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 nonpa...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0307215 |
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| _version_ | 1850033889563639808 |
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| author | Qi Shen Tingyue Kuang Jingwei Guo |
| author_facet | Qi Shen Tingyue Kuang Jingwei Guo |
| author_sort | Qi Shen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-91f4efb85f5f4ff8b178152e05b2ee2f |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-91f4efb85f5f4ff8b178152e05b2ee2f2025-08-20T02:58:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01199e030721510.1371/journal.pone.0307215A Stackelberg-based repurchase strategy for rail freight options (BRFO).Qi ShenTingyue KuangJingwei GuoThis 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.https://doi.org/10.1371/journal.pone.0307215 |
| spellingShingle | Qi Shen Tingyue Kuang Jingwei Guo A Stackelberg-based repurchase strategy for rail freight options (BRFO). PLoS ONE |
| title | A Stackelberg-based repurchase strategy for rail freight options (BRFO). |
| title_full | A Stackelberg-based repurchase strategy for rail freight options (BRFO). |
| title_fullStr | A Stackelberg-based repurchase strategy for rail freight options (BRFO). |
| title_full_unstemmed | A Stackelberg-based repurchase strategy for rail freight options (BRFO). |
| title_short | A Stackelberg-based repurchase strategy for rail freight options (BRFO). |
| title_sort | stackelberg based repurchase strategy for rail freight options brfo |
| url | https://doi.org/10.1371/journal.pone.0307215 |
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