Why eBike Riders Take More Risks (and How to Fix It) – XNITO

GRATIS VERZENDING NAAR A<tc>L</tc><tc>L</tc>E <tc>L</tc>OCATIES IN DE VS, CANADA EN HET VK

Why eBike Riders Take More Risks (and How to Fix It)

 Date: 

  Author: Xnito Team

A Behavioral Science Deep Dive into Risk Compensation Theory

eBikes are designed to make riding easier.

But that same ease may be quietly changing how riders behave — often in ways that increase crash risk without them realizing it.

Across multiple real-world studies, researchers have found that eBike riders frequently travel at higher average speeds than traditional cyclists even when their rule-following behavior stays about the same

This creates the perfect setup for what behavioral scientists call:

Risk compensation

And it may be one of the most overlooked safety factors in modern micromobility.


What Is Risk Compensation?

Risk compensation is the tendency for people to:

Take greater risks when they feel safer

Originally studied in automobile safety research, this psychological effect suggests that when perceived danger decreases, people subconsciously adjust their behavior — often increasing speed, reducing caution, or accepting tighter margins.

In other words:

If a system feels safer…

People may use that safety margin to push harder.

On eBikes, this can show up as:

  • Riding faster through intersections

  • Accepting smaller traffic gaps

  • Overtaking more often

  • Braking later

  • Riding closer to parked cars or driveways

Not because riders want danger —
But because the bike feels more capable.


Why eBikes Change Rider Behavior

Unlike traditional bicycles, eBikes shift the effort-to-speed relationship.

Motor assistance reduces the physical energy required to maintain higher speeds — making behaviors that once required significant effort suddenly feel easy and controllable.

Behavioral models of cycling show that riders naturally balance:

Tradeoff Factor Traditional Bike eBike
Physical effort High at speed Low at speed
Time savings Requires effort Easily achieved
Stability demand Noticeable Less perceived
Preferred cruising speed Lower Higher

By lowering the “cost” of speed, eBikes subtly move the rider’s preferred operating speed upward — even if their risk tolerance hasn’t changed.

That matters because:

Stopping distance increases with the square of speed

A small increase in speed can dramatically reduce the time available to react to hazards — especially at intersections, where naturalistic studies consistently show the highest crash risk


Speed Creates Hidden Risk

Real-world riding studies comparing bicycles and eBikes have found:

Behavior Traditional Bike eBike
Wrong-way riding ~45% ~44%
Signal violations ~70% ~70%
On-road speed Lower Higher
Conflict risk at intersections Elevated Elevated+

In other words:

eBike riders aren’t necessarily breaking more rules.

But they’re entering risky situations faster — which compresses:

  • Reaction time

  • Braking distance

  • Gap-judgment margins

Even modest speed increases can significantly increase near-miss events in visually complex environments such as:

  • Intersections

  • Driveways

  • Parked-car zones

  • Bike-lane intrusions

These are the same areas where naturalistic riding data shows critical events cluster most heavily


The Psychology Behind Risk-Taking on eBikes

Several behavioral mechanisms appear to play a role:

Mechanism How It Affects Riding
Overconfidence Riders trust acceleration & braking capability
Risk misperception Near-misses influence perceived danger more than actual crash rates
Trust in automation Motor assistance reduces active speed monitoring
Familiarity gaps Riders may lack handling skill on heavier bikes
Social norms Seeing others ride fast normalizes speed

Younger or inexperienced riders may also struggle with:

  • Hazard perception

  • Conflict anticipation

  • Combined braking strategy

Experimental training studies have shown that novice eBike riders detect significantly fewer “unmaterialized hazards” — such as emerging vehicles or turning traffic — than experienced riders.

The good news?

Hazard-perception training has been shown to improve detection ability within just one week.


Not All Riders Face the Same Risk

Importantly:

Research does not show that all eBike riders are universally more crash-prone.

Exposure-adjusted studies have found:

Group Crash Likelihood (Adjusted)
General eBike population Similar to bicycles
Older female riders Higher
Riders unfamiliar with their bike Higher
Speed-pedelec users Higher in conflict scenarios

Low-speed balance loss during mounting or stopping appears to be a key contributor in some subgroups — especially when combined with unfamiliar bike handling


How to Reduce Risk Without Giving Up eBike Benefits

The most effective safety strategies aim to:

Align perceived risk with actual risk

Rider Training & Education

  • Teach hazard recognition (especially intersections)

  • Practice combined front + rear braking

  • Slow before sightline breaks

Product & Bike Design

  • Stable frame geometry

  • Predictable assist onset

  • Integrated braking feedback

  • Visibility enhancements

Infrastructure

  • Separated bike lanes

  • Protected intersections

  • Speed-managed facilities

Short hazard-perception training programs have already demonstrated measurable improvements in rider awareness and decision-making in experimental trials.


The Bottom Line

eBikes don’t automatically make riders reckless.

But they do change:

  • Speed preferences

  • Effort perception

  • Confidence levels

  • Reaction windows

And in safety-critical environments — like intersections — those changes can significantly affect crash risk.

Understanding how behavior adapts to perceived safety is essential to making eBike riding not just easier…

But safer.


Sources

https://doi.org/10.3390/ijerph16132308
https://doi.org/10.1016/j.tbs.2020.10.010
https://doi.org/10.1080/15389588.2018.1542138
https://doi.org/10.1109/access.2021.3108039
https://doi.org/10.1371/journal.pone.0268960
https://doi.org/10.1080/15389588.2019.1696963
https://doi.org/10.3390/su14031243
https://doi.org/10.1016/j.aap.2022.106685
https://doi.org/10.3390/designs5040066