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Health impact assessment of cycling network expansions in European cities

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dc.contributor.author Mueller, Natalie, 1988-
dc.contributor.author Rojas Rueda, David, 1979-
dc.contributor.author Salmon, Maëlle
dc.contributor.author Martínez, David
dc.contributor.author Ambros, Albert
dc.contributor.author Brand, Christian
dc.contributor.author De Nazelle, Audrey
dc.contributor.author Dons, Evi
dc.contributor.author Gaupp-Berghausen, Mailin
dc.contributor.author Gerike, Regine
dc.contributor.author Götschi, Thomas
dc.contributor.author Iacorossi, Francesco
dc.contributor.author Int Panis, Luc
dc.contributor.author Kahlmeier, Sonja
dc.contributor.author Raser, Elisabeth
dc.contributor.author Nieuwenhuijsen, Mark J.
dc.contributor.author PASTA consortium
dc.date.accessioned 2019-07-23T08:30:20Z
dc.date.available 2019-07-23T08:30:20Z
dc.date.issued 2018
dc.identifier.citation Mueller N, Rojas-Rueda D, Salmon M, Martinez D, Ambros A, Brand C et al. Health impact assessment of cycling network expansions in European cities. Prev Med. 2018;109:62-70. DOI: 10.1016/j.ypmed.2017.12.011
dc.identifier.issn 0091-7435
dc.identifier.uri http://hdl.handle.net/10230/42143
dc.description.abstract We conducted a health impact assessment (HIA) of cycling network expansions in seven European cities. We modeled the association between cycling network length and cycling mode share and estimated health impacts of the expansion of cycling networks. First, we performed a non-linear least square regression to assess the relationship between cycling network length and cycling mode share for 167 European cities. Second, we conducted a quantitative HIA for the seven cities of different scenarios (S) assessing how an expansion of the cycling network [i.e. 10% (S1); 50% (S2); 100% (S3), and all-streets (S4)] would lead to an increase in cycling mode share and estimated mortality impacts thereof. We quantified mortality impacts for changes in physical activity, air pollution and traffic incidents. Third, we conducted a cost-benefit analysis. The cycling network length was associated with a cycling mode share of up to 24.7% in European cities. The all-streets scenario (S4) produced greatest benefits through increases in cycling for London with 1,210 premature deaths (95% CI: 447-1,972) avoidable annually, followed by Rome (433; 95% CI: 170-695), Barcelona (248; 95% CI: 86-410), Vienna (146; 95% CI: 40-252), Zurich (58; 95% CI: 16-100) and Antwerp (7; 95% CI: 3-11). The largest cost-benefit ratios were found for the 10% increase in cycling networks (S1). If all 167 European cities achieved a cycling mode share of 24.7% over 10,000 premature deaths could be avoided annually. In European cities, expansions of cycling networks were associated with increases in cycling and estimated to provide health and economic benefits.
dc.description.sponsorship This work was supported by the European Physical Activity through Sustainable Transportation Approaches (PASTA) project under the European Union Seventh Framework Programme [EC-GA No. 602624]. The sponsors had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Preventive Medicine. 2018;109:62-70
dc.rights © Elsevier http://dx.doi.org/10.1016/j.ypmed.2017.12.011
dc.title Health impact assessment of cycling network expansions in European cities
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.ypmed.2017.12.011
dc.subject.keyword Cost–benefit analysis
dc.subject.keyword Cycling network
dc.subject.keyword Health impact assessment
dc.subject.keyword Mode share
dc.subject.keyword Mortality
dc.subject.keyword Open data
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/602624
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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