一个基于Stackelberg的回购策略,用于铁路货运选择 (BRFO).
Qi Shen1, Tingyue Kuang2, Jingwei Guo2
1School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu, China.
PloS one
|September 20, 2024
概括
本研究介绍了使用游戏理论来改进铁路货运定价策略的回购铁路货运选择 (BRFO). 它为铁路企业提供了与其他交通方式相比的竞争优势.
科学领域:
- 运营研究 运营研究
- 游戏理论 游戏理论
- 运输经济学 运输经济学
背景情况:
- 铁路货运交易面临信息不对称和市场不确定性的挑战.
- 现有的定价模式可能无法充分解决铁路货运市场的动态性质.
- 需要战略工具来增强对替代运输选择的竞争力至关重要.
研究的目的:
- 为铁路货运的战略管理提出一个新的回购铁路货运选择 (BRFO).
- 开发一个动态的定价框架,包括市场不确定性和信息不对称.
- 为铁路货运定价构建纳什平衡模型.
主要方法:
- 利用斯塔克尔伯格游戏理论进行战略互动建模.
- 集成传统的回购理论与多相三树定价模型.
- 在参数识别和市场不确定性分析中采用非参数的伊托随机方法.
主要成果:
- 开发了一个强大的框架,用于铁路货运的动态定价.
- 在拟议的铁路货运定价模型中建立了纳什平衡.
- 证明了回购铁路货运选项 (BRFO) 在解决信息不对称性的有效性.
结论:
- 回购铁路货运选择 (BRFO) 为铁路企业提供了重要的战略优势.
- 该方法提高了铁路货运部门的市场适应性和竞争力.
- BRFO是优化铁路货运交易与竞争运输方式相比的重要工具.
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