A new method for evaluating the effectiveness of micro-mobility protective equipment

Area of Science:

• Transportation Science
• Road Safety Engineering
• Human Factors in Mobility

Background:

• Micromobility, including e-bikes and e-scooters, is a growing urban transport solution.
• Safety of vulnerable road users (VRUs) in micromobility is a critical concern.
• Effectiveness of protective equipment (PE) for VRUs needs rigorous evaluation.

Purpose of the Study:

• To present a novel data-driven approach for evaluating the effectiveness of micromobility protective equipment (PE).
• To demonstrate the feasibility and practical application of the proposed evaluation method.

Main Methods:

• Utilized a data-driven approach integrating multiple data collection techniques.
• Employed a web-based questionnaire, micro-vehicle sensor kit, and micromobility hazards detector.
• Generated synthetic data for proof-of-concept demonstration due to the early stage of data collection.

Main Results:

• Demonstrated the feasibility of the data-driven approach using synthetic data.
• Illustrated data analysis procedures and expected results for PE effectiveness evaluation.
• Provided a proof-of-concept for assessing the impact of PE on VRU safety.

Conclusions:

• The proposed data-driven method offers a feasible framework for evaluating micromobility PE effectiveness.
• Real-world data collection from vehicles and users is key to validating safety measures.
• This approach can inform strategies to enhance the safety of vulnerable road users in urban environments.