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China‑Laos railway sees May Day tourism surge, Mohan port traffic up 8.8 pct

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China

China‑Laos railway sees May Day tourism surge, Mohan port traffic up 8.8 pct

2026-05-04 16:54 Last Updated At:05-05 11:56

The China-Laos Railway is seeing a surge in cross‑border tourism during the five-day May Day holiday, with passenger traffic through Mohan port up 8.8 percent year on year in the first three days, local border inspection authorities said Monday.

The port processed more than 3,300 border crossings during the first three days of the holiday. A combination of favorable entry policies and the extended holiday period has fueled the steady rise in rail-based cross-border travel, with the port experiencing a smooth but notable holiday peak, authorities said.

The holiday period has seen a clear diversification of cross-border travelers, with a marked increase of foreign nationals. Over the three days, the Mohan railway port recorded nearly 400 foreign travelers from 24 countries and regions. Notably, visa-free foreign arrivals accounted form more than 63 percent, reflecting the continued positive impact of China's visa-free policies.

"I'm taking Chinese railway abroad for the first time, and I feel really proud. The ride was very smooth and fast. I can go from Kunming to Vang Vieng in just one day," said Li Zhonghan, a student at Harbin Institute of Technology.

Several factors are behind the surge. This year marks the first implementation of a primary and secondary school spring break system in Yunnan. The spring break coincides with the May Day holiday to create an extended vacation period, making study tours and family trips a major trend in outbound tourism.

Meanwhile, a range of visa policies, including mutual visa exemptions, China's unilateral visa waivers, the 240-hour visa-free transit, and the 144-hour visa free entry for tour groups from the 10 member countries of the Association of Southeast Asian Nations (ASEAN) to Yunnan's Xishuangbanna Dai Autonomous Prefecture, have taken effect successfully, continuing to attract international visitors,

"[We] want to visit Yunnan, a bit everywhere, Sichuan, Meishan, Xi'an and Beijing. The feeling is it's a very interesting culture for us to discover. We want the children to see China with their eyes, to see how it has changed a lot in 14 years [since] last time we came," said French tourist Alexis Paul Drzemczewski.

The travel surge has been further boosted by the ongoing celebration of distinctive Yunnan ethnic festivals, including the Mojiang International Twins Festival and the Dali March Fair. Combined with holiday homecomings by overseas Chinese, these events have pushed border crossing volumes even higher.

To handle the holiday crowds, the Mohan border inspection station has introduced targeted measures to streamline customs clearance procedures. These include pre-registration and pre-screening for large tour groups and real-time passenger flow updates. The station has also added bilingual guidance officers, dedicated lanes and green channels for special-needs travelers, aiming at ensuring safe and efficient customs clearance.

China‑Laos railway sees May Day tourism surge, Mohan port traffic up 8.8 pct

China‑Laos railway sees May Day tourism surge, Mohan port traffic up 8.8 pct

A year after issuing its first ocean forecasting AI system, Chinese scientists on Saturday rolled out LangYa 2.0, a major upgrade that moves beyond basic sea variables to predict complex marine phenomena including typhoons, extreme rainfall and storm surges.

The new model was unveiled at the ongoing Fourth China Digital Earth Conference in Qingdao, a coastal city of east China's Shandong Province.

Developed by the Institute of Oceanology under the Chinese Academy of Sciences (IOCAS), LangYa 2.0 marks a leap from global ocean state forecasting to intelligent prediction of complex marine phenomena, making ocean forecasts perceptible, actionable, and decision-ready, according to Wang Fan, president of IOCAS.

It will provide intelligent support for marine disaster prevention, shipping safety, polar navigation, and climate response, he added.

The upgraded system now predicts six key marine phenomena -- typhoons, extreme rainfall, storm surges, internal solitary waves, mesoscale eddies, and sea ice.

It does so via six specialized vertical sub-models, each trained on unique datasets and physical mechanisms. Together, they form what the research team calls "a diagnostic AI," which delivers direct, actionable forecasts.

Take typhoons for example. The typhoon module fuses atmospheric and oceanic fields, satellite cloud imagery and historical typhoon tracks. It is specifically designed to handle two notoriously hard-to-predict behaviors: rapid intensification and sudden turning. For coastal communities, those few hours of extra warning can mean the difference between evacuation and disaster.

For offshore engineering, LangYa 2.0 can identify internal solitary waves -- the powerful, hidden currents that can damage oil platforms.

It forecasts their evolution over the following 30 days and allows users to query speed, amplitude and other key parameters for the coming week, according to the research team.

Even before its official release, version 2.0 has begun to prove its worth.

Independently validated by the Sea Ice Prediction Network, an international collaboration of scientists and research institutions dedicated to improving seasonal forecasts of Arctic sea ice, LangYa 2.0 ranked first among multiple global models in the 2025 seasonal forecast for September Arctic sea ice extent, which refers to the area of ocean covered by ice.

It delivers monthly-scale predictions at three-kilometer resolution, which is critical for Arctic shipping routes, climate research and polar navigation safety, the team noted.

China releases LangYa 2.0 AI model for full-blown marine phenomenon forecasting

China releases LangYa 2.0 AI model for full-blown marine phenomenon forecasting

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