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阶段性提高地方财政留用比例,新增1100亿全部留给县级,减免出租车“份子钱”……国务院再出大招
Mei Ri Jing Ji Xin Wen· 2025-11-24 08:07
每经记者|周程程 每经编辑|陈旭 3月3日,国务院总理李克强主持召开国务院常务会议,部署完善"六稳"工作协调机制,有效应对疫情影响促进经济社会平稳运行;确定支持交通运输、快递 等物流业纾解困难加快恢复发展的措施;决定加大对地方财政支持,提高保基本民生保工资保运转能力。 《每日经济新闻》记者注意到,在推动交通运输、快递等物流业加快复工复产方面,会议提出加大减税降费力度等一揽子举措的同时,还将眼光聚焦在出租 车司机群体,鼓励各地采取阶段性减免"份子钱"等措施,帮助出租汽车司机渡过难关。 为了支持基层政府保基本民生、保工资、保运转,会议还确定,阶段性提高地方财政留用比例。3月1日至6月底,在已核定的各省份当年留用比例基础上统 一提高5个百分点,新增留用约1100亿元资金,全部留给县级使用。 帮助出租车司机群体渡过难关 出租车为人们出行提供了便利,但受疫情影响,乘客数量锐减,为保障一些乘客必要的交通出行需求,许多出租车司机仍行驶在路上。因空座时间较长,出 租车司机收入锐减。 受疫情影响的出租车司机群体庞大。数据显示,截止到2018年底,全国共拥有出租汽车139万辆,年完成客运量352亿人次,占了整个全国城市客运量的 ...
北京已完成除社会保障和个体车辆外巡游出租车100%新能源化
Xin Jing Bao· 2025-11-20 04:27
在巡游出租汽车新能源化方面,为全面落实加强生态环境保护、打赢蓝天保卫战的决策部署,北京市 2019年启动巡游出租汽车"油换电"工作。7年来,市交通部门会同市相关部门统筹协调各方资源,稳步 推动工作落地。全市206家出租汽车企业报废燃油出租汽车5.4万辆,更新和新增纯电动车6.1万辆,换电 站建设和服务保障实现与车辆增长动态匹配。 新京报讯 据"北京交通"微信公众号消息,11月19日下午,北京市出租汽车行业在北京城市副中心举 办"建功新时代 星光映万家"主题交流活动。据了解,目前北京已完成除社会保障和个体车辆外的巡游 出租汽车100%新能源化。 近年来,北京市出租汽车行业梳理从业环境、权益保障、服务流程等8类31个具体问题,研究形成33条 针对性措施。 在公益服务方面,北京市出租汽车行业坚持开展"温暖回家路""爱心送考"等爱心公益活动。"温暖回家 路"已连续开展十五年,在春运返乡高峰为乘客提供暖心服务;"爱心送考"坚持十八年,为广大考生准 时、安全抵达考场提供保障。 为进一步改善驾驶员运营条件,市交通委、市重点站区管委会、市交通运输工会持续推进司机小站建 设。目前,全市已建成27座功能完善、覆盖广泛的司机小站, ...
从“怕被宰”到“即退费”的安心之旅——广州市纪委监委推动出租车“违约先行退费”落地见效
Guang Zhou Ri Bao· 2025-10-29 02:21
Core Points - The article discusses the implementation of a "pre-refund" mechanism for taxi services in Guangzhou, aimed at improving service quality and addressing consumer complaints [6][11] - The initiative is part of a broader effort by the Guangzhou Municipal Commission for Discipline Inspection and Supervision to enhance the business environment and tackle corruption [5][10] Group 1: Mechanism Implementation - The "pre-refund" mechanism allows passengers to receive refunds quickly if they encounter issues such as fare negotiation or overcharging, with complaints processed within one working day [7][9] - The mechanism has been adopted by over 58 taxi companies in Guangzhou, covering more than 96% of operational vehicles in the industry [8][9] Group 2: Impact on Service Quality - Since the implementation of the "pre-refund" mechanism, complaints related to taxi services have significantly decreased, with a reported 11% drop during the 137th Canton Fair and a 22% decrease during the summer travel season compared to the previous year [11] - The initiative has improved the overall service quality and consumer trust in the taxi industry, as evidenced by positive feedback from passengers [9][11] Group 3: Regulatory Oversight - The Guangzhou Municipal Commission for Discipline Inspection and Supervision has intensified supervision of the taxi industry, focusing on issues such as fare disputes and illegal practices [5][6] - The regulatory body employs data analysis and real-time monitoring to ensure compliance and address consumer grievances effectively [10][11]
南京拟推“巡网一体”试点,巡游车与网约车将数据打通融合接单
Yang Zi Wan Bao Wang· 2025-10-13 14:46
Core Viewpoint - The taxi industry in Nanjing is set to undergo significant changes with the introduction of a new model called "integrated operation of traditional and online taxis," allowing traditional taxis to operate on ride-hailing platforms with equal rights and pricing as ride-hailing services [1][2]. Group 1: New Regulations and Framework - The Nanjing Municipal Transportation Bureau is actively seeking public opinions on the revised "Nanjing Online Ride-Hailing Taxi Management Measures," which addresses issues such as platform algorithm rules, fare rationality, platform regulation, and driver rights protection [1][4]. - The revised regulations aim to enhance the management of the ride-hailing industry, which has evolved since the original measures were implemented in 2017, to better meet the demands of economic development and public transportation needs [4]. Group 2: Integrated Operation Model - The "integrated operation" model differs from the previous "fusion" approach by treating it as a new business category, allowing for data sharing between traditional taxis and ride-hailing services, thus enabling the acceptance of both types of orders [1][2]. - Participating companies in the pilot program will be selected based on their scale and creditworthiness, with 3 to 5 companies recommended by the Nanjing Taxi Association from those rated AAA in 2024 [1]. Group 3: Key Focus Areas of the Revised Measures - The revised measures focus on four main areas: protecting the labor rights of ride-hailing drivers, regulating platform operations, maintaining fair market competition, and enhancing regulatory efficiency [4]. - Specific provisions include clarifying labor relations and compensation rules, regulating platform commission and information disclosure, ensuring driver autonomy in accepting orders, and improving social security and occupational protection [4].
一周要闻·阿联酋&卡塔尔|迪拜新推“自由区内地运营许可证”将带动跨辖区业务增长20%/卡塔尔港口9月转运量增长12%
3 6 Ke· 2025-10-13 04:21
