Social Resilience to Flooding in Vancouver: The Issue of Scale

Socioeconomic characteristics are commonly used as indicators of vulnerability and resilience to inform disaster risk planning and management. Vancouver is a coastal seaport city along the west coast of Canada and is exposed to risk from the impacts of flooding. Previous studies have assessed and mo...

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Vydáno v:Environmental hazards Ročník 20; číslo 4; s. 400 - 415
Hlavní autoři: Chu, Samantha Hao Yiu, Tan, Su-Yin, Mortsch, Linda
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 08.08.2021
Taylor & Francis Ltd
Témata:
Agglomeration
Aggregate data
Aggregation
Census
Censuses
Coastal zone management
Data
Decision making
Disaster risk
disaster risk management
Dissemination
Environmental hazards
Environmental risk
Family structure
Flood hazards
Flooding
Floods
GIS
Hazard assessment
Individual differences
MAUP
modifiable areal unit problem
Natural disasters
Resilience
Risk management
Social resilience
Socioeconomic factors
Socioeconomic status
Socioeconomics
Spatial analysis
Vulnerability
ISSN:1747-7891, 1878-0059
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Shrnutí:Socioeconomic characteristics are commonly used as indicators of vulnerability and resilience to inform disaster risk planning and management. Vancouver is a coastal seaport city along the west coast of Canada and is exposed to risk from the impacts of flooding. Previous studies have assessed and modelled a city's resilience to environmental hazards based on socioeconomic status derived from census data, such as income status, family structure, and dwelling conditions. However, these data sources are aggregated into different census units of varying scale, such as Census Tracts (CT) and Dissemination Areas (DA). Spatial analysis of the same data using different aggregation units manifests in the Modifiable Areal Unit Problem (MAUP), where varying scale can produce different results and conclusions. This exploratory analysis of the MAUP demonstrates that social resilience to flooding hazards in Vancouver at the CT and DA census scales can have contradictory results depending on the census scale adopted. The effect of scale and the aggregation units at which spatial analysis occurs can have a significant impact on the conclusions imparted and decision making to identify priority areas. Since individual-level disaggregate data is unavailable, the analytical results based solely on aggregate data should be interpreted with caution.
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ISSN:1747-7891
1878-0059
DOI:10.1080/17477891.2020.1834345