A Stackelberg-based repurchase strategy for rail freight options (BRFO).

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES PLoS ONE Pub Date : 2024-09-20 eCollection Date: 2024-01-01 DOI:10.1371/journal.pone.0307215
Qi Shen, Tingyue Kuang, Jingwei Guo
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Abstract

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.

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基于 Stackelberg 的铁路货运期权回购战略 (BRFO)。
本研究提出了一种新颖的铁路货运回购期权(BRFO),利用斯塔克尔伯格博弈论加强铁路货运交易的战略管理。该研究将传统的回购理论与多阶段三叉树定价模型相结合,并通过非参数伊藤随机方法进行参数识别,从而解决了信息不对称和市场不确定性等关键难题。所提出的方法强调动态定价策略和市场适应性,在铁路货运定价中构建了纳什均衡框架。研究结果表明,铁路货运定价可为铁路企业带来巨大的战略利益,使铁路货运定价成为在面临其他运输选择时提高竞争力的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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