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China pilots "quiet communities" to curb urban noise, disputes_我的网站

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    An aerial drone photo taken in October 2025 shows a view of the Dongshan pocket park in Guangzhou, south China's Guangdong Province. (Xinhua)When 72-year-old Shi Jikun opened his windows at home in Yuxi, southwest China's Yunnan Province, he used to hear the repeated thud of balls and blowing of whistles from an indoor sports venue near his residential community.
"During the day, I didn't dare open the windows," Shi said, recalling years when the noise disrupted his daily routine.
The sports venue has since undergone two rounds of soundproofing. Sound-absorbing materials were installed on its walls, while double-glazed soundproof windows were fitted along the side facing the residential area.
The noise has eased. "The neighborhood is quiet now, making everyday life much more comfortable," Shi noted.
Shi's experience is part of a broader move underway across China to tackle one of the less obvious costs of urbanization: the growing amount of noise packed into increasingly dense neighborhoods.
As cities expand, the likes of homes, roads, businesses, construction sites and recreational spaces are often crammed together. China has, notably, been testing a neighborhood-level response to this challenge via the development of "quiet communities," combining physical upgrades with local management and mediation.
This initiative was launched as a national pilot project in May 2023. By the end of 2025, a total of 3,272 quiet communities had been built nationwide, benefiting more than 2.4 million households, according to the Ministry of Ecology and Environment.
This approach now also has a stronger legal footing. On Saturday, China's Ecological and Environmental Code came into force, with a dedicated section on noise pollution prevention and control.
The scale of the problem is reflected in noise complaints. In 2025, cities at the prefecture level and above received about 6.83 million noise-related complaints, with social-life noise accounting for 73.2 percent.
Noise from neighbors, equipment malfunctions and disturbances from square dancing, a popular group exercise in China often held by middle-aged and older residents in public spaces, were among the most common issues raised.
China's quiet-community program is designed to address such problems before they become recurring disputes. "Quiet communities do not mean that there should be no sound," said Lu Lu, deputy head of the noise management division at the Ministry of Ecology and Environment.
The goal, Lu said, is to create a comfortable and harmonious living environment while balancing everyday activity with residents' need for quiet.
The solutions vary from place to place. In south China's Shenzhen, some newly built residential communities are incorporating noise control at the planning and design stage. Measures include low-noise pavements, vegetation buffers, separated pedestrian and vehicle routes, and automatic noise-monitoring equipment.
Older communities are using renovation projects to address noise concerns. In Xiaoshan District in east China's Hangzhou, Huiyu garden community replaced aging elevators and repaired drainage grates and other public facilities as part of its quiet-community program.
But physical upgrades alone cannot settle conflicts between neighbors.
At Fenglin Shunhe community in Weihai, eastern China's Shandong Province, residents, property managers, community officials and square-dancing groups agreed to end dancing at 8:30 p.m. The main lights in the square switch off at that time, signaling that it is time for the dancers to leave.
The key is to respond quickly to complaints and give residents and activity groups a way to negotiate solutions, said Jiang Chunyan, head of the neighborhood committee.
In another community in Shenzhen, property managers have gone further by treating renovation noise as a process to be managed proactively rather than a problem to be addressed after complaints arise.
Renovation work is divided into nine stages and mapped on a visual noise-management chart. Property managers use the chart to carry out targeted inspections as work progresses. Contractors are also required to work only during designated hours and under fully enclosed conditions.
The program still faces gaps in terms of regional coverage and long-term maintenance. Quiet communities remain concentrated in a few cities, while older neighborhoods and parts of central and western China have fewer projects. Some communities also face difficulties maintaining noise-control measures after initial upgrades are completed.
The Ministry of Ecology and Environment plans to incorporate quiet-community development into China's noise pollution prevention and control work for the 2026-2030 period. It has called for regular inspections, dynamic monitoring and follow-up visits to ensure that measures remain effective.
Zheng Shanshan, an official responsible for ecological affairs in Hangzhou's Xiangfu Subdistrict, said the next step should extend noise management from individual communities to larger areas through tools such as sound-environment maps.
"Quiet communities are only a starting point," Zheng said. "We hope to create more quiet spaces across the city."
。         Conceptual diagram of AI Photo: VCG
In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do.
While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential.
For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings. 
Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends.
In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace. 
What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access. 
According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach.
With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits.
Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies.
When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth.
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Published on:08:39:12