The Analysis of Classification and Spatiotemporal Distribution Characteristics of Ride-Hailing Driver's Driving...

Area of Science:

• Transportation Science
• Traffic Safety
• Behavioral Analysis

Background:

• Ride-hailing driver monitoring is crucial for targeted training and service safety.
• Previous research has not adequately addressed temporal and spatial variations in driving styles.
• Understanding these variations can inform effective driver management policies.

Purpose of the Study:

• To analyze the temporal and spatial characteristics of ride-hailing driver styles using trajectory data.
• To investigate how driving styles vary over time and across different road environments (segments vs. intersections).
• To provide insights for improving driver training and road safety management.

Main Methods:

• Utilized trajectory data from 34,167 ride-hailing drivers.
• Employed k-means clustering to categorize driver behavior.
• Analyzed driving styles across temporal (daily) and spatial (road segments, intersections) dimensions.
• Examined speed, acceleration, and deceleration distributions.

Main Results:

• Only 31.79% of drivers maintained a consistent driving style throughout the day.
• Aggressive driving styles were more pronounced in road segments.
• Conservative driving styles were more evident at intersections.
• Significant differences in speed and acceleration/deceleration patterns were observed based on driving style and location.

Conclusions:

• Driving styles of ride-hailing drivers exhibit significant temporal and spatial variability.
• Driver behavior is context-dependent, with distinct patterns observed on road segments versus intersections.
• Findings offer valuable data for developing adaptive driver training programs and enhancing road safety strategies.