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20260813 203300 UTC
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[00:01:35] Good evening, dear audience friends. Welcome to the live broadcast of News One Family. In Kunshan, Jiangsu,
[00:01:39] there was once a delivery rider who wrote a poem like this.
[00:01:43] He said, "Drive the wind out of the air, drive the knife
[00:01:46] out of the wind, drive the fire out of the bones, drive the water
[00:01:50] out of the fire." People who are in a hurry have no seasons, only one stop and the next
[00:01:54] stop. The title of this poem is "People in a Hurry." He
[00:01:58] said in an interview with a reporter:
[00:04:00] Currently, the first batch of road tests for "stop and go at red lights" has been completed. In Beijing's Chaoyang District,
[00:04:03] Tongzhou District, and the Economic and Technological Development
[00:04:07] Zone, some roads have been the first to access traffic data. Next,
[00:04:11] the traffic management department will share traffic light data with the platform,
[00:04:15] enabling a pause in the timeliness assessment when riders are waiting
[00:04:19] at red lights. This requires two key capabilities.
[00:04:23] The first part is the countdown data of traffic lights. We can see a countdown
[00:04:26] at traffic lights, starting from 20.
[00:06:12] Also in Beijing, to reduce costs and increase efficiency for food delivery businesses,
[00:06:16] all parties finally reached a consensus on optimizing subsidies, charging rational
[00:06:20] marketing, service guarantees, and regulated delivery management.
[00:06:24] And today's second negotiation meeting
[00:06:27] on promoting platform algorithm optimization, in addition to stopping at red lights,
[00:06:31] there are many other measures, such as when calculating delivery
[00:06:35] time, for those who deliver by electric bicycle, the average speed
[00:06:39] should not exceed 15 kilometers per hour.
[00:08:13] Director Wang Bo of the Network Transaction Supervision
[00:08:16] and Management Department of the Beijing Municipal Market Supervision and Administration Bureau.
[00:08:20] We saw today that the three platforms, of course, all focused on
[00:08:24] optimizing their algorithms. And we saw that the media also reported many things,
[00:08:28] including stopping at red lights, including the speed of food delivery riders
[00:08:32] not exceeding 15 kilometers per hour, including that the merchant's
[00:08:35] slow delivery will not affect their service score
[00:08:39] and so on and so forth. So, it seems that all measures.
[00:09:01] Among them, what riders are most concerned about is the algorithm's
[00:09:04] calculation of delivery time for riders. Riders
[00:09:08] have put forward many requests, such as
[00:09:11] those from riders.
[00:09:34] After receiving these requests, we also promptly contacted the food delivery platforms, and the food delivery platforms were also very proactive in supporting and putting forward some related measures. So, this
[00:09:37] topic, the algorithm, that is, the calculation for
[00:09:41] food delivery riders, is mainly closely related to the rider's delivery time,
[00:09:45] because the algorithm calculates the rider's assessment time,
[00:09:48] and the rider's assessment time is related to the rider's
[00:09:52] service score and some income,
[00:09:55] and the income situation also has a certain correlation, so in
[00:09:59] this regard, riders are very, very concerned. Of course, this measure is in place, but the next step is
[00:10:03] implementation, because we know that to truly implement this measure, we may
[00:10:07] still encounter many incidental situations
[00:10:11] in practice, such as, if this signal, this GPS signal is blocked by buildings,
[00:10:15] what should we do? For example, if there is a calculation error
[00:10:19] in the additional time calculation,
[00:10:23] what should we do? For example, identification.
[00:10:55] For example, if there is some signal obstruction
[00:10:58] and some equipment failures, leading
[00:11:02] to inaccurate identification, then
[00:11:06] the rider can easily appeal to the platform
[00:11:09] through the App, and the platform will provide corresponding compensation.
[00:11:13] If the platform believes that these compensations are indeed
[00:11:17] necessary, it may even not classify these
[00:11:21] delivery orders as overdue, which can greatly.
[00:11:55] reduce costs and increase efficiency.
[00:11:56] In terms of
[00:12:00] evaluation, how to optimize it. So why this time we chose
[00:12:04] optimizing the algorithm as the main topic. Currently,
[00:12:08] regarding the rights and interests of riders, what aspects of the platform's algorithm are most important
[00:12:12] to optimize? Riders
[00:12:15] who are busy running around the city every day are our
[00:12:18] very close partners since we entered the digital age.
[00:12:22] From the perspective of protecting the rights of new employment groups, our Beijing Municipal
[00:12:26] Government has also introduced many measures, such as our "one bed, one room"
[00:12:30] campaign, allowing riders to sleep peacefully, and also the "caring
[00:12:34] station" project, allowing riders to eat cheaper
[00:12:38] and safer food. But through rider surveys, we found that
[00:12:41] the riders' most important state is still on the road. So,
[00:12:45] their riding state on the road not only concerns the riders'
[00:12:49] own safety, but also concerns the entire
[00:12:53] city, pedestrians, and roads.
[00:14:25] This also ensures the food safety of our capital's residents, allowing
[00:14:28] consumers to eat more at ease and more confidently.
