Related Experiment Video
Updated: Jun 3, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
Published on: January 26, 2024
Variations in Cycling Distances by Trip Purpose and Socio-Demographic Attributes: Implications for Spatial Scales to
Firas Mohamed1,2, Manoj Chandrabose1,3, Abdur Rahim Mohammad Forkan4
1Centre for Urban Transitions, Swinburne University of Technology, Melbourne 3122, Australia.
Abstract:
To better understand environmental attributes associated with cycling, it is necessary to identify an area within which such attributes are measured. Various sizes of a "buffer" drawn from home have been used for this purpose. The distances adults cycle to/from their homes may inform the determination of empirically supported buffer sizes. We examined the distribution of cycling distances using Australian travel survey data collected between 2012 and 2020. We used a Random Forest model to identify the relative importance of factors influencing participant's cycling distance and then reported variations in cycling distances by the most important factors. Of the 73,142 survey participants who were aged between 20 and 74 and reported at least one trip on the survey day, 1676 (67% men) reported 3446 home-based cycling trips, with a median distance of 3.5 km. The most important factor was trip purpose, followed by gender. The median distances were 1.8 km for utilitarian, 5.3 km for commuting and 3.7 km for recreational cycling trips. Men cycled longer distances than women, particularly for commuting and recreational cycling. The significant variation in cycling distance by trip purpose implies the need for having purpose-specific spatial scales in identifying environmental attributes associated with cycling more accurately.
Related Concept Videos
Ecological Niches
Cross-Sectional Research
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Selected Data About Geographic Locations
Longitudinal Research
What is Variation?
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...

