Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility

Vehicular traffic is one of the major sources of air pollution in European cities. This work aims to understand which characteristics of the urban environment could influence mobility-related air pollution, quantify the health impacts of exposure to traffic-derived PM<sub>2.5</sub> and N...

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Main Authors: Cristina Reche, Aurelio Tobias, Mar Viana
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/13/4/598
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author Cristina Reche
Aurelio Tobias
Mar Viana
author_facet Cristina Reche
Aurelio Tobias
Mar Viana
author_sort Cristina Reche
collection DOAJ
description Vehicular traffic is one of the major sources of air pollution in European cities. This work aims to understand which characteristics of the urban environment could influence mobility-related air pollution, quantify the health impacts of exposure to traffic-derived PM<sub>2.5</sub> and NO<sub>2</sub> concentrations, and assess the potential health benefits expected from traffic interventions. The health benefits modeled are intended to provide a set of comparable data to support decision-makers and encourage informed decision-making to design healthier cities. Targeting a large geographical coverage, 12 European cities from 9 countries were comparatively assessed in terms of mean daily traffic volume/area, the number of public transport stops/area, and the percentage of green and outdoor leisure areas, among other urban indicators. This was implemented using an open-source data mining tool, which was seen as a useful engine to identify potential strategies to improve air quality. The comparison of urban indicators in the selected cities evidenced two trends: (a) cities with the most heterogeneous distribution of public transport stops, as an indicator of poor accessibility, are also those with the lowest proportion of km dedicated to cycleways and footways, highlighting the need in these cities for more sustainable mobility management; and (b) the percentage of green and outdoor leisure areas may influence the share of journeys by bicycle, pointing out that promoting the perception of green routes is relevant to enhance the potential of active transport modes. Socioeconomic factors can be key determinants of the urban indicators and would need further consideration. For the health impact assessment (HIA), two baseline scenarios were evaluated and compared. One is based on mean annual traffic contributions to PM<sub>2.5</sub> concentrations in each target city (ranging between 1.9 and 13 µg/m<sup>3</sup>), obtained from the literature, and the second is grounded on mean annual NO<sub>2</sub> concentrations at all available traffic and urban background stations within each city (17.2–83.5 µg/m<sup>3</sup>), obtained from the European Environment Agency database. The intervention scenarios modeled were designed based on traffic mitigation strategies in the literature, and set to ranges of 6–50% in traffic-derived PM<sub>2.5</sub> concentrations and of 4–12.5% in NO<sub>2</sub> concentrations. These scenarios could result in only a 1.7% (0.6–4%) reduction in premature mortality due to exposure to traffic-derived PM<sub>2.5</sub>, and 1.0% (0.4–2%) due to exposure to NO<sub>2</sub>, as the mean for all the cities. This suggests that more ambitious pollution abatement strategies should be targeted.
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spelling doaj.art-8f93162512c1415892b67e8afd68f08a2023-12-01T00:47:15ZengMDPI AGAtmosphere2073-44332022-04-0113459810.3390/atmos13040598Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and MobilityCristina Reche0Aurelio Tobias1Mar Viana2Institute of Environmental Assessment and Water Research (IDAEA)-CSIC, 08034 Barcelona, SpainInstitute of Environmental Assessment and Water Research (IDAEA)-CSIC, 08034 Barcelona, SpainInstitute of Environmental Assessment and Water Research (IDAEA)-CSIC, 08034 Barcelona, SpainVehicular traffic is one of the major sources of air pollution in European cities. This work aims to understand which characteristics of the urban environment could influence mobility-related air pollution, quantify the health impacts of exposure to traffic-derived PM<sub>2.5</sub> and NO<sub>2</sub> concentrations, and assess the potential health benefits expected from traffic interventions. The health benefits modeled are intended to provide a set of comparable data to support decision-makers and encourage informed decision-making to design healthier cities. Targeting a large geographical coverage, 12 European cities from 9 countries were comparatively assessed in terms of mean daily traffic volume/area, the number of public transport stops/area, and the percentage of green and outdoor leisure areas, among other urban indicators. This was implemented using an open-source data mining tool, which was seen as a useful engine to identify potential strategies to improve air quality. The comparison of urban indicators in the selected cities evidenced two trends: (a) cities with the most heterogeneous distribution of public transport stops, as an indicator of poor accessibility, are also those with the lowest proportion of km dedicated to cycleways and footways, highlighting the need in these cities for more sustainable mobility management; and (b) the percentage of green and outdoor leisure areas may influence the share of journeys by bicycle, pointing out that promoting the perception of green routes is relevant to enhance the potential of active transport modes. Socioeconomic factors can be key determinants of the urban indicators and would need further consideration. For the health impact assessment (HIA), two baseline scenarios were evaluated and compared. One is based on mean annual traffic contributions to PM<sub>2.5</sub> concentrations in each target city (ranging between 1.9 and 13 µg/m<sup>3</sup>), obtained from the literature, and the second is grounded on mean annual NO<sub>2</sub> concentrations at all available traffic and urban background stations within each city (17.2–83.5 µg/m<sup>3</sup>), obtained from the European Environment Agency database. The intervention scenarios modeled were designed based on traffic mitigation strategies in the literature, and set to ranges of 6–50% in traffic-derived PM<sub>2.5</sub> concentrations and of 4–12.5% in NO<sub>2</sub> concentrations. These scenarios could result in only a 1.7% (0.6–4%) reduction in premature mortality due to exposure to traffic-derived PM<sub>2.5</sub>, and 1.0% (0.4–2%) due to exposure to NO<sub>2</sub>, as the mean for all the cities. This suggests that more ambitious pollution abatement strategies should be targeted.https://www.mdpi.com/2073-4433/13/4/598health benefitsburden of diseasemitigation strategiessource apportionmentmodal splitlow emission zones
spellingShingle Cristina Reche
Aurelio Tobias
Mar Viana
Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
Atmosphere
health benefits
burden of disease
mitigation strategies
source apportionment
modal split
low emission zones
title Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
title_full Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
title_fullStr Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
title_full_unstemmed Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
title_short Vehicular Traffic in Urban Areas: Health Burden and Influence of Sustainable Urban Planning and Mobility
title_sort vehicular traffic in urban areas health burden and influence of sustainable urban planning and mobility
topic health benefits
burden of disease
mitigation strategies
source apportionment
modal split
low emission zones
url https://www.mdpi.com/2073-4433/13/4/598
work_keys_str_mv AT cristinareche vehiculartrafficinurbanareashealthburdenandinfluenceofsustainableurbanplanningandmobility
AT aureliotobias vehiculartrafficinurbanareashealthburdenandinfluenceofsustainableurbanplanningandmobility
AT marviana vehiculartrafficinurbanareashealthburdenandinfluenceofsustainableurbanplanningandmobility