Group 1: Autonomous Driving and Low Altitude Economy - The fourth Dubai World Autonomous Driving Congress highlighted that 25% of transportation in Dubai is expected to be automated by 2030, with a further increase to 36% by 2040 [2] - Chinese companies, including Pony.ai, WeRide, and Loong Air, are leading the autonomous driving sector in Dubai, providing testing autonomous taxis for the autonomous driving zone [2] - The DroneTech Dubai 2025 event showcased over 150 exhibitors from more than 40 countries, with the MENA region's low-altitude economy projected to grow to $22-26 billion by 2030, reflecting a compound annual growth rate exceeding 35% [2] Group 2: Aviation and Manufacturing Developments - COMAC (China Commercial Aircraft Corporation) will make its debut at the Dubai Airshow in November, indicating the importance of the Gulf region as a growth market for aircraft manufacturers [3] - China South Glass Group plans to invest 300 million dirhams to establish its first overseas smart manufacturing plant in Abu Dhabi, focusing on energy-efficient glass production with an expected annual output exceeding 5 million square meters [3] Group 3: Economic Policies and Business Growth - Dubai introduced the "Free Zone Mainland Operating Permit," allowing free zone companies to operate in the mainland, which is expected to boost cross-jurisdiction business growth by approximately 20% [4] - As of September 30, 2025, the UAE's corporate tax registration exceeded 640,000, facilitated by the EmaraTax digital platform, enhancing tax compliance and regulatory efficiency [4] Group 4: Real Estate Market Performance - Dubai's real estate market reached a historic high in Q3 2025, with total sales nearing 500 billion dirhams, marking a 32.3% year-on-year increase in transaction value [5] - Ajman’s real estate sales surged by 53% in September 2025, reaching 2.97 billion dirhams (approximately $809 million), indicating strong market growth [5] Group 5: Electric Vehicle Infrastructure - Dubai's electricity and water authority, DEWA, is collaborating with several companies to establish a comprehensive electric vehicle charging network, planning to build over 1,500 green charging stations [6] Group 6: Qatar's Economic Indicators - Qatar's Hamad, Ruwais, and Doha ports reported a 12% increase in transshipment volume in September, with a total of 1.11 million TEUs processed from January to September [7] - Qatar's foreign exchange reserves grew by 3.08% year-on-year in September 2025, reaching 261.05 billion riyals, with official international reserves increasing by 3.73% [7]
武汉无人驾驶出租车的成绩单
Zhong Guo Qi Che Bao Wang· 2025-10-11 08:39
Core Insights - Wuhan is a pioneer in China's autonomous taxi industry, having started testing operations on June 30, 2022, and officially launched commercial operations in September 2022. As of May 15, 2024, the company "Luo Bo Kuaipao" has deployed 1,000 sixth-generation autonomous vehicles for large-scale commercial operations [1][2]. Group 1: Operational Performance - Wuhan has over 1,000 autonomous taxis, with more than 700 actively carrying passengers and over 300 in testing. The average daily orders exceed 20, with an average daily driving distance of approximately 200 kilometers, covering major urban areas [1][2]. - The maximum speed of Wuhan's autonomous taxis is 51 km/h, with an average speed of about 13 km/h, which has not caused significant traffic issues. Overall, the safety performance of these autonomous taxis surpasses that of human-driven vehicles [2]. Group 2: Safety and Comfort - The autonomous taxis have recorded zero collision incidents and zero active thefts, with over 30 passive conflicts and three traffic rule violations. The longest recovery time after a failure is 48 seconds, with a 100% recovery success rate [1][2]. - However, there are comfort issues, such as sudden acceleration at startup and abrupt deceleration during conflict avoidance, which can create a noisy environment for passengers [2]. Group 3: Challenges and Improvements - Despite good overall performance, there are still shortcomings, such as failures in lane-changing maneuvers and overly cautious behavior in complex scenarios, which can lead to traffic congestion and discomfort compared to human driving [3][4]. - The "long-tail problem" in unconventional scenarios is identified as a bottleneck for the large-scale application of autonomous driving technology. This includes issues with sudden failures and the need for improved comfort levels [4]. Group 4: Future Directions - The transition to Level 3 (L3) autonomous driving, which allows conditional autonomous driving while still requiring driver intervention, is a key focus. Research is ongoing regarding the dynamic allocation of driving rights between human drivers and autonomous systems [4][5]. - The development of AI models is expected to accelerate the iteration of end-to-end autonomous driving technology, with a significant increase in traffic data enabling a closed-loop for all scenarios. The industry is encouraged to pursue a collaborative approach involving government, research institutions, and industry leaders to promote the large-scale application of autonomous vehicles [5].
