Community satisfaction and risk perception of local devastation due to climate change

Introduction

Community satisfaction and risk perception are important in addressing the challenges posed by climate change and developing comprehensive and equitable climate policy. This study focused on understanding the relationship between the risk perception of future local devastation due to climate change and community satisfaction in British Columbia, Canada.

Methods

Using British Columbia Climate Distress Monitoring System data, we conducted a multivariate logistical analysis to examine this association while considering confounders and independent predictors, including age, gender, income, education, ethnicity, population density, and political orientation.

Results

The results revealed that the perception of an increased risk of future local devastation due to climate change was negatively associated with neighborhood satisfaction. However, no statistical relationship was found between housing satisfaction and risk perception. Furthermore, individuals who had experienced displacement from natural disasters, identified as women, belonged to Indigenous communities, or held liberal political views were more likely to perceive higher climate risks. In contrast, a higher income level (above $90,000) and increased population density had the opposite effect on such risk perception.

Conclusions

These findings emphasize the importance of community satisfaction in shaping the perceived risk of climate disasters and informing the development of climate mitigation and adaptation policies. A cohesive community can help individuals cope with climate disasters mentally, physically, and financially. It is essential for equitable policy-making processes to address disparities in race, age, gender, income, and political orientation when considering the impact of climate change and policy readiness. Building climate-resilient communities involves strengthening social connections, integrating community resources, and supporting vulnerable populations.