Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map
Background: Urban areas are hot spots for human exposure to air pollution, which originates in large part from traffic. As the urban population continues to grow, a greater number of people risk exposure to traffic-related air pollution (TRAP) and its adverse, costly health effects. In many cities,...
| Authors: | , , , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | Universitat Pompeu Fabra |
| Repository: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/56317 |
| Online Access: | http://hdl.handle.net/10230/56317 http://dx.doi.org/10.1016/j.envint.2023.107805 |
| Access Level: | Open access |
| Keyword: | City Climate Co-Benefits Emissions Exposure Health Intervention Policy Traffic-related air pollution Urban |
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Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| title |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| spellingShingle |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map Khreis, Haneen City Climate Co-Benefits Emissions Exposure Health Intervention Policy Traffic-related air pollution Urban |
| title_short |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| title_full |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| title_fullStr |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| title_full_unstemmed |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| title_sort |
Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map |
| dc.creator.none.fl_str_mv |
Khreis, Haneen Sanchez, Kristen A. Foster, Margaret Burns, Jacob Nieuwenhuijsen, Mark J. Jaikumar, Rohit Ramani, Tara Zietsman, Josias |
| author |
Khreis, Haneen |
| author_facet |
Khreis, Haneen Sanchez, Kristen A. Foster, Margaret Burns, Jacob Nieuwenhuijsen, Mark J. Jaikumar, Rohit Ramani, Tara Zietsman, Josias |
| author_role |
author |
| author2 |
Sanchez, Kristen A. Foster, Margaret Burns, Jacob Nieuwenhuijsen, Mark J. Jaikumar, Rohit Ramani, Tara Zietsman, Josias |
| author2_role |
author author author author author author author |
| dc.subject.none.fl_str_mv |
City Climate Co-Benefits Emissions Exposure Health Intervention Policy Traffic-related air pollution Urban |
| topic |
City Climate Co-Benefits Emissions Exposure Health Intervention Policy Traffic-related air pollution Urban |
| description |
Background: Urban areas are hot spots for human exposure to air pollution, which originates in large part from traffic. As the urban population continues to grow, a greater number of people risk exposure to traffic-related air pollution (TRAP) and its adverse, costly health effects. In many cities, there is a need and scope for air quality improvements through targeted policy interventions, which continue to grow including rapidly changing technologies. Objective: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions aimed at reducing traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits. Methods: This SEM follows a previously peer-reviewed and published protocol with minor deviations, explicitly outlined here. Articles indexed in Public Affairs Index, TRID, Medline and Embase were searched, limited to English, published between January 1, 2000, and June 1, 2020. Covidence was used to screen articles based on previously developed eligibility criteria. Data for included articles was extracted and manually documented into an Excel database. Data visualizations were created in Tableau. Results: We identified 7528 unique articles from database searches and included 376 unique articles in the final SEM. There were 58 unique policy interventions, and a total of 1,139 unique policy scenarios, comprising these interventions and different combinations thereof. The policy interventions fell under 6 overarching policy categories: 1) pricing, 2) land use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services, with the latter being the most studied. For geographic location, 463 policy scenarios were studied in Europe, followed by 355 in Asia, 206 in North America, 57 in South America, 10 in Africa, and 7 in Australia. Alternative fuel technology was the most frequently studied intervention (271 times), followed by vehicle emission regulation (134 times). The least frequently studied interventions were vehicle ownership taxes, and studded tire regulations, studied once each. A mere 3 % of studies addressed all elements of the full-chain-traffic emissions, TRAP, exposures, and health. The evidence recorded for each unique policy scenario is hosted in an open-access, query-able Excel database, and a complementary interactive visualization tool. We showcase how users can find more about the effectiveness of the 1,139 included policy scenarios in reducing, increasing, having mixed or no effect on traffic emissions and/or TRAP. Conclusion: This is the first peer-reviewed SEM to compile international evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP in the context of human exposure and health effects. We also documented reported enablers, barriers, and co-benefits. The open-access Excel database and interactive visualization tool can be valuable resources for practitioners, policymakers, and researchers. Future updates to this work are recommended. Protocol registration: Sanchez, K.A., Foster, M., Nieuwenhuijsen, M.J., May, A.D., Ramani, T., Zietsman, J. and Khreis, H., 2020. Urban policy interventions to reduce traffic emissions and traffic-related air pollution: Protocol for a systematic evidence map. Environment international, 142, p.105826. |
