Layers:

Layer: SRK_DM_InfrastructureVulnerability (0)

Name: SRK_DM_InfrastructureVulnerability

Display Field: PROVINCE

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset represents a district‑level infrastructure vulnerability assessment for KwaZulu‑Natal, developed by aggregating local‑municipality 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.Infrastructure vulnerability was first assessed at local municipality level 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 dataset and include measures of sanitation type, cooking fuel source, and refuse disposal practices.For district‑level aggregation, centroid point features were generated from the LocalMunicipalities_InfrastructureVulnerability polygons, with each centroid retaining the associated municipal‑level infrastructure vulnerability attributes. These centroid points were spatially joined to pre‑existing district municipality polygons using a spatial containment relationship.A one‑to‑one spatial join was applied, and municipal‑level infrastructure vulnerability values were summed 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.Infrastructure vulnerability values are relative and comparative, not absolute measures of infrastructure condition or service adequacy. Districts with higher aggregated values are interpreted as exhibiting greater concentrations of infrastructure‑related vulnerability, particularly in relation to sanitation, energy access, and waste management deficiencies. This dataset is intended to be interpreted alongside district‑level social and economic vulnerability layers as part of an integrated, multi‑dimensional vulnerability assessment.This is a screening‑level analytical product and does not represent real‑time service delivery conditions or engineering‑level infrastructure assessments.

Service Item Id: 77b22bc322584df5a1022586f512660c

Copyright Text: Produced by Herman Booysen, SRK Consulting. Project context: Disaster Management and climate risk assessment for KwaZulu‑Natal.

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Spatial Reference: 4148  (4148)



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Layer: SRK_LM_InfrastructureVulnerability (1)

Name: SRK_LM_InfrastructureVulnerability

Display Field: MUNICNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset represents an infrastructure vulnerability assessment for local municipalities in KwaZulu‑Natal, developed to support disaster risk profiling, comparative analysis, and resilience planning. Infrastructure vulnerability reflects the degree to which households and communities are exposed to service delivery failures and infrastructure deficiencies that can amplify disaster impacts and constrain recovery.The base local municipality polygon dataset originates from nationally maintained municipal boundary datasets updated through multiple redetermination cycles between 2009 and 2016. These boundaries were progressively standardised, attributed, and prepared for analysis, including the creation of composite naming fields and the retention of district and provincial identifiers. No geometry edits were applied during the infrastructure vulnerability modelling phase.Infrastructure vulnerability indicators were derived primarily from household service delivery data, focusing on access to basic infrastructure and the reliability of essential services. Key dimensions of infrastructure vulnerability included sanitation, cooking fuel type, and refuse disposal practices. These indicators were sourced from external tabular datasets and joined to the local municipality layer using attribute‑based joins.Sanitation vulnerability reflects reliance on toilet types such as chemical toilets, pit latrines (ventilated and unventilated), ecological toilets, and bucket systems. These systems are associated with elevated health risks, environmental contamination, and reduced resilience during service delivery disruptions. Cooking fuel vulnerability captures dependence on non‑electric fuels such as paraffin, wood, coal, animal dung, and other biomass sources, which are linked to indoor air pollution, health impacts, and limited adaptive capacity during energy supply failures. Refuse disposal vulnerability considers the prevalence of communal dumps, own dumps, or unregulated dumping, indicating deficiencies in municipal waste management systems and increased exposure to environmental and public‑health hazards.Service delivery indicators were expressed as proportions at municipal level and classified using Natural Breaks (Jenks) to identify relative vulnerability classes. Selected vulnerability components were combined into a composite infrastructure vulnerability score, TotalInfrastructureVulnerability, representing the relative level of infrastructure‑related vulnerability for each local municipality.Intermediate fields and attributes unrelated to infrastructure vulnerability (including social vulnerability components, join artefacts, and temporary classification fields) were removed during schema cleanup to produce a focused, analysis‑ready dataset.Infrastructure vulnerability values in this dataset are relative and comparative, not absolute measures of service adequacy or infrastructure condition. The dataset is intended to be used alongside social, economic, and environmental vulnerability layers as part of an integrated, multi‑dimensional vulnerability assessment.This is a screening‑level analytical product and does not represent real‑time service delivery conditions.

Service Item Id: 77b22bc322584df5a1022586f512660c

Copyright Text: Municipal Demarcation Board (MDB), Produced by Herman Booysen, SRK Consulting. Project context: Disaster Management and climate risk assessment for KwaZulu‑Natal (internal GIS workflows).

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