[00:14:31] Hmm, so next is
[00:14:35] why this kind of consultative dialogue approach
[00:14:39] to governance is adopted, compared to traditional supervision and law
[00:14:43] enforcement methods in the past. What do you think are the differences
[00:14:47] in the role this method plays? Today,
[00:14:50] the use of a consultative control approach is actually
[00:14:54] one of our challenges in algorithm supervision
[00:14:58] in the early stages of our supervision. In the process of algorithm supervision,
[00:15:00] we have always faced several difficulties. The first
[00:15:04] is difficulty in acquisition. Platforms regard some core
[00:15:08] algorithms as their core business secrets. The second
[00:15:12] is difficulty in analysis. Each platform's algorithm
[00:15:16] consists of hundreds of millions of lines
[00:15:19] of code. And various
[00:15:23] kinds of.
[00:15:39] particularly clear, for example, regarding the delivery time for riders, whether it is 25 minutes, 30 minutes,
[00:15:43] or 40 minutes, this cannot be strongly regulated from a legal perspective.
[00:15:47] The fourth aspect is actually that the timing of regulation is also very difficult. Too
[00:15:51] early intervention may affect the development of the industry, but too late
[00:15:55] intervention may bring some risks. So this time, we use
[00:15:58] the concept of consultative control, which means we adopt flexible regulation.
[00:16:02] In fact, government regulation and social governance,
[00:16:06] in the past year or so, "anti-involution" has become the keyword of our country's economic work. The involution of the platform economy
[00:16:46] not only involves itself, but also involves competitors,
[00:16:50] and merchants, especially some food delivery platform
[00:16:54] companies, for a considerable period of time, in order to compete for
[00:16:57] timely retail traffic portals, repeatedly launched "hundreds of millions of subsidies,"
[00:17:01] "large coupons" and other food delivery large subsidy activities, intensifying
[00:17:05] the involution of the catering market.
[00:17:08] When platforms mainly focus on low-price promotions, merchants
[00:17:11] can ostensibly choose whether to participate in subsidies, but if
[00:17:15] they don't participate, there will be no traffic. Then merchants often have no choice but to participate in subsidies.
[00:17:19] However, once they participate in subsidies, merchants may see an increase
[00:17:22] in order volume, but the actual profit may not increase. And the
[00:17:26] final data shows that not only did the three major food delivery platforms all pay
[00:17:30] the price of a sharp drop in net profit, more importantly, the vast number of small and medium-sized
[00:17:34] businesses forced to participate also differ.
[00:21:20] at the scene of this consultation and dialogue meeting, I would like to know, for example,
[00:21:23] in your impression, what conversations or dialogues left
[00:21:27] a particularly deep impression on you, especially how do you view
[00:21:31] this kind of consultative control method led by Beijing and participated
[00:21:35] in by Shanghai in platform governance? This morning
[00:21:39] I participated in the cross-regional联动
[00:21:43] consultative control meeting between Beijing and Shanghai. This
[00:21:47] meeting was, uh,
[00:21:50] led by Beijing and participated in by Shanghai. We know that
[00:21:54] Beijing and Shanghai are the locations of the headquarters
[00:21:58] and registration places of many leading platforms. So,
[00:22:01] at the same time, Beijing and Shanghai are also the institutional highlands for platform economic
[00:22:05] governance. Therefore, the two places can
[00:22:09] adopt a coordinated approach to consult
[00:22:13] on algorithm governance, which is a beneficial attempt
[00:22:16] to promote the unified market system of the platform economy.
[00:22:25] So, in this meeting, I think there are two very important highlights. The first is about algorithm evaluation,
[00:22:28] and the second is about this consultative governance mechanism.
[00:22:32] So, these two combined, I think are particularly important
[00:22:36] for the algorithm governance of the platform economy. We know that
[00:22:39] the governance of the platform economy is a new business model that is
[00:22:43] constantly iterating and developing. So,
[00:22:47] in this development process, for major
[00:23:23] governance, it is a very meaningful attempt for the development of the platform economy, especially its sustainable and healthy development. We always say that algorithms
[00:23:26] should be good, and we should optimize algorithms, but in fact, algorithms
[00:23:30] are written by people, and they are also managed by people. Is it that difficult
[00:23:34] to optimize them? What do you think is the core difficulty
[00:23:38] involving this kind of interest? I think the core difficulty
[00:23:42] of algorithm governance is the issue of algorithm
[00:23:45] transparency. So, we, Therefore, for algorithm governance,
[00:24:20] in the future, we may really need to return to this
[00:24:24] process-oriented governance and dynamic evaluation, and put more effort
[00:24:27] into this area. Hmm,
[00:24:31] so what do you think, in the past two years, the national level has promoted some
[00:24:35] related governance. Which problems have been significantly improved,
[00:24:39] and which ones have not been fully seen? In
[00:24:43] terms of platform economic governance, including anti-involution,
[00:24:46] including price wars, including our.
[00:27:34] viewers. This is CCTV News Channel. At 5:00 AM, welcome to this
[00:27:38] news live broadcast. The State Council Information Office
[00:27:41] held a press conference on the 13th, launching the "Moving Forward
[00:27:45] with the Pace of the Party" series of thematic press conferences. Responsible persons
[00:27:49] from the Ministry of Ecology and Environment introduced the relevant situation
[00:27:52] of comprehensively promoting the construction of a beautiful China.