Comparing hierarchical and inductive methods reveals fundamental differences in social vulnerability rankings

Area of Science:

• Disaster Risk Reduction
• Climate Change Adaptation
• Humanitarian Studies

Background:

• Social vulnerability assessments are vital for effective disaster preparedness and resource allocation.
• Climate change, conflicts, and funding gaps necessitate robust social vulnerability assessments.
• A lack of consensus exists on the optimal methodology for assessing social vulnerability.

Purpose of the Study:

• To compare the consequences of different methodological choices on social vulnerability assessments.
• To analyze the spatial and temporal variations in social vulnerability rankings using two common methods.
• To provide insights into the impact of methodological decisions on disaster preparedness strategies.

Main Methods:

• Comparison of the inductive principal component approach and the hierarchical INFORM approach.
• Spatio-temporal analysis of social vulnerability in Burkina Faso from 2015 to 2022.
• Case study focusing on 351 communes during a period of conflict and extreme weather.

Main Results:

• Significant differences were observed in the social vulnerability rankings of communes between the two methods.
• Spatial and temporal variations in vulnerability were identified, influenced by methodological choices.
• The study reveals the potential impact of differing assessment methods on resource allocation and response planning.

Conclusions:

• Methodological choices in social vulnerability assessments have significant consequences.
• A one-size-fits-all approach is inadequate; contextualized methods are essential.
• Understanding methodological impacts is crucial for improving disaster risk reduction and humanitarian aid.