
Hong Kong's shelved plan for 8,300 public flats to face 90% higher cost per home
Hong Kong housing authorities have revealed that the now-suspended plan to build 8,300 public flats in a northern town will face higher costs of up to 90 per cent for each home and require an extra 10 months to complete if it were to press ahead.
The Housing Bureau said on Monday that the postponement was prompted by its ground investigation that the site had 'complex geology with a deep bedrock layer'.
'The authority stresses that it has not abandoned the project,' the bureau said.
It added that geological issues were expected to bring a longer-than-normal construction period and significant costs for foundation works.
The bedrock level had been found at depths exceeding 80 metres (262 feet) below ground in general, with the deepest recorded at 120 metres. If the site were to be used for public housing construction, deep foundation work would be involved, it said.
The suspension of the development, including its site formation and infrastructure works, in Fanling was revealed in a document the Housing Department and the Civil Engineering and Development Department submitted to the North District Council last week for a meeting on Monday.
According to the paper, the Fanling Area 17 site, spanning about 5.47 hectares (13.5 acres) of both government and private land, is located to the east of Ling Shan Road and Jockey Club Road, south of Ma Sik Road and west of Fan Leng Lau Road. It currently houses the Fan Garden Police Driving and Traffic Training Centre.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


South China Morning Post
2 hours ago
- South China Morning Post
Hong Kong developers eyeing border project urged to link up with mainland firms
Hong Kong's development minister has suggested that local developers join hands with their mainland Chinese counterparts to take part in the Northern Metropolis border town megaproject using a new approach. Advertisement Secretary for Development Bernadette Linn Hon-ho said on Saturday that the government was studying proposals submitted by various developers and aimed to put one or two large land parcels in the Northern Metropolis project up for tender in the second half of the year. Linn stressed that the government was prioritising the 300 sq km project near the border with mainland China and was willing to be flexible to facilitate developers in speeding up work. In March, the government received 22 expressions of interest in the pilot scheme to develop three large land parcels in the Northern Metropolis, including from Henderson Land Development, New World Development, Sino Land and CK Asset Holdings. According to Linn, about 60 per cent of the expressions of interest came from local enterprises and the remaining 40 per cent from mainland companies. Advertisement 'We are now analysing and preparing detailed terms of the tender. Our goal is to start the bidding process for at least one or two land parcels in the second half of the year,' Linn said on a radio programme.


South China Morning Post
3 hours ago
- South China Morning Post
From Cambridge to Suzhou: a Chinese AI start-up's journey to unicorn status
In 2007, a Chinese PhD student at the University of Cambridge launched a start-up with a former classmate focused on using speech recognition technology to help foreigners learn Chinese. A year later, Yu Kai and his team returned to China, aiming to draw on the country's vast market and deep talent pool to propel their nascent company's development. Swapping Cambridge for Suzhou – a city in eastern China then more famous for its picturesque gardens and canals than its tech sector – may have seemed like an unconventional choice at the time, but it proved to be an inspired move. Yu's company, AI Speech, is now riding China's artificial intelligence boom as a leader in conversational AI. It has raised hundreds of millions of dollars over several funding rounds, with the Hurun Research Institute recognising the firm as an AI unicorn. Its technology powers voice activation software used by carmakers Mercedes-Benz and BYD, as well as smart home brands Midea and Haier. It also develops AI chips and smart office devices like microphones and speakers. Though the company's funding mostly comes from private investors and its own revenue, China's industrial policies have also played an important role in supporting AI Speech, according to Yu.


South China Morning Post
3 hours ago
- South China Morning Post
Alibaba unveils new AI model for image creation, as open-source approach gains recognition
Alibaba Group Holding has launched a new artificial intelligence (AI) model, Qwen VLo, said to be capable of generating and editing images with a finesse akin to that of a human artist, intensifying the competition in multimodal models as the tech giant seeks to redefine itself as an AI leader. Released on Friday, Qwen VLo was a 'comprehensive upgrade' from previous models like QwenVL and Qwen2.5 VL, the company said. It could better understand input and create more precise images, accommodate open-ended instructions, and support multiple languages, including Chinese and English. A preview is now available on Qwen Chat. Qwen VLo also supports diverse input and output formats, offering increased flexibility for users and making it ideal for creating posters, illustrations, web banners, and social media covers. Alibaba owns the South China Morning Post. The new model adds to the intense competition in China's AI landscape, as rivals such as ByteDance and SenseTime strive to introduce their own multimodal models designed to interpret various types of input data, including text, video, and audio. In contrast, traditional AI models only handle one type of input. 10:41 How Hangzhou's 'Six Little Dragons' built a new Chinese tech hub How Hangzhou's 'Six Little Dragons' built a new Chinese tech hub Alibaba has been doubling down on AI and cloud computing, as it moves to streamline its sprawling operations. In February, the company pledged to invest more than 380 billion yuan (US$52 billion) in AI infrastructure over the next three years.