Group 1 - The core point of the article highlights Meituan's comprehensive upgrade of its "No Red Light" safety incentive program, which aims to reward delivery riders for not running red lights, with cash rewards expected to benefit millions of riders nationwide [1][2] - As of December 2, the program will cover nearly 200 cities across China, with a maximum reward for top-performing riders increased from 8,888 yuan to 10,000 yuan [1] - Since the launch of the program in April 2025, over 440,000 riders have benefited from cash incentives for maintaining a zero red light running record while completing a certain number of orders [1] Group 2 - Meituan has implemented additional safety measures, including the gradual elimination of penalties for riders who exceed time limits and the introduction of an "Anzhun Card" system to guide rider behavior [1] - The company has conducted over 2,000 safety awareness campaigns and organized 89,000 safety training sessions, reaching 2.41 million riders to help them adapt to new regulations [1] - Data indicates a significant decrease in the rate of riders running red lights, with a 15% year-on-year reduction in traffic accidents involving Meituan riders, and a stable helmet-wearing rate of approximately 98% among dedicated delivery riders [2]

Core Insights - Meituan has reported a 15% year-on-year decrease in traffic accidents involving its delivery riders for 2025, achieved through systematic governance aimed at reducing behaviors such as running red lights and riding against traffic [1][2] - Starting from December 2, Meituan launched a nationwide safety incentive program in nearly 200 cities, rewarding riders with cash for not running red lights, with an estimated one million riders expected to benefit [1][2] Governance Strategy - The company has shifted its traffic safety governance strategy from "negative control" to "positive incentives," which includes the cancellation of penalties for riders who exceed time limits [1][2] - Meituan has established a "No Running Red Light Award" and a safety incentive pool totaling 100 million yuan, where riders can earn cash rewards by maintaining a record of zero red light violations and completing a certain number of orders [1][2] Participation and Rewards - The safety incentive program has already benefited over 440,000 riders across nearly 200 cities [1][2] - Meituan has introduced a "Safety Star" award, providing cash rewards ranging from 8,888 to 10,000 yuan to top-performing riders who do not run red lights, with payments already being processed [1][2]

Core Viewpoint - The Shanghai traffic management department has introduced a "Traffic Safety Code" management mechanism for delivery riders, using a three-color system (green, yellow, red) to indicate safety levels, which directly affects their employment qualifications and performance assessments [1] Group 1: Regulatory Measures - The new mechanism aims to enhance traffic safety awareness among riders, delivery stations, and platform companies through measures such as order restrictions and performance evaluations [1] - Meituan has begun promoting the safety code among riders in Shanghai, implementing educational measures and order restrictions based on the severity of traffic violations [1][3] Group 2: Incentives for Compliance - Meituan is also introducing positive incentives for riders who comply with traffic regulations, incorporating traffic safety performance into their assessment system across over 100 cities [3] - Riders can earn safety points for maintaining safe driving practices, with potential rewards reaching up to thousands of yuan monthly, along with additional benefits like exemption cards and discount coupons [3][4] Group 3: Impact on Delivery Efficiency - During the trial period, over 20,000 riders benefited from the program, with a reported 26% decrease in red-light violations among dedicated riders, while maintaining stable delivery punctuality rates [4] - Meituan has implemented several measures to alleviate delivery pressure, including changing delivery time displays to time ranges and upgrading algorithms to consider various factors affecting delivery times [4]