{
 "culture": "en-ZA",
 "name": "",
 "guid": "",
 "catalogPath": "",
 "snippet": "This dataset identifies municipalities with elevated road\u2011accident hazard based on weighted road\u2011type classifications and additional modifiers related to slope and weather risk. Road segments were assigned accident\u2011risk weights (Ranks 1\u201310) and aggregated at the municipal scale to produce a spatial representation of relative road\u2011transport hazard across KwaZulu\u2011Natal.",
 "description": "<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\u2011accident hazard at the municipal level by integrating road\u2011network classifications, slope characteristics, and weather\u2011related risk conditions. Road types were weighted according to their potential contribution to accident risk, based on a 10\u2011to\u20111 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\u2011accident risk scores where steep terrain and adverse climatic conditions are present. Final hazard values were computed using a length\u2011weighted summarisation of all road segments within each municipality.<\/p><p>The resulting dataset provides a municipal\u2011scale 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\u2011risk mitigation.<\/p><\/div>",
 "summary": "This dataset identifies municipalities with elevated road\u2011accident hazard based on weighted road\u2011type classifications and additional modifiers related to slope and weather risk. Road segments were assigned accident\u2011risk weights (Ranks 1\u201310) and aggregated at the municipal scale to produce a spatial representation of relative road\u2011transport hazard across KwaZulu\u2011Natal.",
 "title": "RoadTransportHazardsKZN",
 "tags": [
  "Road accident hazard",
  "transport risk",
  "weighted road classes",
  "municipal risk",
  "KwaZulu\u2011Natal",
  "slope impact",
  "weather risk",
  "GIS",
  "SRK Consulting",
  "disaster risk assessment",
  "mobility safety",
  "road hierarchy",
  "hazard modelling"
 ],
 "type": "",
 "typeKeywords": [],
 "thumbnail": "",
 "url": "",
 "minScale": "NaN",
 "maxScale": "NaN",
 "spatialReference": "",
 "accessInformation": "SRK Consulting\nCreator: Herman Booysen (hbooysen@srk.co.za)\nRoad Network and Hazard Analysis: SRK Consulting\nSupplementary Inputs: Digital Elevation Model (slope), weather\u2011related incident risk indicators",
 "licenseInfo": "<div style=\"font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;\">This dataset is intended for strategic\u2011level hazard assessment. Municipal hazard values represent <strong>relative<\/strong> risk, not actual accident counts. Accuracy is dependent on the underlying road\u2011network classification, DEM resolution, and weather\u2011risk inputs. Local\u2011level validation is recommended before operational decision\u2011making or detailed engineering applications.<\/div>",
 "portalUrl": ""
}