Seaport profit analysis and efficient management strategies under stochastic disruptions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economics, Econometrics and Finance (miscellaneous),Transportation
Link
https://link.springer.com/content/pdf/10.1057/s41278-023-00271-z.pdf
Reference43 articles.
1. Achurra-Gonzalez, P.E., P. Angeloudis, N. Goldbeck, D.J. Graham, K. Zavitsas, and M.E. Stettler. 2019. Evaluation of port disruption impacts in the global liner shipping network. Journal of Shipping and Trade 4 (1): 1–21.
2. Aghalari, A., F. Nur, and M. Marufuzzaman. 2021. Solving a stochastic inland waterway port management problem using a parallelized hybrid decomposition algorithm. Omega 102: 102316.
3. Bae, M.J., E.P. Chew, L.H. Lee, and A. Zhang. 2013. Container transshipment and port competition. Maritime Policy & Management 40 (5): 479–494.
4. Bandt, C., and B. Pompe. 2002. Permutation entropy: A natural complexity measure for time series. Physical Review Letters 88 (17): 174102.
5. Chiba, K. 2020. An M-estimator for stochastic differential equations driven by fractional Brownian motion with small Hurst parameter. Statistical Inference for Stochastic Processes 23 (2): 319–353.
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