Cited by 83Climate Change and Health ImpactsUrban Heat Island MitigationThermoregulation and physiological responses

Spatiotemporal analysis of regional socio-economic vulnerability change associated with heat risks in Canada

Open access
Ho, Hung Chak, Knudby, Anders, Chi, Guangqing, Aminipouri, Mehdi, Lai, Derrick Yuk-Fo·2018·Applied Geography

Abstract

Excess mortality can be caused by extreme hot weather events, which are increasing in severity and frequency in Canada due to climate change. Individual and social vulnerability factors influence the mortality risk associated with a given heat exposure. We constructed heat vulnerability indices using census data from 2006 and 2011 in Canada, developed a novel design to compare spatiotemporal changes of heat vulnerability, and identified locations that may be increasingly vulnerable to heat. The results suggest that 1) urban areas in Canada are particularly vulnerable to heat, 2) suburban areas and satellite cities around major metropolitan areas show the greatest increases in vulnerability, and 3) heat vulnerability changes are driven primarily by changes in the density of older ages and infants. Our approach is applicable to heat vulnerability analyses in other countries.

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Crossref · 10.1016/j.apgeog.2018.04.015

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  • Combining socioeconomic and demographic factors with spatial modelling can forecast at-risk locations for increased heatwave-related mortality and morbidity.

    “Combining socio economic and demographic factors with spatial modelling can forecast at-risk locations for increased heatwave-related mortality and morbidity.38”

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Research works printed but not linked: 3

  1. Getis A, & Aldstadt J (2010). Constructing the spatial weights matrix using a local statistic In Perspectives on spatial data analysis (pp. 147– 163). Springer Berlin Heidelberg.
  2. Ho HC, Mylroie J, Infante L, and Rodgers J (2014). Fuzzy-based Spatial Modeling Approach to Predict Island Karst Distribution. Environmental Earth Sciences, 71(3), 1369– 1377.
  3. Kosatsky T, King N, & Henry B (2005). How Toronto and Montreal (Canada) respond to heat In Extreme Weather Events and Public Health Responses (pp. 167– 171). Springer Berlin Heidelberg.

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Authors
Ho, H. C., Knudby, A., Chi, G., Aminipouri, M., & Lai, D. Y.-F.
Affiliations
  • Hong Kong Polytechnic University (HK)
  • University of Ottawa (CA)
  • Pennsylvania State University (US)
  • Simon Fraser University (CA)
  • Chinese University of Hong Kong (HK)
Corresponding author
Ho, Hung Chak
Venue
Applied Geography
Publisher
Elsevier BV
Published
2018-06
Volume
95
Pages
61-70
ISSN
0143-6228 (ISSN-L)
OpenAlex
W2801855115
Cited by
83
References
88
Citations by year
2026: 10 · 2025: 13 · 2024: 17 · 2023: 10 · 2022: 12 · 2021: 7 · 2020: 10 · 2019: 3 · 2018: 1
FWCI
2.59
Type
journal article
Language
en
Open access
Locations
  • Applied Geography (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Funders
  • Simon Fraser University and Pacific Institute for Climate Solutions
  • National Science Foundation (1541136)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (#P2C HD041025)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Health Sciences › Medicine › Physiology › Thermoregulation and physiological responses
Keywords
heat vulnerability, heat-related mortality, heat waves, socioeconomic vulnerability, heat vulnerability index, spatiotemporal variation, urban heat, suburbs, satellite cities, population aging, infants, census data, climate change, Canada

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