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Related Experiment Video

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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

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Published on: June 9, 2020

Road user behaviour changes following a self-explaining roads intervention.

Hamish W Mackie¹, Samuel G Charlton, Peter H Baas

¹Transport Engineering Research NZ Ltd/Mackie Research and Consulting Ltd, P.O. Box 106573, Auckland 1143, New Zealand.

Accident; Analysis and Prevention

|August 8, 2012

Summary

Self-explaining roads (SER) improve safety by guiding driver behavior. This approach reduced crashes by 30% and costs by 86%, creating safer, user-friendly environments for all road users.

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Area of Science:

Urban planning
Traffic engineering
Behavioral psychology

Background:

The self-explaining roads (SER) approach aims to enhance road safety and user-friendliness through intuitive road design.
Previous implementation in Auckland showed reduced speeds and improved speed consistency.

Purpose of the Study:

To comprehensively assess the impact of the SER intervention on road user activity and behavior.
To analyze changes in road user interactions following SER implementation.

Main Methods:

Video data collected across nine locations before and after SER construction.
Development of road user behavior categories for diverse road users and locations.
Systematic coding of video data to quantify behavioral changes.

Main Results:

Post-SER, local roads saw more pedestrians, less uniform lane keeping, reduced signaling, and lower through traffic.
Pedestrian freedom increased on local roads, suggesting a perception of enhanced safety.
These behavioral shifts were distinct on local roads compared to collector roads, aligning with SER objectives.

Conclusions:

The SER approach successfully altered road user behavior, creating distinct environments for local and collector roads.
Observed behavioral changes, particularly increased pedestrian presence and reduced traffic speeds, indicate a more user-friendly and safer road network.
The study reinforces SER's effectiveness in matching road user behavior to road function.