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Does telecommuting promote active travel? New evidence from the Netherlands

2026/02/20 by Ting Zhou, Astrid Kemperman, Tao Feng · 1 voice
Health Professions · Social Sciences · #Older Adults Driving Studies #Transportation Planning and Optimization #Urban Transport and Accessibility

paper · doi:10.1016/j.jtrangeo.2026.104606

openalex created_date 2026/02/20 · openalex publication_date 2026/02/20 · openalex updated_date 2026/08/01

Abstract

Telecommuting has been proposed as a strategy to promote sustainable mobility, yet its impact on active travel remains unclear, particularly when considering socio-demographics and telecommuting-related behavioral changes. To address this gap, this study investigates the relationships between telecommuting frequency, telecommuting-related behavioral changes, and the frequency of walking, conventional bike use and e-bike use in the Netherlands. Using data from the 2022 Netherlands Mobility Panel, we estimated a Bayesian Network model. Results show that moderate telecommuting (2–4 days/week) is associated with higher walking frequency, while full-time telecommuting (5+ days) generally is linked to lower likelihoods of frequent conventional bike and e-bike use. Moreover, respondents who reported ‘started to make more trips’ showed higher probabilities of using conventional bikes, whereas those who “started travelling on other days” exhibited distinct patterns of e-bike use, including greater probabilities of occasional use. Additionally, e-bike ownership corresponds to more e-bike use while coinciding with lower possibilities of frequent walking and conventional bike use, indicating a substitution effect. These findings provide empirical insights for policymakers seeking to design telecommuting and mobility policies that encourage active travel. • Analyzed telecommuting and active travel using a Bayesian Network framework. • Moderate telecommuting (2–4 days/week) is associated with higher walking frequency. • Full-time telecommuting (5+ days) is related to frequent bike and e-bike use. • Making more trips is linked to higher probabilities of using conventional bikes. • E - bike ownership is related to lower walking frequency and conventional bike use.

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