出租车补助来了,广州最新公示,标准约2709元/年/车
Nan Fang Du Shi Bao· 2025-10-11 05:25
Core Points - Guangzhou's Transportation Bureau has announced the distribution plan for the 2024 urban transportation development reward funds for the taxi industry, focusing on subsidies for electric taxis and taxi companies [1][2] - The subsidy for pure electric taxis is set at 2709.43 yuan per year per vehicle, with payments made to taxi companies for distribution to drivers [1] - The distribution plan includes adjustments for vehicles with less than one year of operational time, calculating subsidies based on actual operational months [1] - The total reward funds allocated for various districts include 47,728,794.16 yuan for the main city and smaller amounts for surrounding districts, with funds distributed based on the number of operational electric vehicles [2] Vehicle Subsidy Details - The subsidy for electric taxis is calculated based on the actual operational months, with an example provided where a vehicle operating for 6 months would receive 1354.72 yuan [1] - The distribution of funds to taxi companies will be managed by the Guangzhou Transportation Bureau, with specific procedures for districts like Huadu, Panyu, Nansha, Conghua, and Zengcheng [1] Company Subsidy Structure - Companies holding valid road transport operating licenses with operational vehicles are eligible for subsidies, which are distributed based on the number of electric vehicles [2] - The total funds for companies are divided into two parts: 50% based on the number of electric vehicles and the other 50% linked to service quality assessment scores [2] - The subsidy aims to stabilize the taxi industry, promote public transportation, and support energy-saving and emission reduction initiatives [2]
出租车补助来了 广州最新公示 标准约2709元/年/车
Nan Fang Du Shi Bao· 2025-10-11 05:16
Core Points - Guangzhou Municipal Transportation Bureau announced the distribution plan for the 2024 urban transportation development reward funds for the taxi industry, focusing on subsidies for electric taxis and companies [1][5] Vehicle Subsidies - The subsidy standard for pure electric taxis is set at 2709.43 yuan per year per vehicle, which will be distributed to taxi companies and then to the corresponding drivers [1][5] - For vehicles with less than one year of actual operation due to new additions, replacements, or withdrawals, the subsidy will be calculated based on the actual months of operation [4] - For example, a vehicle operating for 6 months will receive a subsidy of 1354.72 yuan, calculated as 2709.43 yuan multiplied by 6 months divided by 12 [4] Company Subsidies - The subsidy targets taxi companies with valid operating licenses and existing operational vehicles in 2024 [4] - The total funds allocated to the main city and five districts (Huadu, Panyu, Nansha, Conghua, and Zengcheng) are as follows: 47,728,794.16 yuan for the main city, 759,202.88 yuan for Huadu, 1,866,201.80 yuan for Panyu, 119,472.81 yuan for Nansha, 230,822.57 yuan for Conghua, and 124,471.78 yuan for Zengcheng [4] Distribution of Company Funds - The funds allocated to companies are divided into two parts: 50% (23,864,402.11 yuan) will be distributed equally based on the number of electric vehicles, with a subsidy of 1499.66 yuan per vehicle per year [5] - The remaining 50% (23,864,392.05 yuan) will be linked to the companies' service quality evaluation scores [5] - The subsidy aims to stabilize the taxi industry, prioritize public transportation development, and promote sustainable and high-quality growth in the taxi sector [5]
出租车主擅自调整计价器致挂靠公司被行政处罚
Ren Min Wang· 2025-10-11 00:49
Core Viewpoint - The actual owners of the taxis are held primarily responsible for the administrative penalties due to unauthorized adjustments of the taxi meters, despite their claims of "industry unwritten rules" [1][3]. Summary by Sections Contractual Agreement - In 2022, individuals Tan and Yang signed an agreement with Tian Company to transfer ownership of a taxi while retaining operational rights, requiring them to pay management fees [1]. Administrative Penalty - Tian Company was fined 50,000 yuan for tampering with the taxi meters, which resulted in inflated fare displays, constituting a violation of measurement accuracy and consumer rights [2]. Court Ruling - The Chongqing Second Intermediate Court ruled that Tan, Yang, Liu, and Jia, as the direct controllers of the vehicles, are primarily responsible for the illegal adjustments, while Tian Company bears secondary responsibility due to management failures [3]. Industry Implications - Unauthorized meter adjustments harm consumer rights and disrupt market order, leading to decreased public trust in the taxi industry and damaging its reputation [4].
