一个基于修改Shapley价值方法的道路数据资产收入分配模型,考虑到贡献评估
Shiwei Li1,2, Lei Chu3, Jisen Wang3
1School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China. liswyunshu@126.com.
Scientific reports
|March 2, 2024
概括
本研究引入了道路数据资产的新型两层收入分配模型,通过考虑数据风险和参与者的不同贡献来提高公平性. 该模型确保在不断发展的数据经济中更公平地分配收入.
科学领域:
- 运输科学 运输科学
- 数据经济学数据经济学
- 信息系统信息系统信息系统
背景情况:
- 道路数据资产越来越有价值,需要公平的收入分配机制.
- 传统的收入分配模式往往无法考虑各种贡献和风险.
- 有效的利益分配对于促进基于市场的道路数据利用至关重要.
研究的目的:
- 用修改的沙普利价值方法开发道路数据资产的双层收入分配模型.
- 纳入数据风险因素和质量/数量贡献,以实现更公平的收入分配.
- 为公路运输行业的数据资产化提供一个强大的方法.
主要方法:
- 构建了一个两层模型:基于角色的分配 (考虑到数据风险) 和参与者级的校正因子.
- 运用权衡和粗略的集合理论来确定权重系数.
- 利用模糊的综合评估和数值分析来评估参与者的贡献.
主要成果:
- 该模型将收入分配给数据收集者,处理者和生产者,并根据数据风险进行调整.
- 它根据个人贡献对角色的收入分配进行了细化.
- 综合了每个参与者的综合收入分配,确保公平.
结论:
- 修改后的沙普利价值模型为道路数据资产提供了更公平,更合理的收入分配.
- 它通过评估定性和定量贡献来解决传统方法的局限性.
- 这项研究为交通运输部门的数据资产化和利益分配提供了宝贵的参考.
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