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.issued
2019-07-23T08:30:20Z
dc.date.issued
2019-07-23T08:30:20Z
dc.identifier
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
http://hdl.handle.net/10230/42143
dc.identifier
http://dx.doi.org/10.1016/j.ypmed.2017.12.011
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.abstract
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
application/pdf
dc.format
application/pdf
dc.relation
Preventive Medicine. 2018;109:62-70
dc.relation
info:eu-repo/grantAgreement/EC/FP7/602624
dc.rights
© Elsevier http://dx.doi.org/10.1016/j.ypmed.2017.12.011
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Cost–benefit analysis
dc.subject
Cycling network
dc.subject
Health impact assessment
dc.title
Health impact assessment of cycling network expansions in European cities
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion