Literature DB >> 29330030

Health impact assessment of cycling network expansions in European cities.

Natalie Mueller1, David Rojas-Rueda2, Maëlle Salmon2, David Martinez2, Albert Ambros2, Christian Brand3, Audrey de Nazelle4, Evi Dons5, Mailin Gaupp-Berghausen6, Regine Gerike7, Thomas Götschi8, Francesco Iacorossi9, Luc Int Panis10, Sonja Kahlmeier8, Elisabeth Raser6, Mark Nieuwenhuijsen11.   

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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cost–benefit analysis; Cycling network; Health impact assessment; Mode share; Mortality; Open data

Mesh:

Substances:

Year:  2018        PMID: 29330030     DOI: 10.1016/j.ypmed.2017.12.011

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  24 in total

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5.  Heart healthy cities: genetics loads the gun but the environment pulls the trigger.

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6.  Overall health impacts of a potential increase in cycle commuting in Stockholm, Sweden.

Authors:  Johan Nilsson Sommar; Christer Johansson; Boel Lövenheim; Peter Schantz; Anders Markstedt; Magnus Strömgren; Helena Stigson; Bertil Forsberg
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7.  Development of the Impacts of Cycling Tool (ICT): A modelling study and web tool for evaluating health and environmental impacts of cycling uptake.

Authors:  James Woodcock; Ali Abbas; Alvaro Ullrich; Marko Tainio; Robin Lovelace; Thiago H Sá; Kate Westgate; Anna Goodman
Journal:  PLoS Med       Date:  2018-07-31       Impact factor: 11.069

8.  Health Benefits of Physical Activity Related to an Urban Riverside Regeneration.

Authors:  Cristina Vert; Mark Nieuwenhuijsen; Mireia Gascon; James Grellier; Lora E Fleming; Mathew P White; David Rojas-Rueda
Journal:  Int J Environ Res Public Health       Date:  2019-02-05       Impact factor: 3.390

9.  The sharing economy promotes sustainable societies.

Authors:  Zhifu Mi; D'Maris Coffman
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10.  Physical activity-related health and economic benefits of building walkable neighbourhoods: a modelled comparison between brownfield and greenfield developments.

Authors:  Belén Zapata-Diomedi; Claire Boulangé; Billie Giles-Corti; Kath Phelan; Simon Washington; J Lennert Veerman; Lucy Dubrelle Gunn
Journal:  Int J Behav Nutr Phys Act       Date:  2019-02-20       Impact factor: 6.457

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