Published on
January 21, 2026

Airports across Asia are experiencing significant flight disruptions today, with hundreds of flights delayed and multiple cancellations affecting passengers, airlines, and regional travel economies. Data from major Asian hubs — Changsha Huanghua (China), Jakarta‑Soekarno‑Hatta (Indonesia), Chengdu Shuangliu (China), and Beijing Daxing (China) — reveals a concentrated pattern of operational stress affecting flights region‑wide.
In this report, we compile detailed tables directly from operational data, analyse which Asian airlines have borne the brunt of cancellations and delays, explain the underlying causes, assess impacts on tourism and the economy, outline steps travelers should take, and conclude with key insights for stakeholders.
The following table summarises the total delays and cancellations today at the four focal Asian airports based on official FC data:
| Airport (City / Country) | Total Delays Today | Total Cancellations Today |
|---|---|---|
| Changsha Huanghua Int’l (CSX, China) | 89 | 13 |
| Jakarta‑Soekarno‑Hatta Int’l (CGK, Indonesia) | 120 | 10 |
| Chengdu Shuangliu Int’l (CTU, China) | 41 | 7 |
| Beijing Daxing International (PKX, China) | 62 | 4 |
| Total for Asia (Today) | 312 Delays | 34 Cancellations |
This sharp concentration of disruptions in major Asian hubs highlights systematic strain on flight operations across the region.
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Changsha Huanghua International (China) — Disruption Breakdown
Changsha Huanghua Daily Flight Disruption by Airline
| Airline | Cancelled # | Cancelled % | Delayed # | Delayed % |
|---|---|---|---|---|
| China Southern Airlines | 4 | 4% | 11 | 11% |
| Hainan Airlines | 2 | 3% | 3 | 4% |
| XiamenAir | 2 | 4% | 12 | 26% |
| Beijing Capital Airlines | 2 | 16% | 4 | 33% |
| Air China | 2 | 6% | 2 | 6% |
| West Air | 1 | 25% | 0 | 0% |
| Sichuan Airlines | 0 | 0% | 9 | 60% |
| Shanghai Airlines | 0 | 0% | 2 | 12% |
| China United Airlines | 0 | 0% | 1 | 20% |
| Fuzhou Airlines | 0 | 0% | 4 | 57% |
| Tianjin Airlines | 0 | 0% | 2 | 33% |
| Korean Air | 0 | 0% | 1 | 50% |
| Kunming Airlines | 0 | 0% | 6 | 46% |
| Okay Airways | 0 | 0% | 5 | 20% |
| Air Travel | 0 | 0% | 3 | 11% |
| Qingdao Airlines | 0 | 0% | 1 | 9% |
| Ruili | 0 | 0% | 2 | 33% |
| Chengdu Airlines | 0 | 0% | 1 | 5% |
| Zhejiang Loong | 0 | 0% | 2 | 25% |
| Shandong Airlines | 0 | 0% | 4 | 33% |
| China Eastern | 0 | 0% | 11 | 27% |
| Air Changan | 0 | 0% | 1 | 25% |
Analysis:
- XiamenAir, China Eastern, Sichuan Airlines, and Fuzhou Airlines show the largest delay percentages, indicating chronic operational lag — especially notable for Sichuan Airlines (60% delay ratio).
- Beijing Capital Airlines has the highest cancellation percentage (16%), suggesting acute scheduling or resource issues.
- A wide range of Chinese domestic carriers are affected, showing that disruption is not isolated to a single operator but widespread across domestic networks.
Jakarta‑Soekarno‑Hatta International (Indonesia) — Disruption Breakdown
Jakarta CGK Disruptions by Airline
| Airline | Cancelled # | Delayed # | Delayed % |
|---|---|---|---|
| Batik Air | 9 | 29 | 14% |
| Garuda Indonesia | 1 | 13 | 6% |
| Indonesia AirAsia | 0 | 14 | 25% |
| AirAsia | 0 | 5 | 50% |
| Shandong Airlines | 0 | 1 | 25% |
| Citilink | 0 | 5 | 3% |
| IndiGO | 0 | 1 | 50% |
| Lion Air | 0 | 25 | 20% |
| Malindo Air | 0 | 1 | 5% |
| Pelita Air Service | 0 | 2 | 3% |
| Qantas | 0 | 1 | 33% |
| Singapore Airlines | 0 | 1 | 5% |
| Super Air Jet | 0 | 14 | 9% |
| Sriwijaya Air | 0 | 1 | 4% |
| Saudia | 0 | 2 | 25% |
| TransNusa | 0 | 4 | 14% |
| VietJet Air | 0 | 1 | 25% |
Analysis:
- Batik Air clearly bears the highest absolute disruption, with 9 cancellations and 29 delays — making it the single most affected airline at Jakarta.
- AirAsia and IndiGO have high delay percentages despite low total flight counts, indicating vulnerability to knock‑on effects in the network.
- The mix of domestic (Lion Air, Citilink, Batik) and international carriers (Qantas, Singapore Airlines) affected shows that disruptions at CGK are penetrating multiple flight markets.
Chengdu Shuangliu International (China) — Disruption Breakdown
Chengdu CTU Disruptions by Airline
| Airline | Cancelled # | Delayed # |
|---|---|---|
| Sichuan Airlines | 4 | 10 |
| Air China | 3 | 16 |
| Zhejiang Loong | 0 | 2 |
| China Eastern | 0 | 4 |
| Tibet Airlines | 0 | 6 |
| Chengdu Airlines | 0 | 3 |
Analysis:
- Air China and Sichuan Airlines dominate the disruption totals at Chengdu.