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2023 |
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2023 2023 2023 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/56317 http://dx.doi.org/10.1016/j.envint.2023.107805 |
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http://hdl.handle.net/10230/56317 http://dx.doi.org/10.1016/j.envint.2023.107805 |
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Inglés |
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Inglés |
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Environ Int. 2023 Feb;172:107805 info:eu-repo/grantAgreement/EC/H2020/817754 |
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http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
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Elsevier |
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Elsevier |
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reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
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Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence mapKhreis, HaneenSanchez, Kristen A.Foster, MargaretBurns, JacobNieuwenhuijsen, Mark J.Jaikumar, RohitRamani, TaraZietsman, JosiasCityClimateCo-BenefitsEmissionsExposureHealthInterventionPolicyTraffic-related air pollutionUrbanBackground: Urban areas are hot spots for human exposure to air pollution, which originates in large part from traffic. As the urban population continues to grow, a greater number of people risk exposure to traffic-related air pollution (TRAP) and its adverse, costly health effects. In many cities, there is a need and scope for air quality improvements through targeted policy interventions, which continue to grow including rapidly changing technologies. Objective: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions aimed at reducing traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits. Methods: This SEM follows a previously peer-reviewed and published protocol with minor deviations, explicitly outlined here. Articles indexed in Public Affairs Index, TRID, Medline and Embase were searched, limited to English, published between January 1, 2000, and June 1, 2020. Covidence was used to screen articles based on previously developed eligibility criteria. Data for included articles was extracted and manually documented into an Excel database. Data visualizations were created in Tableau. Results: We identified 7528 unique articles from database searches and included 376 unique articles in the final SEM. There were 58 unique policy interventions, and a total of 1,139 unique policy scenarios, comprising these interventions and different combinations thereof. The policy interventions fell under 6 overarching policy categories: 1) pricing, 2) land use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services, with the latter being the most studied. For geographic location, 463 policy scenarios were studied in Europe, followed by 355 in Asia, 206 in North America, 57 in South America, 10 in Africa, and 7 in Australia. Alternative fuel technology was the most frequently studied intervention (271 times), followed by vehicle emission regulation (134 times). The least frequently studied interventions were vehicle ownership taxes, and studded tire regulations, studied once each. A mere 3 % of studies addressed all elements of the full-chain-traffic emissions, TRAP, exposures, and health. The evidence recorded for each unique policy scenario is hosted in an open-access, query-able Excel database, and a complementary interactive visualization tool. We showcase how users can find more about the effectiveness of the 1,139 included policy scenarios in reducing, increasing, having mixed or no effect on traffic emissions and/or TRAP. Conclusion: This is the first peer-reviewed SEM to compile international evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP in the context of human exposure and health effects. We also documented reported enablers, barriers, and co-benefits. The open-access Excel database and interactive visualization tool can be valuable resources for practitioners, policymakers, and researchers. Future updates to this work are recommended. Protocol registration: Sanchez, K.A., Foster, M., Nieuwenhuijsen, M.J., May, A.D., Ramani, T., Zietsman, J. and Khreis, H., 2020. Urban policy interventions to reduce traffic emissions and traffic-related air pollution: Protocol for a systematic evidence map. Environment international, 142, p.105826.Haneen Khreis received funding from the European Research Council (ERC) under the Horizon 2020 research and innovation programme. The grant agreement number is 817754. This material reflects only the authors’ views, and the Commission is not liable for any use that may be made of the information contained therein.Elsevier202320232023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/56317http://dx.doi.org/10.1016/j.envint.2023.107805reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésEnviron Int. 2023 Feb;172:107805info:eu-repo/grantAgreement/EC/H2020/817754© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/563172026-06-12T07:21:37Z |
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15.812429 |