Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution Article Swipe
Junshi Xu
,
Milad Saeedi
,
Jad Zalzal
,
Mingqian Zhang
,
Arman Ganji
,
Keni Mallinen
,
An Wang
,
Marshall Lloyd
,
Alessya Venuta
,
Leora Simon
,
Scott Weichenthal
,
Marianne Hatzopoulou
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2024.170947
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2024.170947
Understanding the relationships between ultrafine particle (UFP) exposure, socioeconomic status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for promoting public health, addressing environmental justice, and ensuring transportation equity. We conducted a large-scale mobile measurement campaign and employed a gradient boost model to generate exposure surfaces using land use, built environment, and meteorological conditions. The Ontario Marginalization Index was used to quantify various indicators of social disadvantage for Toronto's neighborhoods. Our findings reveal that people in socioeconomically disadvantaged areas experience elevated UFP exposures. We highlight significant disparities in accessing sustainable transportation, particularly in areas with higher ethnic concentrations. When factoring in daily mobility, UFP exposure disparities in disadvantaged populations are further exacerbated. Furthermore, individuals who do not generate emissions themselves are consistently exposed to higher UFPs, with active transportation users experiencing the highest UFP exposures both at home and at activity locations. Finally, we proposed a novel index, the Community Prioritization Index (CPI), incorporating three indicators, including air quality, social disadvantage, and sustainable transportation. This index identifies neighborhoods experiencing a triple burden, often situated near major infrastructure hubs with high diesel truck activity and lacking greenspace, marking them as high-priority areas for policy action and targeted interventions.
Related Topics
Concepts
Environmental justice
Disadvantaged
Environmental health
Sustainable transport
Socioeconomic status
Index (typography)
Business
Air quality index
Psychological intervention
Geography
Economic growth
Sustainability
Political science
Population
Economics
Medicine
Psychiatry
World Wide Web
Biology
Law
Meteorology
Ecology
Computer science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.scitotenv.2024.170947
- OA Status
- hybrid
- Cited By
- 7
- References
- 95
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391850183
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391850183Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.scitotenv.2024.170947Digital Object Identifier
- Title
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Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollutionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-15Full publication date if available
- Authors
-
Junshi Xu, Milad Saeedi, Jad Zalzal, Mingqian Zhang, Arman Ganji, Keni Mallinen, An Wang, Marshall Lloyd, Alessya Venuta, Leora Simon, Scott Weichenthal, Marianne HatzopoulouList of authors in order
- Landing page
-
https://doi.org/10.1016/j.scitotenv.2024.170947Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.scitotenv.2024.170947Direct OA link when available
- Concepts
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Environmental justice, Disadvantaged, Environmental health, Sustainable transport, Socioeconomic status, Index (typography), Business, Air quality index, Psychological intervention, Geography, Economic growth, Sustainability, Political science, Population, Economics, Medicine, Psychiatry, World Wide Web, Biology, Law, Meteorology, Ecology, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7Per-year citation counts (last 5 years)
- References (count)
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95Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.highlight | 86 |
| abstract_inverted_index.including | 158 |
| abstract_inverted_index.mobility, | 104 |
| abstract_inverted_index.promoting | 21 |
| abstract_inverted_index.ultrafine | 4 |
| abstract_inverted_index.addressing | 24 |
| abstract_inverted_index.experience | 81 |
| abstract_inverted_index.exposures. | 84 |
| abstract_inverted_index.identifies | 168 |
| abstract_inverted_index.indicators | 65 |
| abstract_inverted_index.locations. | 143 |
| abstract_inverted_index.themselves | 121 |
| abstract_inverted_index.conditions. | 55 |
| abstract_inverted_index.disparities | 88, 107 |
| abstract_inverted_index.greenspace, | 187 |
| abstract_inverted_index.indicators, | 157 |
| abstract_inverted_index.individuals | 115 |
| abstract_inverted_index.large-scale | 34 |
| abstract_inverted_index.measurement | 36 |
| abstract_inverted_index.populations | 110 |
| abstract_inverted_index.significant | 87 |
| abstract_inverted_index.sustainable | 12, 91, 164 |
| abstract_inverted_index.Furthermore, | 114 |
| abstract_inverted_index.consistently | 123 |
| abstract_inverted_index.disadvantage | 68 |
| abstract_inverted_index.environment, | 52 |
| abstract_inverted_index.exacerbated. | 113 |
| abstract_inverted_index.experiencing | 132, 170 |
| abstract_inverted_index.particularly | 93 |
| abstract_inverted_index.Understanding | 0 |
| abstract_inverted_index.accessibility | 14 |
| abstract_inverted_index.disadvantage, | 162 |
| abstract_inverted_index.disadvantaged | 79, 109 |
| abstract_inverted_index.environmental | 25 |
| abstract_inverted_index.high-priority | 191 |
| abstract_inverted_index.incorporating | 155 |
| abstract_inverted_index.neighborhoods | 169 |
| abstract_inverted_index.relationships | 2 |
| abstract_inverted_index.socioeconomic | 8 |
| abstract_inverted_index.Prioritization | 152 |
| abstract_inverted_index.infrastructure | 178 |
| abstract_inverted_index.interventions. | 198 |
| abstract_inverted_index.meteorological | 54 |
| abstract_inverted_index.neighborhoods. | 71 |
| abstract_inverted_index.transportation | 13, 29, 130 |
| abstract_inverted_index.Marginalization | 58 |
| abstract_inverted_index.concentrations. | 99 |
| abstract_inverted_index.transportation, | 92 |
| abstract_inverted_index.transportation. | 165 |
| abstract_inverted_index.socioeconomically | 78 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5014008526 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I185261750 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.89863933 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |