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07422800
1.0
ISO19115_3
002
SRK_Road_Transport_Hazards
396087.487100
813108.699500
-3543003.460900
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Geographic
GCS_Hartebeesthoek_1994
Angular Unit: Degree (0.017453)
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20260311
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20260311
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<p>a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }</p><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><p>This dataset quantifies road‑accident hazard at the municipal level by integrating road‑network classifications, slope characteristics, and weather‑related risk conditions. Road types were weighted according to their potential contribution to accident risk, based on a 10‑to‑1 ranking system ranging from <strong>National Freeways (10)</strong> to <strong>Footpaths (1)</strong>. These weights reflect relative exposure based on speed, traffic density, functional hierarchy, and complexity of movement.</p><p>The weighted road network was intersected with municipal boundaries, and slope and weather modifiers were applied to adjust road‑accident risk scores where steep terrain and adverse climatic conditions are present. Final hazard values were computed using a length‑weighted summarisation of all road segments within each municipality.</p><p>The resulting dataset provides a municipal‑scale hazard index highlighting areas where road characteristics, terrain, and weather conditions create increased accident likelihood. This layer supports provincial disaster management, emergency response planning, municipal safety profiling, infrastructure prioritisation, and transport‑risk mitigation.</p></div>
RoadTransportHazardsKZN
2025-12-15T00:00:00
28.586426
33.068848
-26.814266
-31.071756
28.870109
32.959680
-26.801840
-31.085137
1
Road accident hazard
transport risk
weighted road classes
municipal risk
KwaZulu‑Natal
slope impact
weather risk
GIS
SRK Consulting
disaster risk assessment
mobility safety
road hierarchy
hazard modelling
This dataset identifies municipalities with elevated road‑accident hazard based on weighted road‑type classifications and additional modifiers related to slope and weather risk. Road segments were assigned accident‑risk weights (Ranks 1–10) and aggregated at the municipal scale to produce a spatial representation of relative road‑transport hazard across KwaZulu‑Natal.
SRK Consulting
Creator: Herman Booysen (hbooysen@srk.co.za)
Road Network and Hazard Analysis: SRK Consulting
Supplementary Inputs: Digital Elevation Model (slope), weather‑related incident risk indicators
<div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">This dataset is intended for strategic‑level hazard assessment. Municipal hazard values represent <strong>relative</strong> risk, not actual accident counts. Accuracy is dependent on the underlying road‑network classification, DEM resolution, and weather‑risk inputs. Local‑level validation is recommended before operational decision‑making or detailed engineering applications.</div>
Esri ArcGIS 13.6.0.59527
dataset
20260130
File Geodatabase Feature Class
Esri
8.0.1
RoadTransportHazardsKZN
Feature Class
0
OBJECTID
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
province
PROVINCE
String
50
0
0
category
CATEGORY
String
5
0
0
municname
MUNICNAME
String
100
0
0
district_n
DISTRICT_N
String
100
0
0
value
VALUE
String
100
0
0
sum_accidenthazard
Sum AccidentHazard
Double
8
0
0
Sum of accident hazard of the road segments in the local municipality.
length
length
Double
8
0
0
roadaccidentclasslength
RoadAccidentClassLength
BigInteger
8
0
0
The length of road segment with associated accident class.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
0
Simple
FALSE
0
TRUE
FALSE