CCTV13 — 11
20260813 133000 UTC
188 transcript segments
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[00:00:34] To avoid delivery riders running red lights, three
[00:00:37] delivery platforms, in view of the red light stop-and-go new
[00:00:41] measures. We found in the survey process that when riders
[00:00:44] face a red light, if the red
[00:00:48] light duration is very long, and their delivery time is relatively
[00:00:52] tight, then they may have the urge
[00:00:56] to run the red light.
[00:01:40] Good evening, audience friends, welcome to the live broadcast of "Hang Wen Jia Yi." In Kunshan,
[00:01:44] Jiangsu, there was once a poet who was also a delivery rider, who wrote a poem like this:
[00:01:48] He said, "Chasing the wind from the air, chasing knives from the wind,
[00:01:51] chasing fire from the bones, chasing water from the fire."
[00:01:55] People who rush for time have no seasons, only one battle and the next
[00:01:59] battle. The title of this poem is "People Who Rush for Time."
[00:02:03] When he was interviewed by reporters, he said that delivery riders are a group
[00:02:06] of people who are forced to rush for time, because
[00:02:09] rushing for time seems to be a knot in their lives. Indeed,
[00:02:13] everyone who places a delivery order will compare
[00:02:17] the delivery time of the order. And every rider who accepts an order, their
[00:02:21] number of orders and the timeliness of the orders are indeed closely
[00:02:25] related to their income, so for a long time we
[00:02:28] often would because of.
[00:03:00] representative. Of course, we are very concerned about today's
[00:03:04] dialogue meeting, and the so-called algorithm optimization measures
[00:03:08] such as stopping at red lights will bring what kind of changes
[00:03:12] to the entire platform economy? More importantly,
[00:03:15] what kind of role will this consultation
[00:03:19] mechanism play in the governance of the platform?
[00:03:23] Today's program, let's focus on it together.
[00:03:25] What do food delivery riders fear most
[00:03:29] ?
[00:04:48] This is GPS data or Beidou data. So we know that the rider
[00:04:52] is at the intersection, and also knows how many seconds the traffic light countdown at this intersection is.
[00:04:56] After combining these two pieces of data, it can be realized.
[00:06:12] The second negotiation and dialogue for "Promoting Goodness" took place. The last one was at the end of June
[00:06:16] this year, also in Beijing, which was to help food delivery businesses
[00:06:20] reduce costs and increase profits. Finally, all parties reached a consensus on five aspects: optimizing subsidies,
[00:06:23] offering fee concessions, rational marketing, supporting guarantees, and regulating
[00:06:27] delivery management. Today's second
[00:06:31] negotiation meeting, in terms of promoting platform algorithm optimization,
[00:06:35] in addition to stopping at red lights, there are also many measures, such as
[00:06:39] calculating delivery time, for driving.
[00:07:44] To promote the innovation and healthy development of the national platform economy,
[00:07:48] we provide beneficial exploration.
[00:08:03] However, of course, our traffic regulations must ensure safety. Sometimes, in the eyes of food delivery riders, there is an irreconcilable contradiction between the two. So, after
[00:08:06] this morning's talks and negotiations, what kind
[00:08:10] of results were produced? Next, we will immediately connect with
[00:08:14] Director Wang Bo, Head of the Network Transaction Supervision
[00:08:18] and Management Division of the Beijing Municipal Market Supervision Administration, who presided over
[00:08:21] this negotiation this morning. Director Wang, we see
[00:08:25] that today's three platforms have, of course, also focused on
[00:08:29] their algorithm optimization. We have seen many media reports, including things
[00:08:33] like stopping at red lights, including the speed of food delivery riders
[00:08:36] not exceeding 15 kilometers per hour, including
[00:08:40] the slow delivery of merchants.
[00:09:05] Among them, what riders are most concerned about is the calculation of
[00:09:09] delivery time by the algorithm for riders.
[00:09:12] Riders have put forward many demands, for example,
[00:09:16] some riders hope that the red light time
[00:09:20] can be taken out, so that riders can wait for the light more calmly.
[00:09:24] Some riders also propose that in bad weather conditions,
[00:09:27] riders can be given more compensation. After these
[00:09:31] demands were raised, we also quickly contacted the food delivery platforms,
[00:09:35] and the food delivery platforms were also very proactive in their support,
[00:09:39] and also put forward some related measures. So,
[00:09:42] this topic, the algorithm, that is, the algorithm
[00:09:46] of food delivery riders, it is mainly closely related to the rider's delivery time,
[00:09:50] because through the calculation of the algorithm, the rider's assessment time is obtained,
[00:09:54] and the rider's assessment time is also related to the rider's service
[00:09:57] rating and some income,
[00:10:01] income situation, so in this regard, riders are very, very concerned.
[00:10:05] Of course, these
[00:10:08] measures are in place, but the next step is implementation, because we know that really. If these
[00:10:12] measures are to be implemented, they may still encounter many
[00:10:16] incidental situations in practice, for example, what
[00:10:20] if the GPS signal is blocked by a building? For example, what
[00:10:24] if there are some miscalculations in the calculation of compensation?
[00:10:28] What if the recognition is not clear, and so on and so forth.
[00:10:31] So, in the future, if this inaccurate compensation
[00:10:35] situation occurs, what kind of remedial measures will there be, including
[00:10:39] whether the food delivery rider's complaint channel
[00:10:42] is smooth enough, etc. Were these issues discussed
[00:10:46] in the negotiation today? These issues
[00:10:49] have actually been raised by food delivery riders, and we have also received them.
[00:10:53] Through P-direction, the platform will carry out corresponding compensation. If these compensations are indeed deemed necessary, there is still a possibility that these
[00:11:25] delivery orders will not be judged as overtime,
[00:11:29] which can protect the related rights and interests of riders
[00:11:33] to a greater extent. At the same time, we are also currently conducting
[00:11:36] road tests and technical connections in some pilot
[00:11:40] sections in Beijing, precisely to ensure that these
[00:11:44] faults and accidents
[00:11:47] are minimized. Hmm, the negotiation and dialogue meeting
[00:11:51] on the "Platform Economy Turning for the Better" this morning was already the second one.
[00:12:27] very close partners. From the perspective of protecting the rights and interests of new employment groups, our Beijing City
[00:12:31] has also introduced many measures. For example, we have the "One Bed, One Room"
[00:12:35] action, so that riders can sleep peacefully, and there is also the "Caring
[00:12:39] Meal" project, so that riders can eat more cheaply
[00:12:42] and more safely. But through rider surveys, we found
[00:12:46] that the rider's state is mainly on the road. So,
[00:12:50] their state of eating while on the road not only concerns the rider's
[00:12:54] .
[00:14:55] Today, we adopt the means of negotiated control, which is actually
[00:14:59] a difficult problem we faced in the early
[00:15:02] stages of algorithm supervision.
[00:15:05] In the process of algorithm supervision, we always face
[00:15:09] several difficulties. The first is difficulty in acquisition.
[00:15:13] Platforms treat some core algorithms as their core
[00:15:17] business secrets. The second is difficulty in parsing.
[00:15:20] The algorithms of each algorithm platform are multiplied by hundreds.
[00:15:37] The laws and regulations are not particularly clear
[00:15:41] on the nature of many algorithms. For example, regarding the delivery time for riders,
[00:15:45] whether it's 25 minutes, 30 minutes, or 40 minutes,
[00:15:49] this cannot be given strong regulation from a legal perspective.
[00:15:53] The fourth aspect is that it's actually very difficult to grasp
[00:15:57] the timing of regulation. Early intervention may affect the development of the industry,
[00:16:00] but late intervention may bring some risks. So, this
[00:16:04] time we use the concept of consensual governance. That is, we adopt
[00:16:08] flexible regulation. In fact, government regulation and social governance
[00:16:12] include both rigid aspects, such as regulation and enforcement, and flexible regulation, which
[00:16:16] is our consensual governance. Okay, thank you.
[00:16:19] Thank you, Director Wang, for your analysis. In the past, we would have thought
[00:16:23] that the greatest benefits of all stakeholders, including platforms, merchants, riders,
[00:16:26] and customers, were built on the basis of riders'
[00:16:30] rapid running. Of course, we now think this is problematic. When a problem arises,
[00:16:34] how can we best.
