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Record W3185209955

Social Equity Dimensions of Flood Risk Management in Canada

2021· dissertation· en· W3185209955 on OpenAlexfundaboutno aff
Liton Chakraborty

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of WaterlooCanadian Institutes of Health ResearchPublic Safety CanadaGöteborgs UniversitetMarine Environmental Observation Prediction and Response Network
KeywordsFlood mythFlood risk managementEquity (law)Risk managementBusinessSocial equalityGeographyEnvironmental planningPolitical scienceFinanceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Disproportionate exposure to hazards among socioeconomically disadvantaged populations and racial/ethnic minority communities contributes to rising environmental injustices worldwide. Examining the link between race/ethnicity, socioeconomic status, and the location of environmental hazards provides an important foundation for understanding fundamental determinants of environmental inequities based on socioeconomic indicators and disparate impacts of hazards. To date, Canada’s environmental justice (EJ) research has focused on identifying vegetation, air pollution, health, and noise-related environmental inequities, mostly in a few selected cities and metropolitan areas. This is inadequate for a national policy conversation on environmental injustices. Although flooding has emerged as the costliest and most frequently occurring natural hazard underpinning nationwide flood risk management (FRM) policy and social concerns in Canada, it is mostly unknown which population subgroups are highly vulnerable to flooding, where are the hotspots of social vulnerability to flood hazards, and whether groups of racial/ethnic minorities and socioeconomically vulnerable populations are disproportionately affected by flooding across Canada. \n \nAssessing socioeconomic vulnerability indicators to flood hazards and identifying their disparate relations to flood exposure help policymakers understand which racial/ethnic and socioeconomic groups are inequitably exposed to flooding. This approach better assists in making evidence-informed and risk-based decisions, which will help fight racial discrimination and redress harm due to environmental injustice by developing a socially equitable flood management policy. Social equity considerations about flood management policies, programs, and legislations are consistent with the Government of Canada’s commitment to implementing “Gender-based Analysis Plus (GBA+)” in decisions and developing the National Strategy to Redress Environmental Racism Act that helps address differential impacts of hazards on people of all genders and diverse groups of socio-economic, ethnic, and cultural groups/communities. \n \nThis dissertation addressed several gaps in the Canadian literature on socioeconomic vulnerability to flooding and the distributive environmental justice analysis concerning differential exposure to flood hazards of people and places. It evaluated various spatial and non-spatial methodologies for assessing flood-related environmental inequity. The research has asked three sets of integrated research questions that jointly reflect the overall goal of analyzing social equity dimensions of flood risk management in Canada, including: \n(1)\tWhat are the significant socioeconomic drivers of social vulnerability to flood hazards in Canada? Where are socially vulnerable neighbourhoods geographically concentrated in Canada? \n(2)\tHow exposed are residential properties to flood hazards across Canada? Do socioeconomic vulnerability and flood exposure of residential properties vary or concentrate spatially by geographic boundaries (e.g., census tracts, census metropolitan areas, and provinces/territories)? Where are the hotspots of flood risk, and which neighbourhoods are at an elevated risk of flooding and highly vulnerable to flood hazards? \n(3)\tAre certain socially vulnerable groups, including women, the elderly, lone-parent households, people with disabilities, visible ethnic minorities, Indigenous peoples, and individuals of lower socioeconomic status, inequitably exposed to flood hazards in Canada? Are relationships between Canadians’ socio-demographic characteristics and residential exposure to flood risk spatially heterogeneous? Are Canadians likely to experience environmental injustices or systemic social inequities through differential exposure to flood risk? \n \nIn answer to the first set of questions, the research developed a national-scale socioeconomic status (SES) index for Canadians to measure relative social vulnerability across census tract (CT)-level neighbourhoods. Building on the literature of social vulnerability to flood hazards and flood-related EJ research (J. Chakraborty et al., 2014; Collins et al., 2017; Susan L. Cutter et al., 2003; Grineski et al., 2015; Messer et al., 2006; Oulahen, Shrubsole, et al., 2015), a wide range of 49 social vulnerability indicators were considered from six main areas, including: \n•\tSpecial needs populations and their coping ability. \n•\tHousehold or family arrangement. \n•\tRace/ethnicity status. \n•\tAccess to financial resources and social supports. \n•\tBuilt environment characteristics of homes. \n•\tLanguage, gender, age, education, occupation categories, and gender-based intersectional