A Stackelberg-based repurchase strategy for rail freight options (BRFO)
This study presents a novel Buyback Rail Freight Option (BRFO), leveraging Stackelberg game theory to enhance the strategic management of rail freight transactions. By integrating traditional buyback theory with a multi-phase trigeminal tree pricing model and parameter identification through a nonparametric Ito stochastic method, the research addresses key challenges of information asymmetry and market uncertainty. The proposed methodology emphasizes dynamic pricing strategies and market adaptation, constructing a Nash equilibrium framework within railway freight pricing. The findings suggest significant strategic benefits for railway enterprises, positioning BRFO as a crucial tool for improving competitiveness in the face of alternative transport options.
Authors
- Tingyue Kuang (ORCID: https://orcid.org/0000-0003-4419-6298)
- J. GUO (ORCID: https://orcid.org/0009-0006-1592-5817)
- Qi Shen (ORCID: https://orcid.org/0009-0005-1919-6749)
Institutions
- Southwestern University of Finance and Economics (CN)
- City University of Macau (MO)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1371/journal.pone.0307215
- Citations
- 1
- Primary Topic
- Transportation Planning and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.68
Funders
- National Natural Science Foundation of China