Fused Geospatial Dataset of Road Infrastructure and Climate Hazards for Victoria, Australia

This dataset integrates road infrastructure and climate hazard data for 7,579 road links in Victoria, Australia, supporting the Road Infrastructure Climate Risk Assessment Framework (RICRAF). It combines open-source road data from DataVic (traffic volume, pavement condition, road width and number of lanes) with climate indicators from the Australian Climate Service (extreme rainfall, temperature, drought) across baseline (GWL-1.2°C) and projected scenarios (GWL-1.5°C, 2.0°C, 3.0°C). The GeoJSON dataset (EPSG:3111, ~28 MB) adheres to FAIR principles: Findable (DOI), Accessible (open repository), Interoperable (GeoJSON), and Reusable (CC-BY 4.0 license). Applications include climate risk modelling and infrastructure adaptation planning, with transferability to other regions. Accompanying code and metadata are available on GitHub.本数据集整合了澳大利亚维多利亚州7579条道路路段的道路基础设施与气候灾害数据，可为道路基础设施气候风险评估框架（Road Infrastructure Climate Risk Assessment Framework，RICRAF）提供支撑。其融合了来自DataVic的开源道路数据（含交通流量、路面状况、道路宽度与车道数），以及澳大利亚气候服务（Australian Climate Service）提供的气候指标（极端降雨、气温、干旱情况），覆盖基准情景（GWL-1.2°C，即全球温升1.2℃）与GWL-1.5°C、GWL-2.0°C、GWL-3.0℃三类预估情景（分别对应全球温升1.5℃、2.0℃、3.0℃）。该地理JSON（GeoJSON）数据集（坐标系采用EPSG:3111，容量约28 MB）遵循FAIR数据原则：可发现（Findable，依托数字对象标识符（DOI））、可获取（Accessible，通过开源仓储获取）、可互操作（Interoperable，采用地理JSON格式）与可复用（Reusable，采用CC-BY 4.0开源许可协议）。其应用场景涵盖气候风险建模与基础设施适应规划，且具备跨区域迁移适用性。配套代码与元数据已公开于GitHub平台。