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용산공원·서울 그린벨트, 7만3000가구 추가 공공택지서 빠진다…"경기 중심 유력"_我的网站

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甲方乙方

용산공원·서울 그린벨트, 7만3000가구 추가 공공택지서 빠진다…"경기 중심 유력"_我的网站

蒲松龄

一 |     국토부, 내곡동·올림픽선수촌 인근 등 서울 그린벨트 제외 공식화                   ▲ 김윤덕 국토교통부 장관이 26일 서울 모처의 한 식당에서 용산공원을 활용한 주택 공급 등 서울 주택 문제를 오세훈 서울시장과 협의하기 위해 이동하고 있다. 연합뉴스정부가 이르면 9월 말 내놓을 추가 신규 공공주택지구에 용산공원과 서울 개발제한구역(그린벨트)은 포함되지 않을 전망이다.김윤덕 국토교통부 장관은 26일 오세훈 서울시장과의 면담을 앞두고 취재진과 만나 추가 택지에 용산이 들어가는지 묻는 질문에 "원래 용산은 들어가지 않았다"고 선을 그었다. 추가 물량인 7만3000가구가 경기도 부지로만 채워질 가능성에 대해서는 구체적 언급을 피하며 "천천히 기다려보자는 것"이라고 답했다.앞서 정부는 8·13 대책을 통해 서울 강서, 경기 남양주, 경기 광주 등 3개 지역에 신규 택지를 조성해 2030년까지 2만7000가구를 착공하겠다고 발표한 바 있다. 여기에 더해 '7만3000가구+α' 규모의 추가 택지도 행정절차를 거쳐 이르면 9월 말 공개하겠다고 밝혔다.추가 택지 후보로는 그동안 △서초구 내곡동 예비군훈련장 △강남구 세곡·자곡동 △수서차량기지 △송파구 방이동 올림픽선수촌 인근 등 서울 내 그린벨트가 거론돼왔다. 하지만 서울시가 그린벨트 해제를 통한 주택 공급에 강하게 반대해온 만큼 실제 반영 여부는 불투명하다는 관측이 많았다.용산 어린이정원 등 용산공원 본체 부지를 주택 용지로 활용하는 방안 역시 정부 내부에서 검토돼왔으나, 서울시의 반대에 부딪힌 상태다.이런 분위기 속에 이번 추가 택지는 경기도 위주로 짜일 가능성이 커지고 있다. 국토부 관계자는 김 장관의 발언에 대해 "7만3000가구에 서울이 들어가지 않는다고 장관이 확정적으로 말씀하신 것"이라고 설명했다. #7만3000가구 #용산공원 #그린벨트 #공공택지 #경기도。    

Chinese autonomous driving firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
    Chinese autonomous driving firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday. 
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets. 
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.

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Published on:09:05:26


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