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国庆打车攻略来了:预计9月30日晚高峰将提前至15时30分 当天预约出行需求翻倍
Yang Zi Wan Bao Wang·2025-09-25 09:02

Core Insights - The upcoming National Day and Mid-Autumn Festival holidays are expected to drive significant increases in travel demand, with a notable "double peak" in travel patterns observed this year [1][3][5] Group 1: Travel Demand Trends - From September 26, ride-hailing demand is projected to rise sharply, peaking on September 30, with an expected 51% increase in intercity ride-hailing compared to previous periods [1][5] - The evening peak demand is anticipated to increase by 110% compared to pre-holiday levels, with the highest demand occurring between 5:00 PM and 7:00 PM on September 30 [3][5] - The Mid-Autumn Festival on October 6 is expected to create a secondary peak in travel demand, with a 50% increase in ride-hailing compared to pre-holiday levels [3][5] Group 2: Delivery and Logistics - On September 30, delivery demand is expected to rise by approximately 30%, driven by the need for holiday gifts such as crabs and mooncakes, as well as travel-related luggage deliveries [4] - Major cities like Chengdu, Suzhou, and Beijing are predicted to see the highest volume of delivery orders, while cities like Xi'an, Changsha, and Shanghai will experience the fastest growth in order volume [4] Group 3: Car Rental Insights - Car rental bookings are projected to increase by 148% year-on-year, with 70% of these being for intercity rentals, indicating a shift towards a "big transportation + local rental" travel model [6] - The demand for rentals is highest in cities such as Beijing, Chengdu, Guangzhou, and Shenzhen, with significant interest in scenic routes in regions like Sichuan and Yunnan [6] Group 4: Recommendations for Travelers - Industry experts recommend travelers to consider off-peak travel times to avoid high demand periods, particularly on September 30, October 1, and during the return trip on October 6-7 [7] - Booking rides in advance is advised, and travelers should pay attention to pick-up point instructions provided in the app to minimize waiting times [7]