Measuring social vulnerability to natural hazards at the district level in Botswana

Jàmbá: Journal of Disaster Risk Studies

 
 
Field Value
 
Title Measuring social vulnerability to natural hazards at the district level in Botswana
 
Creator Dintwa, Kakanyo F. Letamo, Gobopamang Navaneetham, Kennan
 
Subject population studies; environmental science Botswana; District Social Vulnerability; place vulnerability; natural hazards; principal component analysis
Description Social vulnerability to natural hazards has become a topical issue in the face of climate change. For disaster risk reduction strategies to be effective, prior assessments of social vulnerability have to be undertaken. This study applies the household social vulnerability methodology to measure social vulnerability to natural hazards in Botswana. A total of 11 indicators were used to develop the District Social Vulnerability Index (DSVI). Literature informed the selection of indicators constituting the model. The principal component analysis (PCA) method was used to calculate indicators’ weights. The results of this study reveal that social vulnerability is mainly driven by size of household, disability, level of education, age, people receiving social security, employment status, households status and levels of poverty, in that order. The spatial distribution of DSVI scores shows that Ngamiland West, Kweneng West and Central Tutume are highly socially vulnerable. A correlation analysis was run between DSVI scores and the number of households affected by floods, showing a positive linear correlation. The government, non-governmental organisations and the private sector should appreciate that social vulnerability is differentiated, and intervention programmes should take cognisance of this.
 
Publisher AOSIS
 
Contributor
Date 2019-05-06
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip application/xml application/pdf
Identifier 10.4102/jamba.v11i1.447
 
Source Jàmbá: Journal of Disaster Risk Studies; Vol 11, No 1 (2019); 11 pages 1996-1421 2072-845X
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://jamba.org.za/index.php/jamba/article/view/447/1142 https://jamba.org.za/index.php/jamba/article/view/447/1141 https://jamba.org.za/index.php/jamba/article/view/447/1143 https://jamba.org.za/index.php/jamba/article/view/447/1140
 
Coverage census districts — —
Rights Copyright (c) 2019 Kakanyo F. Dintwa, Gobopamang Letamo, Kannan Navaneetham https://creativecommons.org/licenses/by/4.0
ADVERTISEMENT