[00:16:53] In the past year or so, anti-involution has become a key word in our country's economic work. The involution of the platform economy not only involves itself, but also involves competitors and merchants,
[00:16:57] especially some food delivery platform companies. For a considerable period of
[00:17:01] time, in order to compete for instant retail traffic entry,
[00:17:05] they repeatedly launched billion-dollar subsidy wars.
[00:17:46] In March this year, a platform subsidy activity detail approved by the Beijing Municipal Market Supervision
[00:17:50] Bureau showed that if merchants subsidize 6 yuan,
[00:17:54] the platform subsidizes 1 yuan; if merchants subsidize 8 yuan, the platform
[00:17:58] subsidizes 2 yuan. This means that when the platform issues red envelopes,
[00:18:01] most of the cost is borne by merchants. This leads to a food delivery
[00:18:05] platform's 18-yuan order.
[00:19:08] In fact, not only on food delivery platforms, but on various Internet
[00:19:12] platforms, small and medium-sized businesses are in a relatively disadvantaged position.
[00:19:16] How to change this phenomenon? While setting rules,
[00:19:19] a number of strong regulatory cases have also been implemented
[00:19:23] since this year. On April 17, the Market Supervision
[00:19:27] Administration imposed a huge fine of
[00:19:29] 3.597 billion yuan on seven e-commerce platforms
[00:19:33] for allowing ghost delivery practices. In June,
[00:19:37] the anti-monopoly compliance rectification of Huolala was announced, including
[00:19:41] the complete cancellation of mandatory exclusive car sticker rules, returning
[00:19:45] unreasonable fees to drivers amounting to 120 million yuan, and reducing the overall
[00:19:49] platform commission rate, which can reduce drivers'
[00:19:52] burden by over 1.3 billion yuan annually. Through such a
[00:19:56] typical case, we are led to think about how to ensure that platform enterprises,
[00:19:59] operators within the platform, workers within the platform,
[00:20:03] including the truck drivers and consumers we mentioned.
[00:20:37] Since July 1 this year, the occupational injury insurance pilot program for new employment
[00:20:41] forms has been fully rolled out in 31 provinces
[00:20:45] and Xinjiang Production and Construction Corps nationwide.
[00:20:48] 开 。
[00:22:20] This is a meaningful attempt to promote the unified
[00:22:23] large market system of the platform economy. So, in this meeting, I
[00:22:27] think there are two very important highlights. The first
[00:22:31] is about algorithm evaluation, and the second
[00:22:35] is about this kind of negotiated governance mechanism. So, these two combined,
[00:22:38] I think are particularly important for the algorithmic governance of the platform
[00:22:42] economy. We know that the governance of the platform
[00:22:46] economy is a new business format, and it is constantly iterating and developing.
[00:23:20] and risks like delivery times, then this kind of proactive
[00:23:24] governance is a very meaningful attempt for the development of the platform
[00:23:28] economy, especially its sustained and healthy development. We always
[00:23:32] say that algorithms should be good, and we should optimize algorithms, but
[00:23:36] in fact, algorithms are written by people, and they are also managed by people.
[00:23:40] Is it that difficult to optimize them? Where do you think the core
[00:23:43] difficulty involving such interests lies?
[00:23:47] I think the core difficulty of algorithm governance
[00:23:50] is about the transparency of algorithms. So, our country
[00:23:54] actually has corresponding laws and regulations and corresponding systems
[00:23:58] for the governance of algorithm transparency, for example, the algorithm filing
[00:24:01] system we are now talking about. The algorithm filing system is a
[00:24:05] form of filing and formal review. Although
[00:24:09] it proactively,
[00:24:12] in a one-time manner, solved some issues of identifying
[00:24:16] the structural logic of algorithms, it is in real-world scenarios.
[00:27:20] where the sea temperature in the central and eastern equatorial Pacific
[00:27:24] continuously and abnormally warms. It belongs to the natural variability
[00:27:28] within the climate system. It occurs irregularly,
[00:27:31] with a cycle of two to seven years.
[00:30:39] As controlling the Strait of Hormuz, the US and Iran each take a stance.
[00:30:43] The Middle East situation is tense, and the USS Lincoln aircraft carrier
[00:30:47] has not docked for a long time, causing many to break down and want to jump overboard.
[00:30:50] As the US midterm elections approach, the Republican Party spends
[00:30:54] heavily on advertising to block Democratic Senate candidates.
[00:30:57] Real-time observation of the US.