{ "culture": "en-ZA", "name": "", "guid": "", "catalogPath": "", "snippet": "Vector dataset representing relative infrastructure vulnerability for district municipalities in KwaZulu\u2011Natal (KZN). District\u2011level infrastructure vulnerability values were derived by spatially aggregating local\u2011municipality infrastructure vulnerability indicators using centroid\u2011based spatial joins and summation. The dataset supports district\u2011scale disaster risk assessment, comparison, and strategic planning.", "description": "

This dataset represents a district\u2011level infrastructure vulnerability assessment for KwaZulu\u2011Natal, developed by aggregating local\u2011municipality infrastructure vulnerability indicators to existing district municipality boundaries. The analysis is intended to support disaster risk profiling, comparative vulnerability assessment, and strategic planning at district scale.<\/p>

Infrastructure vulnerability was first assessed at local municipality level<\/strong> using household service delivery and infrastructure access indicators that reflect exposure to service failure, health risks, and reduced adaptive capacity. These indicators were compiled in the LocalMunicipalities_InfrastructureVulnerability<\/strong> dataset and include measures of sanitation type, cooking fuel source, and refuse disposal practices.<\/p>

For district\u2011level aggregation, centroid point features were generated from the LocalMunicipalities_InfrastructureVulnerability polygons<\/strong>, with each centroid retaining the associated municipal\u2011level infrastructure vulnerability attributes. These centroid points were spatially joined to pre\u2011existing district municipality polygons<\/strong> using a spatial containment relationship.<\/p>

A one\u2011to\u2011one spatial join was applied, and municipal\u2011level infrastructure vulnerability values were summed<\/strong> for each district. The resulting field represents the aggregated infrastructure vulnerability score for each district municipality and reflects the combined contribution of local municipalities within that district.<\/p>

Infrastructure vulnerability values are relative and comparative<\/strong>, not absolute measures of infrastructure condition or service adequacy. Districts with higher aggregated values are interpreted as exhibiting greater concentrations of infrastructure\u2011related vulnerability, particularly in relation to sanitation, energy access, and waste management deficiencies. This dataset is intended to be interpreted alongside district\u2011level social and economic vulnerability layers as part of an integrated, multi\u2011dimensional vulnerability assessment.<\/p>

This is a screening\u2011level analytical product and does not represent real\u2011time service delivery conditions or engineering\u2011level infrastructure assessments.<\/p><\/div>", "summary": "Vector dataset representing relative infrastructure vulnerability for district municipalities in KwaZulu\u2011Natal (KZN). District\u2011level infrastructure vulnerability values were derived by spatially aggregating local\u2011municipality infrastructure vulnerability indicators using centroid\u2011based spatial joins and summation. The dataset supports district\u2011scale disaster risk assessment, comparison, and strategic planning.", "title": "District Infrastructure Vulnerability \u2014 KwaZulu\u2011Natal (KZN)", "tags": [ "infrastructure vulnerability", "district municipality", "KwaZulu\u2011Natal", "KZN", "disaster management", "service delivery", "sanitation", "cooking fuel", "refuse disposal", "GIS" ], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": "NaN", "maxScale": "NaN", "spatialReference": "", "accessInformation": "Produced by Herman Booysen, SRK Consulting.\nProject context: Disaster Management and climate risk assessment for KwaZulu\u2011Natal.", "licenseInfo": "

This dataset represents a screening\u2011level district infrastructure vulnerability assessment<\/strong> intended to support strategic disaster risk profiling, planning, and prioritisation.<\/p>

It is not suitable<\/strong> for:<\/p>