Core Insights - The Qingdao Municipal Federation of Trade Unions has implemented a "Special Comprehensive Mutual Assistance Guarantee" program for new employment form workers, providing timely financial support to families affected by accidents [1][2] - This initiative is part of the government's 2025 plan to enhance social welfare, specifically targeting over 200,000 new employment form workers, including truck drivers [1][2] Group 1: Program Implementation - A recent case highlighted the efficiency of the program, where a truck driver’s family received a 100,000 yuan mutual assistance fund through an online application process after the driver died in an accident [1] - The program allows for a seamless online application process, significantly reducing the need for families to navigate bureaucratic hurdles [1] Group 2: Systematic Support - The Qingdao Municipal Federation of Trade Unions initiated the "Warm Action for New Employment Form Workers" in 2021, providing free one-year coverage for major diseases and accidental injuries to new union members [2] - The coverage includes up to 21.5 million yuan for various major diseases and accidents, ensuring comprehensive protection for workers [2] Group 3: Financial Commitment and Services - Over the years, the federation has invested more than 6.6 million yuan to support over 200,000 new employment form workers through this mutual assistance program [3] - Additional services such as free health check-ups, legal assistance, and psychological counseling have been provided, benefiting over 30,000 workers [3]

Core Insights - The report highlights the importance of flexible employment and new employment forms as significant channels for income generation for workers in China, with over 200 million individuals engaged in flexible employment [1][2] Group 1: Labor Rights Protection - The Chinese government is set to introduce measures to protect the rights of workers in new employment forms, aiming to enhance the existing labor rights protection system [1] - During a special action to improve labor rights protection, 79,000 enterprises were inspected, resulting in 14,000 violations being addressed [1] - Collective contracts have been signed in industries such as express delivery and food delivery, covering 13,200 platform enterprises and their partners [1] Group 2: Insurance and Employment Services - As of October 2023, 11 pilot enterprises and 17 provinces are involved in occupational injury insurance trials, with 23.25 million people insured [2] - By the end of 2024, the number of flexible employees participating in basic pension and medical insurance is expected to reach 70.57 million and 66.16 million, respectively [2] - The establishment of over 3,000 one-stop mediation organizations aims to address labor disputes effectively across the country [2] Group 3: Future Initiatives - The government plans to implement a reporting system for platform enterprises' employment conditions and improve regulations on labor rules and algorithms [2] - A three-year plan is in place to expand occupational injury insurance coverage, including more provinces, enterprises, and industries [2] - The government is also working towards the introduction of a medical security law to address gaps in rights protection for relevant workers [2]

人力资源和社会保障部副部长吴秀章受国务院委托向全国人大常委会会议作报告时介绍，灵活就业和新 就业形态已成为我国劳动者就业增收的重要渠道。据测算，我国灵活就业人员规模已超过2亿人。近年 来，各地区各有关部门持续加强党建引领，健全制度机制，优化基本公共服务，妥善处理矛盾纠纷，权 益维护工作取得积极进展。 报告显示，我国加强行政指导监督，新就业形态劳动者劳动权益保障水平提升专项行动期间，全国累计 检查7.9万家企业用工情况，约谈企业8652家次，处理违法行为1.4万次。畅通劳动者诉求表达，目前， 快递、外卖、货运等行业已签订集体合同3576份，覆盖平台企业及其合作企业1.32万家。 （来源：经济参考报） 国务院关于灵活就业和新就业形态劳动者权益保障工作情况的报告12月22日提请全国人大常委会会议审 议。根据报告，我国将抓紧出台新就业形态劳动者权益保障办法，进一步完善灵活就业和新就业形态劳 动者权益保障制度。 报告指出，我国积极推进职业伤害保障试点，截至今年10月底，试点企业共11家，试点省份达17个，累 计2325万人参保。畅通参保缴费渠道，截至2024年底，灵活就业人员参加职工基本养老保险、职工基本 医疗保险的人 ...

Core Insights - The article highlights the challenges and conflicts within the food delivery ecosystem in Guijie, Beijing, involving merchants, delivery riders, and platforms, emphasizing the need for improved communication and collaboration among all parties [1][3][5]. Group 1: Industry Challenges - Guijie, a food landmark in Beijing, features over 130 restaurants with daily active delivery riders exceeding 475 and average orders around 3,000, peaking over 5,000 during busy times, illustrating a tightly interlinked micro-ecosystem [1]. - Conflicts arise as merchants complain about riders pressuring for faster deliveries, while riders blame platform algorithms for strict efficiency requirements, creating a communication barrier among the three parties [1][3]. Group 2: Research and Findings - In April, the Dongcheng District Human Resources and Social Security Bureau initiated a comprehensive research plan to identify core issues affecting delivery riders and merchants, collecting 119 valid survey responses [2]. - The research revealed 13 key demands from riders and 15 development needs from merchants, pinpointing critical pain points such as slow food preparation leading to penalties and difficulties in defining responsibility for food damage [2]. Group 3: Collaborative Solutions - A "Rider-Merchant Negotiation Meeting" was organized in May, where representatives from both sides discussed their grievances, resulting in the establishment of 7 merchant norms and 8 rider guidelines to improve cooperation [3][4]. - On August 1, major platforms like Meituan and Ele.me (now known as Taobao Shangu) participated in negotiations, addressing issues such as penalty adjustments during extreme weather and improving response times for complaints [4][5]. Group 4: Implementation of Changes - New technologies, such as "smart delivery boxes," have been introduced to streamline the pickup process, significantly reducing confusion and errors in order retrieval [6]. - The algorithms used by platforms have been modified to prioritize average delivery times rather than the fastest, with adjustments made for adverse conditions, leading to the cancellation of late penalties in Beijing [6]. Group 5: Outcomes and Future Directions - The number of delivery disputes has decreased, indicating a positive shift in the delivery ecosystem, with the collaborative approach serving as a model for improving labor rights for new employment forms [7]. - The "Guijie model" demonstrates a successful framework for government guidance, platform accountability, and multi-party participation in addressing labor issues within the food delivery industry [7].

Core Viewpoint - Algorithm negotiation is an important practice to improve the labor relations negotiation and coordination mechanism, promoting the transition from unilateral control to multi-party governance, and establishing a new paradigm for labor relations governance in the digital age [1] Group 1: Current State of Labor Relations - New employment form workers have become a significant force in the labor market, with the government emphasizing the protection of their rights [1] - The algorithm used by platforms significantly impacts workers' work pace and rights protection, leading to challenges such as compressed delivery times and lack of transparency in commission rates [1] - As of this year, 15 leading platform companies have been included in the algorithm negotiation initiative, with expected coverage of over 20 million new employment form workers [1] Group 2: Challenges in Rights Protection - The dual impact of "de-laborization" in the platform economy and algorithmic monopolization has created numerous challenges for the rights protection of new employment form workers [2] - Platforms implement "invisible control" through algorithms, making rules for order distribution, salary calculation, and performance assessment unilaterally defined by the companies [2] - Many workers report a lack of transparency in algorithm rules, leaving them in a passive position regarding their rights [2] Group 3: Value of Algorithm Negotiation - Algorithm negotiation is a crucial practice to fulfill the requirement of improving labor relations negotiation mechanisms as proposed by the 20th National Congress [3] - It transforms the logic of rule-making from unilateral corporate decisions to multi-party governance, aligning with the goal of promoting win-win development among platform companies, operators, and workers by 2026 [3] - The negotiation ensures workers' rights to information and participation, with some platforms holding national algorithm negotiation meetings to enhance transparency [4] Group 4: Practical Pathways for Algorithm Negotiation - To effectively implement algorithm negotiation, a comprehensive rights protection system involving unions, corporate responsibility, multi-party participation, and institutional guarantees is necessary [6] - Unions play a critical role in organizing workers and facilitating negotiations, ensuring that frontline worker representation is significant [6] - Companies must take responsibility by integrating worker feedback into algorithm development and establishing rigid standards for wages and benefits [6] Group 5: Institutional Support and Long-term Sustainability - Institutional guarantees and third-party supervision are essential for the long-term sustainability of algorithm negotiation [7] - Legislative measures should clarify the legal status of algorithm negotiation and incorporate it into collective contracts and democratic management systems [7] - Regulatory bodies should conduct compliance reviews of algorithms, focusing on fairness and reasonableness in commission rates and reward rules [7]

