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Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach
Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921333/ https://www.ncbi.nlm.nih.gov/pubmed/36765331 http://dx.doi.org/10.1186/s12942-023-00326-7 |
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author | Willberg, Elias Poom, Age Helle, Joose Toivonen, Tuuli |
author_facet | Willberg, Elias Poom, Age Helle, Joose Toivonen, Tuuli |
author_sort | Willberg, Elias |
collection | PubMed |
description | Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities. |
format | Online Article Text |
id | pubmed-9921333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99213332023-02-12 Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach Willberg, Elias Poom, Age Helle, Joose Toivonen, Tuuli Int J Health Geogr Research Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities. BioMed Central 2023-02-10 /pmc/articles/PMC9921333/ /pubmed/36765331 http://dx.doi.org/10.1186/s12942-023-00326-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Willberg, Elias Poom, Age Helle, Joose Toivonen, Tuuli Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title | Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title_full | Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title_fullStr | Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title_full_unstemmed | Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title_short | Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
title_sort | cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921333/ https://www.ncbi.nlm.nih.gov/pubmed/36765331 http://dx.doi.org/10.1186/s12942-023-00326-7 |
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