Description: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }The RoadsAccidentHazard_LocalMunics_KZN layer quantifies the relative accident hazard associated with road infrastructure within KwaZulu‑Natal local municipalities.Road segments were first classified by type and assigned weights (Rank 1–10) based on their expected contribution to accident risk:10 – National Freeway: High‑speed long‑distance movement9 – National Road: Strategic inter‑city/provincial mobility8 – Interchange: Major junctions7 – On/Off Ramp: Freeway access points6 – Arterial Road: High‑volume urban/suburban corridors5 – Main Road4 – Secondary Road3 – Street2 – Other Road: Unclassified/minor access routes1 – Footpath: Pedestrian movement onlyThese weights were integrated with slope and weather‑risk inputs to adjust likelihood of road‑related accidents (e.g., steep gradients, rainfall‑related conditions).
Service Item Id: 38099d129afd40f3878bafe8375ff250
Copyright Text: 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
Description: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }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 National Freeways (10) to Footpaths (1). These weights reflect relative exposure based on speed, traffic density, functional hierarchy, and complexity of movement.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.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.
Service Item Id: 38099d129afd40f3878bafe8375ff250
Copyright Text: 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