Core Viewpoint - The article discusses the challenges and solutions in the food delivery ecosystem in Guijie, Beijing, highlighting the collaboration between delivery riders, merchants, and platforms to improve service efficiency and address grievances [1][18]. Group 1: Current Situation - Guijie spans 1472 meters with over 130 food vendors, averaging 3000 daily orders and over 475 active delivery riders, showcasing a tightly linked micro-ecosystem of "merchants - riders - platforms" [1]. - Conflicts arise among the three parties, with merchants blaming riders for urgent order requests, riders criticizing platform algorithms, and platforms focusing on efficiency and user experience [1]. Group 2: Research and Findings - In April, the Dongcheng District Human Resources Bureau initiated a comprehensive research plan to identify the root causes of delivery issues [3]. - A survey covering delivery processes and rights protection collected 119 valid responses, revealing that riders prioritize avoiding penalties and faster food preparation over social security concerns [5][6]. - The research team identified 13 core demands from riders and 15 needs from merchants, focusing on issues like slow food preparation leading to penalties and unclear responsibility for food damage [6]. Group 3: Negotiation and Collaboration - The first "Rider-Merchant Negotiation Meeting" was held on May 9, allowing representatives from both sides to voice their concerns [8]. - The meeting resulted in 7 merchant norms and 8 rider guidelines, including commitments to set up dedicated pickup areas and improve order accuracy [10]. - A collaborative initiative, the "Guijie Business Circle Delivery Harmony Ecological Initiative," was established to address conflicts through 15 self-regulatory measures [10]. Group 4: Platform Involvement - On August 1, major delivery platforms were invited to negotiate, marking a shift from isolated communication to collaborative discussions [13]. - Platforms committed to optimizing order algorithms based on historical data, improving response times for complaints, and gradually eliminating penalties for late deliveries [13]. Group 5: Outcomes and Improvements - The implementation of "smart delivery lockers" has improved the efficiency of food pickup, reducing confusion and errors [15]. - The algorithm changes have led to a more realistic estimation of delivery times, especially during adverse weather conditions, with platforms like Meituan and Ele.me (now Taobao Shangu) eliminating late delivery penalties in Beijing [16]. - Complaints related to delivery disputes have significantly decreased, indicating a positive shift in the delivery ecosystem [14][18].

2025.12. 20 本文字数：2093，阅读时长大约4分钟 封面｜ 付楠楠（左）与骑手交流 作为北京的美食地标，簋街1472米的街巷里，聚集着130余家餐饮商户，日均活跃外卖骑手超475 人次，日均订单3000单、高峰期突破5000单，构成了"商家——骑手——平台"紧密联动的微观生 态，也成了外卖行业矛盾的集中缩影。 "总有12345的派件和派出所的报警，商家怨骑手催单太急，骑手怪平台算法太严，平台说要保效 率、保用户体验。"北新桥街道办事处副主任龙凤这样描述这一矛盾，"三方都有难处，却似隔着一 道信息壁垒。" 今年4月起，北京市东城区人社局携手北新桥街道，开始"破题"。 副局长骑上电动车 体验一线送餐 打破僵局的第一步，是到一线找问题根源。 今年4月份一开始，东城区人社局副局长付楠楠就牵头设计了一整套立体式调研方案。 极端天气平台给不给补贴？平均等餐多久？会不会被要求集中取餐？这份涵盖送餐过程、权益保障、 优化服务链条等多个板块的问卷，最终回收了119份有效样本。 今年6月，付楠楠戴上头盔、跨上电动车，跟着老骑手穿梭在街巷里。后厨里厨师们挥汗如雨的忙碌 场景、取餐时"马上就好"的模糊答复、超时后平台扣款 ...

