Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe

• Main Authors: Emmanuel Mavhura, Bernard Manyena
• Format: Article
• Language: English
• Published: Wiley 2018-07-01
• Series: Geo: Geography and Environment
• Subjects: disaster resilience; geographical information systems; principal component analysis; resilience geographies; resilience variables; Zimbabwe
• Online Access: https://doi.org/10.1002/geo2.65

There has been an upsurge in tools for measuring resilience of the past decade. Despite this progress, we argue, there are few studies focusing on the spatial quantification of resilience in the context of multiple hazards, particularly in developing countries. Placing a particular emphasis on the contribution of geography to resilience studies, this paper examines the spatial variation of community resilience to disasters in Muzarabani, Zimbabwe. Place‐specific resilience variables are selected from the 2012 national census report to develop a disaster resilience index for Muzarabani district. A principal component analysis technique was used to analyse the overall and subcomponents of resilience to identify wards that needed policy intervention. Using the Geographical Information Systems tool to model the spatial variation of community resilience and its subcomponents, we found a geographic variation in community resilience across Muzarabani district, with the majority of the wards scoring low to below low levels of overall resilience. Although we view this study as being complementary to qualitative studies, it would appear quantifying and visualising resilience provide possible explanations and actions required for decision‐makers to address the resilience gaps and disaster risk reduction broadly.