The Perfect Cycling Family? An Exploratory Analysis of Depictions of Family Cycling

This is an exploratory analysis of 100 ‘family cycling’ images sourced from Google UK’s Image search. No depicted riders presented clearly visible disabilities, and images of larger bodies were rare. Most riders were white. The cycling family was usually portrayed as ‘nuclear’, comprising one man, one woman, and one to three children. Motor vehicles or pedestrians were rarely shown sharing space with people cycling; however, no images showed separated cycling infrastructure. These findings suggest a need to diversify images of ‘family cycling’ in relation to disability, body size, family structure and ethnicity, and including images of newer, separated cycling infrastructure.

Authors

Publication Details

Journal
Findings
Published
2025-09-22
DOI
https://doi.org/10.32866/001c.144444
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
2.18

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article

The Perfect Cycling Family? An Exploratory Analysis of Depictions of Family Cycling

Rachel Aldred, Dulce Pedroso
1 citations
Findings
Urban Transport and Accessibility
2.18
article

The Perfect Cycling Family? An Exploratory Analysis of Depictions of Family Cycling

Rachel Aldred, Dulce Pedroso
article en
1 citations

Abstract

This is an exploratory analysis of 100 ‘family cycling’ images sourced from Google UK’s Image search. No depicted riders presented clearly visible disabilities, and images of larger bodies were rare. Most riders were white. The cycling family was usually portrayed as ‘nuclear’, comprising one man, one woman, and one to three children. Motor vehicles or pedestrians were rarely shown sharing space with people cycling; however, no images showed separated cycling infrastructure. These findings suggest a need to diversify images of ‘family cycling’ in relation to disability, body size, family structure and ethnicity, and including images of newer, separated cycling infrastructure.

Findings
KR Foundation
Openalex Percentile: Top 11%
Urban Transport and Accessibility
2.18
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