- Air China’s delays (16) outnumber cancellations by more than fivefold — a hallmark of capacity shortages or ATC constraints.
- Regional carriers like Chengdu Airlines see smaller absolute disruptions, suggesting domestic feeder operations are less affected than larger network carriers.
Beijing Daxing International (China) — Disruption Breakdown
Beijing PKX Disruptions by Airline
| Airline | Cancelled # | Delayed # |
|---|---|---|
| China United Airlines | 2 | 15 |
| Air China | 2 | 6 |
| China Eastern | 0 | 13 |
| China Southern Airlines | 0 | 14 |
| XiamenAir | 0 | 4 |
| Hebei Airlines | 0 | 5 |
| Ural | 0 | 1 |
| AirAsia X | 0 | 1 |
Analysis:
- China United Airlines experienced the highest cancellation count at Beijing Daxing.
- China Eastern and China Southern have high delay numbers but no cancellations — indicating scheduling hold‑ups rather than aircraft groundings.
- The mix of domestic and limited international carriers here suggests cross‑border operations are also affected, though less severely.
The Asian Airlines Most Affected by Cancellations and Delays
Reviewing the combined operational data across all four FC tables, the following Asian carriers show the highest disruption load:
Top Asian Carriers by Total Disruptions (Combined)
| Airline | Total Cancellations (Approx.) | Total Delays (Approx.) |
|---|---|---|
| Batik Air | 9 | 29 |
| XiamenAir | 4 | 23+ |
| Sichuan Airlines | 4 | 19 |
| China United Airlines | 2 | 15+ |
| Air China | 5 | 20+ |
| China Eastern | 0 | ?? (multiple airports) |
| Garuda Indonesia | 1 | 13 |
| AirAsia (including Indonesia AirAsia) | 0 | ~19+ |
Key Patterns:
- Batik Air is the single most affected airline in terms of absolute cancellations.
- Chinese network carriers (Air China, XiamenAir, China Eastern, Sichuan Airlines) show the highest cumulative delays across multiple hubs.
- Low‑cost carriers like AirAsia see high delay percentages, suggesting limited recovery capacity during disruptions.
Primary Reasons Behind the Cancellations and Delays
- Weather and Seasonal Patterns
Many Asian hubs reporting high disruptions — Changsha, Beijing, Jakarta — are currently experiencing weather patterns that compromise runway operations (heavy rain, reduced visibility), forcing delays and cancellations. - Air Traffic Congestion
Major network hubs like Beijing Daxing and Jakarta CGK operate near capacity. Congestion increases queue times for take‑off and landing, leading to cascade delays across flight schedules. - Crew and Aircraft Scheduling Stress
Sudden changes in flight rotations create a domino effect when one delay causes crew duty time violations or aircraft misalignments, forcing cancellations — especially visible at Batik Air and China United Airlines. - Global Supply Chain Disruptions
The pandemic and its aftermath have had a lasting effect on global aviation. Disruptions in the aviation supply chain—from fuel shortages to spare parts—continue to impact airports like Chengdu Shuangliu and Beijing Daxing, which rely on efficient logistical networks to maintain schedules.
Impact on Tourism Across Asia
The ongoing flight disruptions directly influence inbound and outbound tourism across Asia:
- China Destinations (Beijing, Chengdu, Changsha): Tourists face cancellations and longer layovers, undermining travel plans and hotel bookings.
- Indonesia (Jakarta): Delays at CGK impact international connections to Bali and other tourism hotspots, potentially lowering tourist satisfaction scores.
- Reduced flight reliability dampens confidence among travelers deciding between Asian destinations and alternatives.
This has a downstream impact on tour operators, hotels, attractions, and local transport providers, who depend on timely arrivals for revenue.
Impact on the Economy
The economic impact of flight disruptions is substantial. Airlines are losing significant revenue due to flight cancellations, while airports incur additional costs due to the increased operational load of managing delayed flights. For local economies dependent on international visitors, especially in cities like Jakarta, Chengdu, and Changsha, these disruptions translate into lower sales in hospitality, retail, and transport services.
In the long run, these disruptions could undermine the regional economic recovery post-pandemic. Airlines and airports will need to invest more in improving operational efficiency and enhancing contingency planning to prevent further delays and cancellations from affecting the Asian economy.
What Passengers Should Do During These Disruptions
Check Flight Status Frequently: Use airline apps and airport real‑time flight boards.
Contact the Airline Early: For rebooking, compensation eligibility, and accommodation options.
Plan Extra Time at Airports: Expect longer queues at check‑in and security.
Consider Alternative Routes or Carriers: If delays are severe, ask about routing through less impacted hubs.
Keep Travel Insurance Updated: Especially coverage for delays and cancellations.
Conclusion — A Critical Operational Stress Point for Asia’s Aviation Network
With over 312 delays and 34 cancellations reported today across major Asian airports, the region’s air travel network is under substantial stress. From weather impacts to congestion and airline scheduling challenges, the disruptions reflect structural pressures that require coordinated action among carriers, airports, and regulators.
Airlines like Batik Air, XiamenAir, Sichuan Airlines, and China United Airlines are among the hardest hit, while both domestic and international travelers are facing operational uncertainty. Tourism and economic impacts could widen if disruptions persist.
Passengers must stay informed and flexible, while aviation authorities should prioritize operational resilience to navigate these disruptions effectively.
