Abstract
At present, the global climate continues to warm. The Arctic ship** routes have become a reality. The opening of the Arctic route will greatly reduce the sea distance between Asia-Europe and Asia-America. It will effectively reduce the ship** cost and achieve the goal of mutually promoting regional economic development. The routes have quite high economic benefit value for all users. Take Dalian port to Rotterdam port for example. Calculate route costs and benefits. Collect relevant data through the SP survey. The discrete selection model—the Logit model is established. The transport sharing rate between the Arctic route and the traditional route is obtained. The Monte Carlo method was used to simulate the data, and the decision probability was obtained, and the error analysis was carried out with the Logit model results. It is believed that Arctic routes will increase their share of the freight market.
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References
Fedi, L., Faury, O., Gritsenko, D.: The impact of the Polar Code on risk mitigation in Arctic waters: a “toolbox” for underwriters. Marit. Policy Manag. 45(4) (2018)
Liu, M., Kronbak, J.: The potential economic viability of using the Northern Sea Route (NSR) as an alternative route between Asia and Europe. J. Transp. Geogr. 18(3), 434–444 (2010)
Verny, J., Grigentin, C.: Container ship** on the northern sea route. Int. J. Prod. Econ. 122(1), 107–117 (2009)
Dai, J., Yin, M.: Technical economic analysis of container ship transportation on the Arctic Northern Sea Route 5(8), (2019)
Furuichi, M., Otsuka, N.: Economic feasibility of finished vehicle and container transport by NSR/SCR combined ship** between East Asia and Northwest Europe. In: Proceedings of the IAME 2014 Conference, Norfolk, VA, USA, pp. 15–18 (2014)
Gao, T., Lu, J.: The impacts of strait and canal blockages on the transportation costs of the Chinese fleet in the ship** network. Policy Manag. 46 (2019)
Ateq, A., Melfi, A.: The application of discrete choice models in marketing decisions. Math. Theory Model. 4(9), 53–62 (2014)
Maria, G.B., Luigi, O., Laura, E.: Passengers’ expectations on airlines’ services: design of a stated preference survey and preliminary outcomes. Sustainabiility 12(11) (2020)
Dohee, K., Byung-** (Robert), P.: The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment. Tour. Manag. 63 (2017)
Yu, P.L.H., Lee, P.H., Cheung, S.F.: The Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians. Comput. Stat. 31(2), 799–827 (2016)
Alireza, R., Ghazaleh, A.., **a, J.: Examining human attitudes toward shared mobility options and autonomous vehicles. Transp. Res. Part F: Psychol. Behav. 72 (2020)
Lee, T., Kim, H.J.: Barriers of voyaging on the Northern Sea route: a perspective from ship** companies. Mar. Policy 62, 264–270 (2015)
Acknowledgements
This research was supported in Liaoning Provincial Nature Fund (2019-ZD-0661), Project of Liaoning Province Social Science Circle (2020lslktqn-058).
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Guan, F., Cao, Y., Peng, X., Wang, Y. (2021). Simulation Research of Arctic Route and Traditional Route Based on the Logit Model. In: Li, Y., Zhu, Q., Qiao, F., Fan, Z., Chen, Y. (eds) Advances in Simulation and Process Modelling. ISSPM 2020. Advances in Intelligent Systems and Computing, vol 1305. Springer, Singapore. https://doi.org/10.1007/978-981-33-4575-1_23
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DOI: https://doi.org/10.1007/978-981-33-4575-1_23
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