The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index, and 1 are not checked yet.
Assessing Vulnerability to Urban Heat: A Study of Disproportionate Heat Exposure and Access to Refuge by Socio-Demographic Status in Portland, Oregon
Open accessAbstract
Extreme urban heat is a powerful environmental stressor which poses a significant threat to human health and well-being. Exacerbated by the urban heat island phenomenon, heat events are expected to become more intense and frequent as climate change progresses, though we have limited understanding of the impact of such events on vulnerable populations at a neighborhood or census block group level. Focusing on the City of Portland, Oregon, this study aimed to determine which socio-demographic populations experience disproportionate exposure to extreme heat, as well as the level of access to refuge in the form of public cooling centers or residential central air conditioning. During a 2014 heat wave, temperature data were recorded using a vehicle-traverse collection method, then extrapolated to determine average temperature at the census block group level. Socio-demographic factors including income, race, education, age, and English speaking ability were tested using statistical assessments to identify significant relationships with heat exposure and access to refuge from extreme heat. Results indicate that groups with limited adaptive capacity, including those in poverty and non-white populations, are at higher risk for heat exposure, suggesting an emerging concern of environmental justice as it relates to climate change. The paper concludes by emphasizing the importance of cultural sensitivity and inclusion, in combination with effectively distributing cooling centers in areas where the greatest burden befalls vulnerable populations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Instead, research linking intracity differences in heat exposure to sociodemographic factors has typically been done in an ad hoc manner for a small number of individual cities23,29–32.”
From Disproportionate exposure to urban heat island intensity across major US cities (2021) · cites this paper as [23]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“studies on the city have recently shown that racialized populations experience disproportionate exposure to extreme heat and have less access to refuge from high temperatures, be it green spaces or cooling centers (Nesbitt and Meitner, 2016;Voelkel et al., 2018).”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Voelkel et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Portland has a long history of environmental racism, from redlining policies in the 20th century to the ongoing exclusion of non-white and low-income populations from green amenities, as studies on the city have recently shown that racialized populations experience disproportionate exposure to extreme heat and have less access to refuge from high temperatures, be it green spaces or cooling centers”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Voelkel et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although this choice does not diminish the environmental value of such initiatives, adaptation projects are shown to have a greater social impact on poorer neighborhoods, where residents are generally more vulnerable to heat (e.g., due to advanced age or pre-existing chronic medical conditions) and have less access to cooling options (Nesbitt and Meitner, 2016;Voelkel et al., 2018).”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Voelkel et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although this choice does not diminish the environmental value of such initiatives, adaptation projects are shown to have a greater social impact on poorer neighborhoods, where residents are generally more vulnerable to heat (e.g., due to advanced age or pre-existing chronic medical conditions) and have less access to cooling options(Nesbitt and Meitner, 2016;Voelkel et al., 2018).”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Voelkel et al., 2018
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In urban heat research, vulnerability is commonly associated with environmental, demographic, social, and urban-form characteristics that increase sensitivity or reduce coping capacity under hot conditions [33-35].”
From GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment (2026) · cites this paper as [34]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Small-scale case studies have found disparities in the distribution of urban heat island intensity within single cities23 or differences in exposure among population groups within a few cities in different countries24–26.”
From Disproportionate exposure to urban heat island intensity across major US cities (2021) · cites this paper as [23]
The cited source says what the claim attributes to it.
In the citing paper
“These findings provide comprehensive evidence supporting the narrative presented by earlier case studies that minority and low-income communities bear the brunt of the urban heat island effect23,25,26,29–32,35, air temperature23, and heat stress31 in individual or multicity studies.”
From Disproportionate exposure to urban heat island intensity across major US cities (2021) · cites this paper as [23]
The cited source says what the claim attributes to it.
In the citing paper
“Several recent studies have shown that vulnerability-oriented heat assessments benefit from integrating both social indicators and spatial characteristics of the urban fabric [34, 35].”
From GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment (2026) · cites this paper as [34]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
MORAN, P. A. P. (1950) · Biometrika · doi:10.1093/biomet/37.1-2.17 · Cited by 8,622
World Urbanization Prospects: The 1996 Revision
Brockerhoff, M. P., & Nations, U. (1998) · Population and Development Review · doi:10.2307/2808041 · Cited by 5,900
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
A framework for vulnerability analysis in sustainability science
Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Selin, N. E., Kasperson, J. X., Luers, A. L., Martello, M. L., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1231335100 · Cited by 4,378
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
Adaptive capacity and human cognition: The process of individual adaptation to climate change
Grothmann, T., & Patt, A. (2005) · Global Environmental Change · doi:10.1016/j.gloenvcha.2005.01.002 · Cited by 1,661
Yohe, G., & Tol, R. S. J. (2002) · Global Environmental Change · doi:10.1016/s0959-3780(01)00026-7 · Cited by 1,306
Normal walking speed: a descriptive meta-analysis
Bohannon, R. W., & Andrews, A. W. (2011) · Physiotherapy · doi:10.1016/j.physio.2010.12.004 · Cited by 926
Buyantuev, A., & Wu, J. (2009) · Landscape Ecology · doi:10.1007/s10980-009-9402-4 · Cited by 828
Mapping community determinants of heat vulnerability
Reid, C. E., O’Neill, M. S., Gronlund, C. J., Brines, S. J., Brown, D. G., Diez-Roux, A. V., & Schwartz, J. (2009) · Environmental Health Perspectives · doi:10.1289/ehp.0900683 · Cited by 805
Research works printed but not linked: 1
- Szasz, A. (1994). Ecopopulism: Toxic Waste and the Movement for Environmental Justice, University of Minnesota Press.
Cited by
Sorted by citations
Hoffman, J. S., Shandas, V., & Pendleton, N. (2020) · Climate · doi:10.3390/cli8010012 · Cited by 842
Self-citationDisproportionate exposure to urban heat island intensity across major US cities
Hsu, A., Sheriff, G., Chakraborty, T., & Manya, D. (2021) · Nature Communications · doi:10.1038/s41467-021-22799-5 · Cited by 846
Qian, Y., Chakraborty, T., Li, J., Li, D., He, C., Sarangi, C., Chen, F., Yang, X., & Leung, L.-Y. R. (2022) · Advances in Atmospheric Sciences · doi:10.1007/s00376-021-1371-9 · Cited by 379
Amorim-Maia, A. T., Anguelovski, I., Chu, E., & Connolly, J. (2022) · Urban Climate · doi:10.1016/j.uclim.2021.101053 · Cited by 328
Envisioning environmental equity: climate change, health, and racial justice
Deivanayagam, T. A., English, S., Hickel, J., Bonifacio, J., Guinto, R., Hill, K. X., Huq, M., Issa, R., Mulindwa, H., Nagginda, H. P., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(23)00919-4 · Cited by 260
Metadata
- Authors
- Voelkel, J., Hellman, D., Sakuma, R., & Shandas, V.
- Affiliations
- Portland State University (US)
- Peace Winds Japan, Tokyo 151-0063, Japan
- Corresponding author
- Shandas, Vivek
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2018-03-30
- Volume
- 15
- Issue
- 4
- Pages
- 640
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC5923682
- OpenAlex
- W2794659326
- Cited by
- 278
- References
- 52
- Citations by year
- 2026: 49 · 2025: 38 · 2024: 44 · 2023: 52 · 2022: 34 · 2021: 33 · 2020: 17 · 2019: 10 · 2018: 1
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PDXScholar (Portland State University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1444755)
- Portland State University
- U.S. Forest Service (17-DG-11132544-014)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Keywords
- urban heat, urban heat island, heat exposure, vulnerable populations, sociodemographic disparities, cooling centers, central air conditioning, environmental justice, climate change, heat waves, poverty, race, Portland, Oregon, census block groups
- MeSH terms
- Adult, Aged, Cities, Environmental Exposure, Hot Temperature, Humans, Middle Aged, Oregon, Residence Characteristics, Socioeconomic Factors, Urban Health, Heat Stress Disorders, Vulnerable Populations, Health Status Disparities, Young Adult, Climate Change
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
