3 6 Ke·2025-12-31 11:56Core Viewpoint - Meituan has introduced a new order distribution model that replaces the previous pure抢单 (grab order) mechanism, leading to significant changes in the working conditions and income of delivery riders, sparking mixed reactions within the rider community [1][10]. Group 1: Reasons for Changing Order Distribution Rules - The new distribution model was implemented in mid-December and is currently being tested in cities like Guangzhou, Dongguan, Foshan, and Changsha [1]. - The distribution model still allows for a抢单 (grab order) approach, but introduces a 3 to 5 second waiting period for the system to evaluate and assign orders, effectively shifting control from riders to the platform [2][3]. - The previous抢单 model had significant issues, including the prevalence of "外挂" (cheating software) that undermined fair competition, leading to frustration among regular riders [2][3]. Group 2: Impact on Riders - Riders have expressed dissatisfaction with the loss of autonomy in choosing orders, as the new model enforces mandatory order assignments, which can lead to penalties for rejecting orders [10][11]. - Income disparities have emerged, with top riders experiencing a decrease in order volume and income due to the average distribution of orders, while less experienced riders may not see significant income improvements despite receiving more orders [13][14]. - The new model has intensified "order anxiety" among riders, as they are now compelled to accept orders that may not align with their preferences or capabilities, leading to a more stressful working environment [3][10]. Group 3: Strategic Considerations for Meituan - Meituan aims to enhance user experience by ensuring better coverage in less serviced areas, thus increasing overall market share in the competitive food delivery sector [4][7]. - The platform's algorithm is designed to optimize order distribution based on rider, user, and merchant experiences, potentially improving efficiency and reducing delivery times [4][7]. - The shift to a distribution model reflects a long-term strategic adjustment in response to increasing competition and the need for improved rider retention and user satisfaction [7][18].