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多区域网约车市场中竞争下的战略调度均衡

Strategic Dispatching Equilibrium under Competition in Multi-Regional Ride-Hailing Markets

Ran Chen, Nikolas Geroliminis

arXiv 2609.09493首次发表:更新:

发表机构

École Polytechnique Fédérale de Lausanne (EPFL)(洛桑联邦理工学院)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文通过静态非合作博弈研究多区域网约车市场竞争,提出均衡存在性证明,并数值发现较小公司倾向集中车队,均衡车队规模可提升行业利润与服务需求。

AI 中文摘要

本文通过一个静态非合作博弈研究了多区域市场中网约车公司之间的竞争,在该博弈中,每家公司在其车队于各区域间的分配上以最大化利润为目标。在所提出框架的假设下,我们通过分析收益函数的渐近拟凹性,在受限可行集上建立了均衡存在性结果。一个两家公司、两个区域的市场的数值研究表明,相对车队规模强烈影响均衡调度策略:较小的公司倾向于将其车队集中在一个区域,并且仅在其车队份额(以百分比计)超过某个阈值后才服务于两个区域。在本文考虑的数值设定下,且在Logit需求规格下,与强烈不对称的车队配置相比,更均衡的车队规模与更高的行业总利润和更高的总服务需求相关联。

英文摘要

This paper studies competition between ride-hailing companies in a multi-regional market through a static non-cooperative game, in which each company allocates its fleet across regions to maximize profit. Under the assumptions of the proposed framework, we establish an equilibrium existence result on a restricted feasible set by analyzing the asymptotic quasi-concavity of the payoff functions. A numerical study of a two-company, two-region market shows that relative fleet size strongly affects equilibrium dispatching strategies: the smaller company tends to concentrate its fleet in one region and serves both regions only after its fleet share (in percentage) exceeds a threshold. In the numerical setting considered here and under the Logit demand specification, more balanced fleet sizes are associated with higher total industry profit and higher total served demand than strongly asymmetric fleet configurations.

CommentsPublished in the 2026 European Control Conference (ECC), Reykjavik, Iceland. Copyright 2026 IEEE

论文原文

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