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Dutch Cycling: Quantifying the Health and Related Economic Benefits
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- Elliot Fishman
- At the time of the study, the authors were with the Department of Human Geography and Spatial Planning, Faculty of Geoscience, Utrecht University, Utrecht, The Netherlands. Elliot Fishman was also with the Institute for Sensible Transport, Melbourne, Australia. Paul Schepers was also with the Ministry of Infrastructure and the Environment, Rijswijk, The Netherlands.
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- Paul Schepers
- At the time of the study, the authors were with the Department of Human Geography and Spatial Planning, Faculty of Geoscience, Utrecht University, Utrecht, The Netherlands. Elliot Fishman was also with the Institute for Sensible Transport, Melbourne, Australia. Paul Schepers was also with the Ministry of Infrastructure and the Environment, Rijswijk, The Netherlands.
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- Carlijn Barbara Maria Kamphuis
- At the time of the study, the authors were with the Department of Human Geography and Spatial Planning, Faculty of Geoscience, Utrecht University, Utrecht, The Netherlands. Elliot Fishman was also with the Institute for Sensible Transport, Melbourne, Australia. Paul Schepers was also with the Ministry of Infrastructure and the Environment, Rijswijk, The Netherlands.
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Description
<jats:p> The Netherlands is well known for their high bicycle use. We used the Health Economic Assessment Tool and life table calculations to quantify the population-level health benefits from Dutch cycling levels. Cycling prevents about 6500 deaths each year, and Dutch people have half-a-year-longer life expectancy because of cycling. These health benefits correspond to more than 3% of the Dutch gross domestic product. Our study confirmed that investments in bicycle-promoting policies (e.g., improved bicycle infrastructure and facilities) will likely yield a high cost–benefit ratio in the long term. </jats:p>
Journal
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- American Journal of Public Health
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American Journal of Public Health 105 (8), e13-e15, 2015-08
American Public Health Association
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Details 詳細情報について
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- CRID
- 1362544418998050560
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- ISSN
- 15410048
- 00900036
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- Data Source
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- Crossref