Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report predicts significant traffic congestion during the 2026 Spring Festival travel period, with specific peak times and congested routes identified [6][14][16] - Major travel destinations during the Spring Festival include popular cities and scenic spots, with predictions based on historical data and traffic patterns [27][29][31][39] Summary by Sections National Highway Congestion Prediction - Historical trends indicate that the peak return traffic during the Spring Festival has been increasing, with 2023 marking a record high [9][13] - The report forecasts that the peak outbound traffic will occur on February 7 and 8, 2026, while the return peak is expected on February 22 and 23, 2026 [16] Popular Travel Destinations - The top ten popular departure cities for driving during the Spring Festival are predicted to be Guangzhou, Foshan, Shanghai, Shenzhen, Dongguan, Chengdu, Hangzhou, Suzhou, Zhongshan, and Xi'an [28] - The top ten popular travel destinations include Guangzhou, Chongqing, Chengdu, Beijing, Hangzhou, Xi'an, Shanghai, Shenzhen, Suzhou, and Foshan [31] Congested Routes - Key congested highway segments before the Spring Festival include G60 Hukun Expressway in Quzhou, with a congestion delay index of 4.2 and an average speed of 23 km/h [17][18] - During the Spring Festival, the G0421 Xuguang Expressway in Hengyang is expected to experience significant congestion, with a delay index of 3.5 and an average speed of 30 km/h [19][20] Popular Scenic Spots - The report identifies top scenic spots for driving during the Spring Festival, including Xi'an's Datang Night City, Zhoushan's Putuo Mountain Scenic Area, and Chizhou's Jiuhua Mountain Scenic Area [32][36] - The top ten popular ancient towns include Fenghuang Ancient Town, Dali Ancient Town, and Pingyao Ancient Town [39] Popular Islands and Caves - The report highlights popular islands such as Nan'ao Island and Gulangyu Island, predicting high driving traffic to these locations [43][44] - Notable caves include Longmen Grottoes and Yungang Grottoes, which are expected to attract significant visitor traffic during the holiday [47][48]

Core Insights - The 2026 Spring Festival travel season is expected to see significant trends in ride-sharing, particularly for cross-city trips during the holiday period [2][4][5] Group 1: Travel Trends - Peak days for ride-sharing bookings and departures for outbound trips are projected to be February 11 and 12, while return trip peaks are expected on February 22 and 23 [2][5] - The volume of ride-sharing bookings for outbound and return trips will remain high in the days surrounding these peak dates [2][5] - The ratio of ride-sharing bookings for hotel and tourism destinations compared to residential destinations is estimated to be approximately 1:2, indicating a growing trend in holiday travel [4][10][14] Group 2: User Behavior - Over 15% of cross-city ride-sharing bookings for residential destinations are expected to originate directly from workplaces, allowing for more efficient travel for those still working [10][19] - A significant portion of users (about 67.6%) are expected to book rides more than one hour in advance, with over 40.5% booking more than 12 hours ahead [7][10] - The majority of ride-sharing users tend to book their trips within two days of travel, reflecting the flexibility of ride-sharing as a transportation option during the Spring Festival [7][10] Group 3: Popular Routes and Cities - The top five popular routes for return trips are expected to be Shenzhen to Dongguan, Shenzhen to Guangzhou, Shenzhen to Huizhou, Beijing to Langfang, and Shanghai to Suzhou [25][28] - Cities predicted to experience the fastest growth in ride-sharing popularity during the Spring Festival include Chengmai, Wuzhishan, Zhuzhou, Qujing, and Yuxi [4][14][17] - Following the recent opening of Hainan, cities like Danzhou have seen a significant increase in ride-sharing bookings, with some cities reporting over a 145% increase since December 18, 2025 [17][19] Group 4: Changing Travel Patterns - There is a noticeable trend of increased ride-sharing bookings from lower-tier cities to new first-tier cities, with the proportion rising from 7.72% in 2022 to 9.07% in 2025 [20][24] - Conversely, the proportion of bookings from first-tier cities to lower-tier cities has decreased by over 3 percentage points during the same period [20][24]

Core Insights - The 2026 Spring Festival travel period is expected to see a record high of 9.5 billion trips, according to the Ministry of Transport [1] - Gaode's report provides data-driven insights for public travel planning and safety during this peak travel season [1] Travel Planning - The report predicts a "double peak" travel pattern, with the outbound peak expected on February 7 and 8, and the return peak on February 22 and 23 [2] - Short-term congestion is anticipated around noon on February 18 due to traditional visiting customs [2] - Certain highway sections, particularly the G60 Hukun Expressway in the Chuzhou area, are expected to experience severe congestion, with average speeds dropping to 23 km/h [5] - Major transportation hubs like Yuxi Station and Zhuhai Station are also predicted to face significant traffic pressure [5] Diverse Travel Options - Ridesharing services, such as carpooling, are becoming an important supplement to public transportation during the Spring Festival [6] - The report highlights a "time gap" in booking habits, suggesting passengers should book early to secure rides [6] - Safety risks identified include slow-moving vehicles, sudden braking, and nighttime truck traffic, with Gaode's "Eagle Eye" system reducing accident-related complaints by 20% [6] - A new trend of traveling with pets has emerged, with popular routes including Shenzhen-Dongguan and Beijing-Langfang [6] Destination Trends - The report indicates a shift towards thematic travel experiences during the Spring Festival, with cities like Guangzhou, Chongqing, and Chengdu becoming popular self-driving destinations [7] - Three main themes for travel have emerged: - Experiencing traditional customs in ancient cities like Xi'an and Dali [7] - Climbing mountains for blessings at sites like Putuo Mountain and Jiuhua Mountain [10] - Visiting southern islands for warmth, with destinations like Nan'ao Island and Gulangyu Island gaining popularity [10] - Gaode emphasizes the importance of leveraging technology to enhance travel safety and efficiency during this critical period [10]

Core Insights - The 2026 Spring Festival travel period is expected to see a record total of 9.5 billion person-times of cross-regional movement, marking a historical high for the same period [1] - The travel pattern will exhibit significant "double peak" characteristics before and after the festival, with the outbound peak anticipated from February 7 to February 8, and the return peak expected from February 22 to February 23 [1] - Traffic congestion is predicted on the G60 Hukun Expressway in the Chuzhou section, with average speeds dropping to 23 km/h, and several train station areas identified as high congestion zones [1] Industry Trends - The demand for ride-sharing services is expected to peak earlier than passenger demand, with a surge in ride-sharing requests anticipated from February 6 to February 11 [1] - There is a noticeable trend towards personalized travel during the Spring Festival, with "bringing pets" becoming a common note in ride-sharing orders, and popular intercity routes including Shenzhen-Dongguan and Beijing-Langfang [2] - Popular travel choices for the holiday include cultural experiences in ancient cities, island getaways, and mountain climbing for blessings, with cities like Guangzhou, Chongqing, and Chengdu remaining top destinations for self-driving trips [2] Safety Measures - The "Eagle Eye Guardian" system has identified three high-frequency risk scenarios during the Spring Festival travel period: slow-moving vehicles ahead, sudden braking ahead, and nighttime freight vehicles [1] - Proactive warning measures have led to a 20% reduction in complaints related to ride-sharing accidents [1]