labour force characteristics. \n \nPrincipal Component Analysis (PCA) on those indicators revealed 35 of the 49 census-based variables as significant representatives of social vulnerability drivers in Canada. The geographic concentration of vulnerability was delineated through geographical information system (GIS)-based choropleth mapping of SES index scores across CTs. Racial or ethnic groups were found to be among the most socially vulnerable groups in Canada, consistent with the extant environmental justice literature. Large census metropolitan areas (CMA) were substantially less socially vulnerable than their smaller counterparts. Social vulnerability was mostly concentrated in urban areas across Canada, and Atlantic Canada provinces were considerably more socioeconomically vulnerable than Western Canada and Central Canada provinces. \n \nThis dissertation provided the first nationwide and comprehensive flood risk assessment by leveraging data on flood hazards, social vulnerability, and exposure of residential properties to answer the second set of questions presented above. Flood hazard exposure analysis captured the percentage of residential properties within a CT exposed to any of pluvial (surface water), fluvial (riverine), or storm surge (coastal) flooding in a 100-year return period (with or without accounting for fluvial flood defenses). The extent of flood risk and geographic concentration of risk hotspots were identified using GIS by determining most flood vulnerable neighbourhoods, where very high social vulnerability coincided with very high flood exposure. The findings suggested that Ontario and Québec had the highest number of CTs among all provinces, revealed as “at-risk” areas of flooding (i.e., 66% of the total 5721 CTs), regardless of accounting for fluvial-flood defenses. The results indicated most of the CMAs or urban regions in Central Canada and Western Canada were geographically concentrated in flood-disadvantaged areas that were susceptible to ‘high - very high’ flood risk, while fluvial-flood defense was overlooked. Population subgroups and residential properties in 18 of the 5721 CTs, over nine CMAs, were detected with very high flood risk. Four CTs in Chilliwack, BC, and Windsor, ON CMAs, were nationally recognized as having the highest flood risk. \n \nTo answer the third set of questions, the dissertation investigated the environmental justice hypothesis that socioeconomically disadvantaged and visible minority population subgroups disproportionately inhabit flood zones. The dissertation also demonstrated the value of a geographically weighted regression (GWR) approach in environmental equity research to understand and examine spatial heterogeneity in exposure to flood hazards that support statistically valid analyses about the spatial relationships between flood exposure and racial, ethnic, and socio-demographic characteristics. Consistent with the environmental equity literature, the dissertation concluded that socially vulnerable residents are the predominant occupants of inland flood zones, and flood-related socioeconomic inequities are non-stationary as they vary across Canada. The research found certain vulnerable groups, such as females, lone-parent households, Indigenous peoples, South Asians, the elderly, other visible minorities, and economically insecure residents, located at a higher risk of flooding in Canadian neighbourhoods. Inland flood risk, both fluvial and pluvial, is of more significant concern for Canada as socioeconomically deprived residents disproportionately inhabit inland flood zones more than coastal flood zones. \n \nThe dissertation provided several methodological contributions to advancing scholarly knowledge in the fields of social vulnerability to environmental hazards, environmental justice (EJ), and social equity implications of flood risk, including: \n1.\tIt filled a gap of national-scale scholarly research on social vulnerability analysis by developing an SES index for Canada based on a statistically valid and empirically robust methodology of PCA for dimensionality reduction in the dataset. \n2.\tIt critically deconstructs and presents a comprehensive flood risk assessment methodology by combining social vulnerability, exposure, and flood hazards data sets at the national scale to pinpoint hotspots of flood risk across Canadian neighbourhoods. \n3.\tIt advanced the quest for the most appropriate methodological framework to analyze social and spatial inequities in exposure to flood hazards after considering spatial effects. \n4.\tIt provided a unique, nationwide, quantitative EJ study and analyzed spatial heterogeneity in flood risk exposure across Canada. \n \nThe results of this dissertation inform risk-based flood hazard management policies that are consistent with the Rawlsian distributive justice principle, that is, to help those most flood disadvantaged neighbourhoods first. The results are of interest to emergency managers who design policies that improve flood resilience to – at the very least - avoid approaches that exacerbate pre-existing environmental

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.140
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.245
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes2
Has abstractyes

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