness indicator of the sea port margins with a weight of 0.141 is ranked in the first place and The amount of greenhouse gas production with a weight of 0.131 was ranked as the second one and in compliance with smart technology it was ranked in the third place with a weight of 0.128. This research is also applied the approach of the ISM method for identifying the applied indicators.

Keywords

Main Subjects

Abbasi, S., Barati, M. and Lim, G.J., 2017. A parallel sectionalized restoration scheme for resilient smart grid systems. IEEE Transactions on Smart Grid10(2), pp.1660-1670. https://doi.org/10.1109/TSG.2017.2775 523.
Abu Aisha, T., Ouhimmou, M. and Paquet, M., 2020. Optimization of container terminal layouts in the seaport—Case of port of Montreal. Sustainability12(3), p.1165. https: // doi.org/10.3390/su12031165.
Akgul, B., 2017, December. Green port/eco port project-applications and procedures in turkey. In IOP Conference Series: Earth and Environmental Science (Vol. 95, No. 4, p. 042063). IOP Publishing. https://doi .org/10.1088/1755-1315/95/4/042063.
Behdani, B., Wiegmans, B., Roso, V. and Haralambides, H., 2020. Port-hinterland transport and logistics: emerging trends and frontier research. Maritime Economics & Logistics22, pp.1-25. https://doi.org/10. 1057/s41278-019-00137-3.
Besri, Z. and Boulmakoul, A., 2017. Framework for organizational structure re-design by assessing logistics’ business processes in harbor container terminals. Transportation Research Procedia22, pp.164-173. https:// doi.org/10.1016/j.trpro.2017.03.023.
Braveboy, J.A., 2015. Worldwide seaport congestion, Master’s Capstone Thesis (Master dissertation). American Public University, Charles Town, WV.
Castelein, R.B., Geerlings, H. and Van Duin, J.H.R., 2019. The ostensible tension between competition and cooperation in ports: a case study on intra-port competition and inter-organizational relations in the Rotterdam container handling sector. Journal of Shipping and Trade4, pp.1-25. https://doi.org /10.1186/s41072-019-0046-5.
Castelein, B., Geerlings, H. and Van Duin, R., 2020. The reefer container market and academic research: A review study. Journal of Cleaner Production256, p.120654. https: //doi.org/10.1016/j.jclepro.2020.120654
Chen, J., Huang, T., Xie, X., Lee, P.T.W. and Hua, C., 2019. Constructing governance framework of a green and smart port. Journal of Marine Science and Engineering7(4), p.83. https://doi.org/10.3390/jmse7040083
Chiu, R.H., Lin, L.H. and Ting, S.C., 2014. Evaluation of green port factors and performance: a fuzzy AHP analysis. Mathematical problems in engineering2014. https://doi.org/10.1155/20 14/802976.
Cho, J., Lim, G.J., Kim, S.J. and Biobaku, T., 2018. Liquefied natural gas inventory routing problem under uncertain weather conditions. International Journal of Production Economics204, pp.18-29. https: //doi.org/10.1016/j.ijpe.2018.07.014.
Dempster, A.P., 1967. Upper and lower probability inferences based on a sample from a finite univariate population. Biometrika, 54(3-4), pp.515-528. https://doi.org/10.2307/2335042.
Hua, C., Chen, J., Wan, Z., Xu, L., Bai, Y., Zheng, T. and Fei, Y., 2020. Evaluation and governance of green development practice of port: A sea port case of China. Journal of Cleaner Production249, p.119434. https:// doi.org/10.1016/j.jclepro.2019.119434.
Homsombat, W., Yip, T.L., Yang, H. and Fu, X., 2013. Regional cooperation and management of port pollution. Maritime Policy & Management40(5), pp.451-466. https:// doi.org/10.1080/03088839.2013.797118.
Lam, J.S.L. and Notteboom, T., 2014. The greening of ports: a comparison of port management tools used by leading ports in Asia and Europe. Transport Reviews34(2), pp.169-189. https://doi.org/10.1080/014416 47.2014.891162.
Lawer, E.T., Herbeck, J. and Flitner, M., 2019. Selective adoption: How port authorities in Europe and West Africa Engage with the globalizing ‘Green Port’ idea. Sustainability, 11(18), p.5119.https://doi.org/10.3390/su 11185119.
Li, L., Zhu, J., Ye, G. and Feng, X., 2018. Development of green ports with the consideration of coastal wave energy. Sustainability, 10(11), p.4270. https:// doi.org/10.3390/su10114270.
Liu, J., 2020. Study on routing optimization model of container Sea-Rail intermodal transport based on transit period. In Green, Smart and Connected Transportation Systems: Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety (pp. 849-857). Springer Singapore. https://doi.org/10.1 007/978-981-15-0644-4_66.
Molavi, A., Lim, G.J. and Race, B., 2020. A framework for building a smart port and smart port index. International journal of sustainable transportation14(9), pp.686-700. http://dx.doi.org/10.1080/15568318.201 9.1610919.
Molavi, A., Shi, J., Wu, Y. and Lim, G.J., 2020. Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach. Applied Energy258, p.114022. https://doi.org/10.1016/j.apenergy .2019.114022.
Pak, J.Y., Yeo, G.T., Oh, S.W. and Yang, Z., 2015. Port safety evaluation from a captain’s perspective: The Korean experience. Safety science72, pp.172-181. https://doi.org/ 10.1016/j.ssci.2014.09.007.
Statista, 2022. Capacity of container ships in seaborne trade 1980-2022, Statista Research Department, Technical Rep.
Shafer, G., 1976. A mathematical theory of evidence (Vol. 42). Princeton university press. https://doi.org/10.2307/j.ctv10vm1qb.
Wang, T. and Li, M., 2019. Dynamic pricing model for container slot allocation considering port congestion. In Smart Transportation Systems 2019 (pp. 243-250). Springer Singapore. https://doi.org/10.1 007/978-981-13-8683-1_25.
Xu, G. and leilei, L., 2018. Approach to the construction of green port in Tianjin port. In MATEC Web of Conferences (Vol. 175, p. 04012). EDP Sciences. https://doi.org/10.1 051/matecconf/201817504012.
Xu, G. and Dadi, Z., 2020. Study on Evaluation System of Green Port Development. In E3S Web of Conferences (Vol. 194, p. 05012). EDP Sciences. https://doi.org/10.1051/ e3sconf/202019405012.