Assessing the environmental justice implications of seismic risk in Ottawa-Gatineau and Montreal metropolitan areas

This study investigates distributive environmental injustices in seismic risk exposure across urban areas of Ottawa-Gatineau and Montreal, testing the hypothesis that socially vulnerable communities face disproportionate seismic hazards. Using geographically aggregated data from Canada's probabilistic seismic risk model and the 2021 national census, we examine spatial heterogeneity in the relationships between race/ethnicity, socioeconomic vulnerability, and seismic risk. Social vulnerability was measured through economic insecurity and neighbourhood instability indices. The study uses separate geostatistical models to assess spatial heterogeneity and endogeneity. To address potential endogeneity in global ordinary least squares regression, we apply two-stage least squares regression with instrumental variables (e.g., rural areas, dwelling density) for robust global estimates. Spatial variability has been assessed using multiscale geographically weighted regression for more localized insights. Bivariate local indicators of spatial association cluster mapping further identify risk hotspots and high-risk socioeconomically disadvantaged areas for targeted interventions and disaster risk reduction programs. Findings reveal that recent immigrants, seniors, lone-parent households, and visible minorities are significantly associated with seismic risk in both regions. In Montreal, higher risk correlates with populations living alone, low-income individuals, those without a high school diploma, and non-official language speakers. In Ottawa-Gatineau, seismic risk is more strongly linked to seniors, visible minorities, and lone-parent families. Older housing consistently emerges as a critical built-environmental vulnerability. These results underscore the need for region-specific policies that integrate social and structural risk factors into disaster mitigation. The study contributes to environmental justice and social vulnerability literature, advocating for vulnerability-based risk management and targeted urban resilience strategies. • Socio-environmental inequities in seismic risk exposure are spatially heterogeneous. • Socially vulnerable residents face most severe seismic risk-related inequalities. • Risk hotspots shift locally when hazard integrates with instability or insecurity. • Neighbourhood instability factors exert a stronger influence over high seismic risk. • Recent immigrants experience higher seismic risk-related racial/ethnic inequalities.

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Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-04-24
DOI
https://doi.org/10.1016/j.ijdrr.2025.105516
Citations
2
Primary Topic
Environmental Justice and Health Disparities
Type
article
Field-Weighted Citation Impact
8.40

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article

Assessing the environmental justice implications of seismic risk in Ottawa-Gatineau and Montreal metropolitan areas

Daniel Henstra, Mostafa Jahangir, Daniele Malomo, Jason Thistlethwaite et al.
2 citations
International Journal of Disaster Risk Reduction
Environmental Justice and Health Disparities
8.40
article

Assessing the environmental justice implications of seismic risk in Ottawa-Gatineau and Montreal metropolitan areas

Daniel Henstra, Mostafa Jahangir, Daniele Malomo, Jason Thistlethwaite, Angela Spinney, Bora Pulatsu, Liton Chakraborty, Kasra Motlaghzadeh, Sheldon Andrews
article en
2 citations

Abstract

This study investigates distributive environmental injustices in seismic risk exposure across urban areas of Ottawa-Gatineau and Montreal, testing the hypothesis that socially vulnerable communities face disproportionate seismic hazards. Using geographically aggregated data from Canada's probabilistic seismic risk model and the 2021 national census, we examine spatial heterogeneity in the relationships between race/ethnicity, socioeconomic vulnerability, and seismic risk. Social vulnerability was measured through economic insecurity and neighbourhood instability indices. The study uses separate geostatistical models to assess spatial heterogeneity and endogeneity. To address potential endogeneity in global ordinary least squares regression, we apply two-stage least squares regression with instrumental variables (e.g., rural areas, dwelling density) for robust global estimates. Spatial variability has been assessed using multiscale geographically weighted regression for more localized insights. Bivariate local indicators of spatial association cluster mapping further identify risk hotspots and high-risk socioeconomically disadvantaged areas for targeted interventions and disaster risk reduction programs. Findings reveal that recent immigrants, seniors, lone-parent households, and visible minorities are significantly associated with seismic risk in both regions. In Montreal, higher risk correlates with populations living alone, low-income individuals, those without a high school diploma, and non-official language speakers. In Ottawa-Gatineau, seismic risk is more strongly linked to seniors, visible minorities, and lone-parent families. Older housing consistently emerges as a critical built-environmental vulnerability. These results underscore the need for region-specific policies that integrate social and structural risk factors into disaster mitigation. The study contributes to environmental justice and social vulnerability literature, advocating for vulnerability-based risk management and targeted urban resilience strategies. • Socio-environmental inequities in seismic risk exposure are spatially heterogeneous. • Socially vulnerable residents face most severe seismic risk-related inequalities. • Risk hotspots shift locally when hazard integrates with instability or insecurity. • Neighbourhood instability factors exert a stronger influence over high seismic risk. • Recent immigrants experience higher seismic risk-related racial/ethnic inequalities.

International Journal of Disaster Risk ReductionVol. 123
University of Waterloo (CA), York University (CA), McGill University (CA), Carleton University (CA), École de Technologie Supérieure (CA)
Government of Canada
Openalex Percentile: Top 4%
Environmental Justice and Health Disparities
8.40
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