（原标题：副局长送外卖） 来源：北京日报 原标题：北京一副局长送外卖，亲身体会到骑手焦虑 作为北京的美食地标，簋街1472米的街巷里，聚集着130余家餐饮商户，日均活跃外卖骑手超475人次， 日均订单3000单、高峰期突破5000单，构成了"商家——骑手——平台"紧密联动的微观生态，也成了外 卖行业矛盾的集中缩影。 "总有12345的派件和派出所的报警，商家怨骑手催单太急，骑手怪平台算法太严，平台说要保效率、保 用户体验。"北新桥街道办事处副主任龙凤这样描述这一矛盾，"三方都有难处，却似隔着一道信息壁 垒。" 今年4月起，北京市东城区人社局携手北新桥街道，开始"破题"。 副局长骑上电动车 体验一线送餐 打破僵局的第一步，是到一线找问题根源。 今年4月份一开始，东城区人社局副局长付楠楠就牵头设计了一整套立体式调研方案。 付楠楠（左）与骑手交流 极端天气平台给不给补贴？平均等餐多久？会不会被要求集中取餐？这份涵盖送餐过程、权益保障、优 化服务链条等多个板块的问卷，最终回收了119份有效样本。 "我们原本以为骑手最关心社保政策，没想到他们张口就是'别罚我款''出餐能不能快一点'。这个巨大落 差给我和调研组的同志们留 ...

来源：北京日报 原标题：北京一副局长送外卖，亲身体会到骑手焦虑 作为北京的美食地标，簋街1472米的街巷里，聚集着130余家餐饮商户，日均活跃外卖骑 手超475人次，日均订单3000单、高峰期突破5000单，构成了"商家——骑手——平台"紧 密联动的微观生态， 也成了外卖行业矛盾的集中缩影。 " 总有12345的派件和派出所的报警， 商家怨骑手催单太急，骑手怪平台算法太严，平台 说要保效率、保用户体验。"北新桥街道办事处副主任龙凤这样描述这一矛盾， "三方都有 难处，却似隔着一道信息壁垒。" 今年4月起，北京市东城区人社局携手北新桥街道，开始"破题"。 副局长骑上电动车 体验一线送餐 打破僵局的第一步，是 到一线找问题根源。 今年4月份一开始， 东城区人社局副局长付楠楠 就牵头设计了一整套立体式调研方案。 团队最终梳理出13项骑手核心诉求、15项商家发展需求， 形成翔实的专项报告，精准锁定 了"出餐慢致超时罚""餐损责任界定难"等核心痛点。 骑手、商家、平台 首次同桌"谈判" 付楠楠（左）与骑手交流 摸清问题后，协商成了关键一步。 5月9日，街道组织首场 "骑商协商会"。 龙凤特意筛选3名敢说会说的资深骑手， ...

今年4月份一开始，东城区人社局副局长付楠楠就牵头设计了一整套立体式调研方案。 今年4月起，东城区人社局携手北新桥街道，开始"破题"。 副局长骑上电动车体验一线送餐 打破僵局的第一步，是到一线找问题根源。 转自：北京日报客户端 作为北京的美食地标，簋街1472米的街巷里，聚集着130余家餐饮商户，日均活跃外卖骑手超475人次， 日均订单3000单、高峰期突破5000单，构成了"商家——骑手——平台"紧密联动的微观生态，也成了外 卖行业矛盾的集中缩影。 "总有12345的派件和派出所的报警，商家怨骑手催单太急，骑手怪平台算法太严，平台说要保效率、保 用户体验。"北新桥街道办事处副主任龙凤这样描述这一矛盾，"三方都有难处，却似隔着一道信息壁 垒。" 极端天气平台给不给补贴？平均等餐多久？会不会被要求集中取餐？这份涵盖送餐过程、权益保障、优 化服务链条等多个板块的问卷，最终回收了119份有效样本。 今年6月，付楠楠戴上头盔、跨上电动车，跟着老骑手穿梭在街巷里。后厨里厨师们挥汗如雨的忙碌场 景、取餐时"马上就好"的模糊答复、超时后平台扣款的提示，让她亲身体会到骑手"靠单吃饭"的焦虑。 "我们原本以为骑手最关心社保政策， ...