Blaming Cyclists, Invisibilising Drivers: How Motonormativity Shapes Swiss Media Collision Reports

Media reports of collisions both reflect and shape public understanding of road safety. This paper analyses 204 Swiss newspaper articles reporting collisions between car drivers and cyclists. Our analysis shows that these reports reproduce discursive biases rooted in motonormativity. Cyclists are placed at the center of the narrative, while motorists are either omitted or reduced to their vehicles. Passive voice, non-agentive phrasing, and objectifying language implicitly shift blame towards cyclists. Systemic causes are rarely mentioned. Making these biases visible is essential for challenging motonormativity and reframing collisions in ways that promote safer, fairer, and more human-centered mobility.

Authors

Institutions

Publication Details

Journal
Findings
Published
2026-02-23
DOI
https://doi.org/10.32866/001c.157545
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blaming Cyclists, Invisibilising Drivers: How Motonormativity Shapes Swiss Media Collision Reports

Patrick Rérat, Lucca Reymond
Findings
Traffic and Road Safety
article

Blaming Cyclists, Invisibilising Drivers: How Motonormativity Shapes Swiss Media Collision Reports

Patrick Rérat, Lucca Reymond
article en

Abstract

Media reports of collisions both reflect and shape public understanding of road safety. This paper analyses 204 Swiss newspaper articles reporting collisions between car drivers and cyclists. Our analysis shows that these reports reproduce discursive biases rooted in motonormativity. Cyclists are placed at the center of the narrative, while motorists are either omitted or reduced to their vehicles. Passive voice, non-agentive phrasing, and objectifying language implicitly shift blame towards cyclists. Systemic causes are rarely mentioned. Making these biases visible is essential for challenging motonormativity and reframing collisions in ways that promote safer, fairer, and more human-centered mobility.

Findings
Institute for Sustainability (GB)
Openalex Percentile: Top 57%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.