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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
Published on: December 18, 2020
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Driving safety assessment for ride-hailing drivers.
Huiying Mao1, Xinwei Deng2, Honggang Jiang3
1Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; Didi Chuxing Technology Co., Beijing, China.
Accident; Analysis and Prevention
|August 2, 2020
Summary
Ride-hailing drivers face crash risks influenced by driving history and operational factors. Key risks include past crashes, long shifts, and peak hour driving, with passenger ratings also playing a role.
Area of Science:
- Transportation Safety
- Traffic Accident Analysis
- Gig Economy Studies
Background:
- Ride-hailing services offer efficient mobility but introduce safety concerns due to a diverse driver pool.
- The increasing prevalence of ride-sharing necessitates an understanding of associated driver risks.
- Non-traditional drivers in the ride-hailing sector present unique safety challenges compared to traditional taxi services.
Purpose of the Study:
- To identify and evaluate crash risk factors specific to ride-hailing drivers.
- To analyze the impact of driving history and operational characteristics on ride-hailing driver crash rates.
- To provide data-driven insights for enhancing safety in the ride-hailing industry.
Main Methods:
- Utilized a Poisson generalized additive model to analyze crash rates and risk factors.
- Examined a large dataset of 189,815 ride-hailing drivers.
- Applied the SHapley Additive exPlanation (SHAP) method for risk factor impact assessment and visualization.
Main Results:
- Crash history, long-shift booking percentage, driving distance, peak hour operations, years driving for the service, and passenger rating were significant risk factors.
- Nonlinear relationships were observed between several factors and crash risk.
- SHAP analysis identified passenger average rating, total driving distance, and crash history as the most influential factors.
Conclusions:
- Passenger ratings, driving distance, and prior crash history are critical determinants of ride-hailing driver crash risk.
- Findings support the development of targeted safety interventions and educational programs for ride-hailing drivers.
- This research provides essential information for informing safety regulations within the evolving ride-hailing sector.
Keywords:
Crash risk factorsGeneral additive modelsOperational characteristicsRide-hailing driversSHapley Additive exPlanationMore Related Videos
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