2025年“超级黄金周”盘点：出入境双线升温，音乐节和体育赛事带火县域旅游

Core Insights - The "Super Golden Week" during the National Day and Mid-Autumn Festival saw a significant increase in travel, with a total of 2.36 billion trips made, averaging about 295 million trips per day, a year-on-year increase of approximately 3.2% [1] - The tourism market is shifting from simple sightseeing to deeper experiential travel, with hotel bookings for stays of two days or more increasing by over 52% year-on-year [1] - The county tourism market is thriving, with over 30 counties seeing hotel booking growth exceeding 100%, indicating a shift towards quality experiences [3] Travel Trends - The trend of "traveling further" is evident, with domestic group tour bookings from non-first-tier cities increasing by over 70% [1][2] - The popularity of music festivals and sports events is driving county tourism, with events like the "Huluguo Music Festival" in Anhui leading to a 2.6-fold increase in hotel bookings [3] - The demand for high-quality accommodations in non-first-tier cities has surged, with bookings for multi-room homestays increasing by 140% [3] Outbound and Inbound Travel - Outbound travel is experiencing a resurgence, particularly among residents of non-first-tier cities, with long-haul group tours increasing by nearly 100% [5] - Popular destinations for outbound travel include Iceland and Norway, with booking increases of over 100% [6] - Inbound tourism is also thriving, with a 33% year-on-year increase in flight bookings by foreign passport holders, indicating a growing interest in lesser-known Chinese cities [6] Travel Behavior - The trend of staggered travel is becoming popular, with over 30% of workers choosing to travel early and return late, leading to a significant increase in bookings during the holiday's beginning and end [7] - Average domestic flight prices dropped by over 30% during the holiday, with some routes seeing price reductions exceeding 50% post-holiday [7] - This "staggered travel" approach helps alleviate pressure on resources during peak travel times, optimizing resource allocation [7]