重磅深度:Robotaxi正重塑汽车出行市场
2025-09-26 02:28
Summary of Robotaxi Industry Research Industry Overview - **Industry**: Robotaxi and Autonomous Driving - **Market Opportunity**: Robotaxi is identified as a significant market opportunity in the next 1-2 years, driven by AI investment and technological innovation in shared mobility [1][2] Key Insights - **Valuation Methodology**: The valuation of Robotaxi should adopt innovative methods focusing on the revenue-generating capabilities of the intelligent agents, specifically their ownership and capability levels. The market may underestimate the potential of physical world large models in complex tasks. A single Robotaxi is valued at a minimum of 3 million yuan in China [1][3][4] - **Market Size Projections**: The Robotaxi market is projected to reach 80 billion yuan by 2030 and grow to 700 billion yuan by 2035, with an estimated fleet size of 500,000 units by 2030 and 2.5 million units by 2035 [3][11] - **Cost Analysis**: The total annual cost of private passenger vehicles in China is approximately 10 trillion yuan, while the shared mobility market is only 1/12 of this size, indicating a vast potential for Robotaxi [1][10] Investment Opportunities - **Focus Areas**: Investment opportunities are primarily in software rather than hardware. Key players include Xiaopeng Motors, Horizon Robotics, and Cao Cao Mobility. Attention is also drawn to new listings such as Pony.ai and Momenta, as well as chip companies like Horizon and Heiseman [1][5] - **Business Model Evolution**: The Robotaxi era will see a shift in business models, dividing into four segments: intelligent driving technology, vehicle production, vehicle management, and user operations, enhancing resource allocation and operational efficiency [1][8][9] Market Dynamics - **Market Structure**: The ride-hailing market is characterized by a "one strong, many strong" structure, with Didi Chuxing holding a 70.4% market share. The aggregation platform's order share is expected to grow from 25-30% to 50% by 2029 [3][22][24] - **Revenue Distribution**: In the transition from ride-hailing to autonomous driving, revenue distribution among roles remains relatively stable, with algorithm suppliers taking 50%, operational platforms 30%, and car rental companies 20% [12] Historical Context - **Evolution of Shared Mobility**: The shared mobility market has undergone three iterations: the fixed-point car concept, the cruising car model, and the ride-hailing model, leading to the current Robotaxi era [6][19] Regulatory and Technical Feasibility - **Regulatory Framework**: The development of Robotaxi is supported by evolving policies, including the establishment of a unified "vehicle-road-cloud" system by 2026, with 20 cities participating in pilot projects [28] - **Technical Advancements**: The feasibility of Robotaxi is bolstered by advancements in L4 to L5 autonomous driving technology, with companies like Pony.ai leading in sensor integration and cost reduction [28][32] Competitive Landscape - **Key Players**: Major domestic players include Didi, Cao Cao Mobility, and Pony.ai, with international competitors like Waymo and Uber also involved in the market. Didi plans to launch its first Robotaxi in 2025 [33][34] - **Traditional Automakers**: Traditional car manufacturers like Tesla and Xiaopeng Motors are transitioning from L2+ to L4 capabilities, with plans for Robotaxi services in the near future [34] Future Outlook - **Market Potential**: The Robotaxi market is expected to grow significantly, with valuation methods shifting from traditional metrics to those based on the capabilities of intelligent agents, marking a new investment frontier in the physical world [35]