Clarifying bicycling accessibility

There is considerable inconsistency in conceptual and empirical approaches to cycling accessibility assessment. As a consequence, prior research results are largely incomparable. This causes confusion and dilutes the impact of cycling research at a time when a shift toward active transport is paramount. At this stage, researchers and practitioners need conceptual and empirical clarity, as well as methodological convergence and standardization. This article synthesizes ideas and approaches to bicycling accessibility assessments and translates these ideas into a conceptually and empirically clear and validated model. We test and refine an existing cycling accessibility index in three cities in six focal areas: 1) alternative destination categories, 2) cleaning and clustering points of interest, 3) network vs. Euclidean distances, 4) alternative areal analysis units, 5) comparison of modified with original model outputs, 6) sub-model influence assessment, and also validate the index with bicycling ridership data. The resulting index incorporating refined destination categories, cleaned POI data, and Euclidean distances calculated for census statistical areas is transferable and contributes to conceptual and empirical clarity in bicycling accessibility assessment. • We survey, test and extend prior research in bicycling accessibility assessment. • A refined index is based on tests of six focal areas. • Bicycling accessibility can be simplified to a valid activity-based approach. • Separating infrastructure from accessibility modelling improves conceptual clarity. • Infrastructure can be included in a broader bikeability assessment.

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Publication Details

Journal
Journal of Transport Geography
Published
2025-10-21
DOI
https://doi.org/10.1016/j.jtrangeo.2025.104450
Primary Topic
Urban Transport and Accessibility
Type
article
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article

Clarifying bicycling accessibility

Scott N. Lieske, Simone Leão, Richard J. Buning, Dorina Pojani et al.
Journal of Transport Geography
Urban Transport and Accessibility
article

Clarifying bicycling accessibility

Scott N. Lieske, Simone Leão, Richard J. Buning, Dorina Pojani, Lihong Zhang
article en

Abstract

There is considerable inconsistency in conceptual and empirical approaches to cycling accessibility assessment. As a consequence, prior research results are largely incomparable. This causes confusion and dilutes the impact of cycling research at a time when a shift toward active transport is paramount. At this stage, researchers and practitioners need conceptual and empirical clarity, as well as methodological convergence and standardization. This article synthesizes ideas and approaches to bicycling accessibility assessments and translates these ideas into a conceptually and empirically clear and validated model. We test and refine an existing cycling accessibility index in three cities in six focal areas: 1) alternative destination categories, 2) cleaning and clustering points of interest, 3) network vs. Euclidean distances, 4) alternative areal analysis units, 5) comparison of modified with original model outputs, 6) sub-model influence assessment, and also validate the index with bicycling ridership data. The resulting index incorporating refined destination categories, cleaned POI data, and Euclidean distances calculated for census statistical areas is transferable and contributes to conceptual and empirical clarity in bicycling accessibility assessment. • We survey, test and extend prior research in bicycling accessibility assessment. • A refined index is based on tests of six focal areas. • Bicycling accessibility can be simplified to a valid activity-based approach. • Separating infrastructure from accessibility modelling improves conceptual clarity. • Infrastructure can be included in a broader bikeability assessment.

Journal of Transport GeographyVol. 129
The University of Queensland (AU)
Openalex Percentile: Top 69%
Urban Transport and Accessibility
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Clarifying bicycling accessibility — Scott N. Lieske, Simone Leão, et al. · Journal of Transport Geography (2025) | TGRS Research Map | TGRS