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Riding behavior of delivery riders at unsignalized intersections: an observational study
Yunxin Chang1, Jinnuo Li1, Huarong Wang1
1Department of Traffic Psychology, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China.
Traffic Injury Prevention
|August 7, 2026
Summary
Professional delivery riders in China exhibit significantly more hazardous riding behaviors, especially in congested traffic and when interacting with motor vehicles. Occupational demands likely contribute to these increased risks at unsignalized intersections.
Area of Science:
- Traffic safety research
- Behavioral analysis
- Urban mobility studies
Background:
- Professional delivery riders in China face rising traffic crash rates.
- Electric bicycle usage is prevalent, leading to mixed traffic environments.
- Unsignalized intersections pose unique challenges for road user interactions.
Purpose of the Study:
- To identify and analyze risk factors for hazardous riding behavior among electric bicycle delivery riders.
- To compare riding behaviors of delivery riders versus other electric bicycle riders.
- To examine influences on riding behavior during potential conflicts at unsignalized intersections.
Main Methods:
- Observational study at two unsignalized intersections in Nantong City.
- Systematic video coding and analysis of 1,558 potential conflict events.
- Descriptive statistics, chi-square tests, and logistic regression were employed.
Main Results:
- Delivery riders showed more hazardous behaviors than other riders, particularly in congested traffic and when interacting with motor vehicles.
- Approximately 20% of all electric bicycle riders exhibited hazardous behaviors.
- Professional delivery riders were 1.88 times more likely to engage in risky behavior.
Conclusions:
- Hazardous riding behavior is influenced by traffic conditions, rider demographics, and conflict objects.
- Congested traffic and interactions with motor vehicles heighten risks for professional delivery riders.
- Occupational demands, like tight schedules, impact delivery riders' strategies and safety.
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