The Impact of 30 Km/H Speed Limit Policy on Physical Activity– A Mixed-Methods Natural Experiment in Amsterdam, The Netherlands

Purpose: In this mixed-methods natural experiment study, we evaluated the impact of a speed limit reduction policy (50 to 30 km/h) on physical activity (PA) outcomes in the city of Amsterdam. Methods: In Amsterdam, policy for a city-wide reduction to 30 km/h was implemented on December 8th, 2023. We conducted baseline (November 2023) and follow-up (November 2024) measurements in four intervention and two control sites, based on street-, neighbourhood- and SES-characteristics. We assessed PA and transport behaviour outcomes by inviting 9,679 households for the International Physical Activity Questionnaire (IPAQ) and systematic street observations using an adapted version of Method for Observing pHysical Activity and Wellbeing (MOHAWk). The latter provided additional insight into safety outcomes related to children (e.g. supervision). Changes in PA outcomes between intervention and control groups were analysed using a multilevel linear or negative binomial difference-in-difference analyses (as appropriate). Results: In the survey, a total of 618 residents (>18 years old) participated (55.1 ± 17.5 (standard deviation) years old). There were non-significant increases in self-reported leisure MVPA (97.53 min/week; 95% confidence interval (CI) = –1.09, 196.15), cycling for transport (94.97 min/week; 95% CI = –35.29, 225.23), walking for transport (75.05 min/week; 95% CI = –75.70, 225.80), walking for leisure (27.38 min/week; 95% CI = –62.09, 116.85). Similarly, there were non-significant decreases in self-reported time spent in a car (–35.65 min/week; 95% CI = –188.68, 117.39) and time spent sitting (–92.10 min/week; 95% CI = –556.50, 372.29). In street observations, we observed a total of 16,055 street users over 120 hours (47% adults, 23% children (<12 years old)). We observed street users going up (all age groups) but particularly in children (inter-rater reliability (IRR) = 1.56; CI = 0.96, 2.53). Similar to the survey, we observed non-significant increases in walking among adults (IRR = 1.34; 95% CI = 0.72, 2.49). However, we did not observe a difference in cycling between intervention and control after the implementation of 30 km/h in adults (IRR = 0.90; 95% CI = 0.69, 1.17). For children, we observed positive intervention effect on cycling (IRR = 1.49; 95% CI = 1.01, 2.20). Also, we observed somewhat higher numbers of children under supervision of an adult, although non-significant (IRR = 1.16; 95% CI = 0.89, 1.50). Conclusion: Preliminary findings from this study suggest that 30 km/h speed limits may encourage PA and reduce sedentary behaviour. Some trends indicate increases in PA behaviours and potential shifts from passive to active transport.

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Journal
Baltic Journal of Sport and Health Sciences
Published
2026-01-28
DOI
https://doi.org/10.33607/bjshs.v5isupplement.1922
Primary Topic
Urban Transport and Accessibility
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article
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article

The Impact of 30 Km/H Speed Limit Policy on Physical Activity– A Mixed-Methods Natural Experiment in Amsterdam, The Netherlands

Anna Bornioli, Famke J. M. Mölenberg, Fleur Heuvelman, Pilar García-Gómez et al.
Baltic Journal of Sport and Health Sciences
Urban Transport and Accessibility
article

The Impact of 30 Km/H Speed Limit Policy on Physical Activity– A Mixed-Methods Natural Experiment in Amsterdam, The Netherlands

Anna Bornioli, Famke J. M. Mölenberg, Fleur Heuvelman, Pilar García-Gómez, Carel-Peter Van Erpecum, Nicolette R. Den Braver, Jack Benton, Joline Beulen
article en

Abstract

Purpose: In this mixed-methods natural experiment study, we evaluated the impact of a speed limit reduction policy (50 to 30 km/h) on physical activity (PA) outcomes in the city of Amsterdam. Methods: In Amsterdam, policy for a city-wide reduction to 30 km/h was implemented on December 8th, 2023. We conducted baseline (November 2023) and follow-up (November 2024) measurements in four intervention and two control sites, based on street-, neighbourhood- and SES-characteristics. We assessed PA and transport behaviour outcomes by inviting 9,679 households for the International Physical Activity Questionnaire (IPAQ) and systematic street observations using an adapted version of Method for Observing pHysical Activity and Wellbeing (MOHAWk). The latter provided additional insight into safety outcomes related to children (e.g. supervision). Changes in PA outcomes between intervention and control groups were analysed using a multilevel linear or negative binomial difference-in-difference analyses (as appropriate). Results: In the survey, a total of 618 residents (>18 years old) participated (55.1 ± 17.5 (standard deviation) years old). There were non-significant increases in self-reported leisure MVPA (97.53 min/week; 95% confidence interval (CI) = –1.09, 196.15), cycling for transport (94.97 min/week; 95% CI = –35.29, 225.23), walking for transport (75.05 min/week; 95% CI = –75.70, 225.80), walking for leisure (27.38 min/week; 95% CI = –62.09, 116.85). Similarly, there were non-significant decreases in self-reported time spent in a car (–35.65 min/week; 95% CI = –188.68, 117.39) and time spent sitting (–92.10 min/week; 95% CI = –556.50, 372.29). In street observations, we observed a total of 16,055 street users over 120 hours (47% adults, 23% children (<12 years old)). We observed street users going up (all age groups) but particularly in children (inter-rater reliability (IRR) = 1.56; CI = 0.96, 2.53). Similar to the survey, we observed non-significant increases in walking among adults (IRR = 1.34; 95% CI = 0.72, 2.49). However, we did not observe a difference in cycling between intervention and control after the implementation of 30 km/h in adults (IRR = 0.90; 95% CI = 0.69, 1.17). For children, we observed positive intervention effect on cycling (IRR = 1.49; 95% CI = 1.01, 2.20). Also, we observed somewhat higher numbers of children under supervision of an adult, although non-significant (IRR = 1.16; 95% CI = 0.89, 1.50). Conclusion: Preliminary findings from this study suggest that 30 km/h speed limits may encourage PA and reduce sedentary behaviour. Some trends indicate increases in PA behaviours and potential shifts from passive to active transport.

Baltic Journal of Sport and Health SciencesVol. 5(Supplement)
Erasmus MC (NL), University of Manchester (GB), Barcelona Institute for Global Health (ES), Amsterdam University Medical Centers (NL), Erasmus University Rotterdam (NL)
Sustainable cities and communities
Openalex Percentile: Top 73%
Urban Transport and Accessibility
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