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从“催单”到“提醒休息”,140万名司机权益有了“防护盾”
Nan Jing Ri Bao· 2025-10-13 02:44
Core Insights - The case of "Nanjing Municipal Federation of Trade Unions Promoting Algorithm Negotiation to Protect the Legal Rights of Ride-Hailing Drivers" has been recognized as a significant innovation in labor rights protection for new employment forms, marking the first collective agreement on platform algorithms and labor protection in the country, covering 1.4 million drivers on the T3 platform [1] Group 1: Issues Faced by Drivers - Drivers reported a decrease in hourly income by 5 to 10 yuan compared to two years ago, despite working an average of 10 hours online daily [1] - The lack of transparency in algorithmic deductions and the unilateral nature of rule changes by the platform were highlighted as major concerns, leading to a phenomenon termed "algorithmic hegemony" [1] - Drivers face practical challenges such as difficulties in finding food, charging stations, and rest due to their dispersed work locations [1] Group 2: Collaborative Efforts and Solutions - A special working group was formed by the Nanjing Municipal Federation of Trade Unions in collaboration with various government departments to address these issues, designating T3 as the first pilot platform for algorithm negotiation [1] - A negotiation meeting was held on July 17, where driver representatives confronted platform executives, leading to commitments from the platform regarding compensation for empty trips and transparency in commission deductions [2] - The signed agreement includes key breakthroughs such as setting a cap on commission rates, mandatory rest periods, and a feedback mechanism for rule changes, ensuring ongoing driver input in platform operations [2] Group 3: Implementation and Monitoring - A multi-faceted supervision model has been established, combining online monitoring, offline visits, and hotline feedback to ensure compliance with the agreement [2] - The platform has committed to quarterly algorithm negotiation meetings to continuously integrate driver demands into rule optimization [2] - Drivers have reported positive changes in the app, such as real-time rewards during peak hours and fatigue reminders, indicating a shift towards a more supportive working environment [2]