捆绑模式下网约车与聚合平台定价策略的Nash-stackelberg博弈视角

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL International Journal of Industrial Engineering Computations Pub Date : 2022-01-01 DOI:10.5267/j.ijiec.2022.3.002
Weina Xu, G. Lin, Xide Zhu
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引用次数: 2

摘要

近年来,聚合平台的日益普及引起了网约车市场的广泛关注。为了通过收取佣金和插班费来获得额外的订单,许多网约车平台选择与聚合平台捆绑。与传统的经销商电子渠道不同,捆绑渠道可能会影响平台的定价、司机的服务水平、市场需求,进而影响利润。这些不同的态度提出了一个有趣而关键的问题,即捆绑渠道对网约车平台的影响。本文提出了捆绑模式下网约车和拼车平台的定价策略分析框架,并从纳什博弈和Stackelberg博弈的角度分析了两者的定价过程,其中平台作为领导者通过纳什均衡确定最优价格,司机作为追随者提供最优服务水平。通过对服务水平和成本的敏感性分析,捕捉到平台间利润的分布趋势。通过数值算例和结果分析,得出了网约车和聚合平台定价的一些有趣的管理见解。
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Nash-stackelberg game perspective on pricing strategies for ride-hailing and aggregation platforms under bundle mode
The growing popularity of aggregation platforms has attracted widespread attention in the ride-hailing market in recent years. In order to obtain additional orders by charging commissions and slotting fees, many ride-hailing platforms choose to bundle with aggregation platforms. Unlike traditional reseller electronic channels, the bundle channels may affect pricing of platforms, service levels of drivers, market demands and they may further impact on profits. These different attitudes raise an interesting and key question about the influence of bundle channels in ride-hailing platforms. In this paper, we propose an analytical framework for pricing strategies of ride-hailing and aggregation platforms under bundle mode and analyze their pricing process from the perspective of Nash and Stackelberg games, where the platforms serve as leaders to determine optimal prices through Nash equilibrium and the drivers serve as followers to provide optimal service levels. Through sensitivity analysis of service levels and costs, we capture the distribution trends of profits between the platforms. Based on some numerical examples and results analysis, some interesting managerial insights on pricing of ride-hailing and aggregation platforms are gained.
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来源期刊
CiteScore
5.70
自引率
9.10%
发文量
35
审稿时长
20 weeks
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