Fliggy Revolutionizes Travel Plans for Chinese Tourists Ahead of Golden Week
Fliggy Empowers Travelers for the Golden Week
As the Golden Week approaches, travel booking platform Fliggy sees a notable increase in long-haul trips among Chinese tourists. With airfares dropping significantly, many are exploring diverse destinations, both domestically and abroad.
Rising Interest in Long-Distance Travel
Recent findings reveal that around 60% of travelers plan to embark on long-haul vacations during the National Day celebration, a considerable rise from last year's 39%. Yao Jiapei, a traveler from Shanghai, is among those benefiting from lower ticket prices, with direct flights from Shanghai to Shenzhen priced as low as 297 yuan ($42).
- Discounts on domestic airfares, averaging 21% lower than last year.
- Heightened enthusiasm for cultural activities and adventures.
- Chinese travelers show increased interest in lesser-known tourist spots.
Booking Trends and Cultural Engagement
This year, more travelers are looking for unique experiences, with searches for museum tours and concerts spiking during the holiday period. Janice Meng from Dragon Trail International noted that out of over a thousand surveyed, 70% of respondents engaged in cultural activities during their international travels.
- The allure of concerts and festivals, with travelers like Xia Zijian splurging on experiences abroad.
- Anticipation for events like The Weeknd's concert in Melbourne.
- Record air traffic projections indicate travel is back in full swing.
Final Thoughts on the Golden Week Travel Surge
Fliggy's role in the evolving travel landscape underscores a broader trend among Chinese travelers seeking authentic experiences. With a growing preference for long-distance travel, this Golden Week marks a significant moment in the recovery of travel post-pandemic.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.