Core Viewpoint - The ride-hailing market is undergoing a transformation into a flow game, with aggregation platforms like Gaode acting as traffic entry points, while smaller platforms compete on price, leading to a price war that ultimately affects drivers [2][12]. Group 1: Market Dynamics - In October 2025, the number of ride-hailing orders reached 892 million, with aggregation platforms accounting for 31% of the market share [2]. - The aggregation model has redefined the ride-hailing market, positioning platforms like Gaode as major traffic hubs, while smaller platforms are likened to small businesses competing for visibility [2][12]. - The cost of the price war is being transferred to drivers, many of whom are new entrants struggling to survive in a saturated market [2][12]. Group 2: Driver Experiences - Drivers like Li Xuemei have experienced significant drops in earnings, with her daily revenue falling from 400 to 300, and in some cases, as low as 200 [4][25]. - Many drivers resort to tactics such as "number washing" to improve their standing on platforms, but these methods often yield diminishing returns [4][5]. - The strict management of driver accounts by platforms like Didi has led to a black market for account recovery, with reports of drivers paying to remove negative records [8][9]. Group 3: Platform Competition - The number of new ride-hailing companies surged to 72 between 2021 and 2023, as regulatory changes lowered entry barriers [9]. - Smaller platforms are increasingly reliant on aggregation platforms for order acquisition, with Gaode emerging as a dominant player in the market [12][19]. - The revenue model for these smaller platforms is strained, as they must pay a 9% commission to aggregation platforms and a 5% service fee to SaaS providers, leaving little profit margin [13][20]. Group 4: Economic Pressures on Drivers - Many drivers face financial pressures, with operating costs such as vehicle rental and living expenses often exceeding their earnings [15][24]. - The introduction of commission-free cards by smaller platforms has created a dilemma for drivers, who feel compelled to purchase them despite the high costs [22][24]. - The overall decline in order volume has led to increased competition among drivers, making it difficult to maintain stable earnings [12][19].

Core Viewpoint - The article discusses the challenges and pitfalls of the ride-hailing aggregation model in China, highlighting how it has created a difficult ecosystem for drivers, small platforms, and passengers, leading to a situation where all parties are trapped in a cycle of low prices and high competition [5][6][7]. Aggregation Model Overview - The ride-hailing aggregation model allows users to access multiple ride-hailing services through a single platform, enhancing convenience and reducing costs for consumers [9]. - Major players like Gaode Map, Baidu Map, Meituan Dache, and Tencent have entered the market, driving the popularity of this model [9]. Structural Challenges for Small Platforms - Small ride-hailing platforms, while gaining access to orders and technical support through aggregation, lose direct contact with users and brand recognition, becoming mere "capacity suppliers" [11][12]. - The reliance on third-party SaaS providers for operational support further diminishes their autonomy, as they must adhere to the algorithms and strategies set by these providers [12][21]. Price Competition and Its Consequences - The aggregation model has led to intense price competition among small platforms, forcing them to lower fares to attract customers, often below cost [16][22]. - Drivers face pressure to meet high performance targets to qualify for minimum income guarantees, leading to long working hours and financial stress [18][19]. Driver Incentives and Challenges - Small platforms offer various incentive schemes, such as commission-free cards and minimum income guarantees, but these often come with stringent conditions that are difficult for drivers to meet [17][18]. - The increasing demands for performance metrics, such as daily online hours and order completion rates, exacerbate the challenges faced by drivers [19][21]. Impact on the Overall Ecosystem - The aggregation model has resulted in a loss of brand identity for small platforms, making it difficult for them to attract customers independently [21][22]. - The pressure on pricing and service quality has led to a decline in overall service standards, affecting passenger experiences and complicating dispute resolution [23][24]. Conclusion and Future Outlook - The aggregation model, while initially intended to enhance efficiency and convenience, has devolved into a competitive struggle that undermines the interests of all stakeholders [26][27]. - A reevaluation of competitive strategies and a balance between commercial interests and social responsibilities are necessary for the ride-hailing industry to evolve into a healthier ecosystem [27][28].