Department of Transport and Planning - Victoria road crash data
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This data has been consolidated from Victoria Police reports and Hospital injury information, then validated and enriched to provide a comprehensive and detailed view of road crashes and injuries across Victoria. The data provides users with information about Victorian fatal and injury road crash data based on time, location, conditions, crash type, road user type, and other relevant attributes. Data Currency This information will be updated on a monthly basis but with a 7 month lag in order to provide a comprehensive view of incidents during that time period. Data Structure The CSV data is split across multiple tables with attributes to facilitate joins between the information. This has been captured as part of the supporting documentation in the metadata. The tables and attributes include: - accident (basic accident details, time, severity, location) - person (person based details, age, gender etc) - vehicle (vehicle based data, vehicle type, make etc) - accident_event (sequence of events e.g. left road, rollover, caught fire) - road_surface_cond (whether road was wet, dry, icy etc) - atmospheric_cond (rain, winds etc) - sub_dca (detailed codes describing accident) - accident_node (master location table - NB subset of accident table) - Node Table with Lat/Long references The GeoJSON dataset is a single flat file containing a subset of the attributes from the CSV files. It provides a single set of attributes for each road crash that has occurred within Victoria. Supporting documentation in the metadata will provide further details of the attributes. Disclaimer No claim is made as to the accuracy or currency of the content on this site at any time, there will be instances where attributes relating to a crash are amended over time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. Data relating to fatal crashes that have occurred recently are provisional and are subject to change or removal. They will have a high level of incompleteness and details will be amended before they are finalised. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.
This dataset provides data professionals and road safety analysts direct access to road crash data. Ready access to this data helps you take on more detailed research and evaluation that can contribute to better understanding of crashes and risks and improve road safety in the context of Safe Systems. Safe systems recognises that issues relating to infrastructure, vehicles, speed, and drivers cannot be viewed in isolation, but rather their interactions need to be considered. This data will provide a view of crash locations and environmental conditions as well as the involved vehicle types and the drivers and people who are injured or lose their lives. Publication of data will comply with the Privacy and Personal Information Protection Act 1998, which ensures sensitive information is not included in this proposed sets of data to be released. Five years of crash data will be initially published with updates to be made annually. Transport for NSW also has a significant amount of crash information available on the Centre for Road Safety website, which is presented in an easy to view way to investigate trends and factors contributing to crashes in NSW: Interactive Crash Statistics
Landslide Damage Points Data (Mineral Resources Tasmania)
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Point locations of damage to structures or property caused by a landslide, throughout Tasmania, with summary damage data derived from the Geohazards (Landslide) Database, Tasmanian Information on Geoscience and Exploration Resources (TIGER) system; administered by Mineral Resources Tasmania (MRT). A landslide is defined as a downslope movement of a mass of rock, debris or earth by a variety of failure modes (slide, flow, spread, fall, topple, or combinations thereof) â but excludes subsidence (such as karst areas). The summary damage data includes: the damage ID (database reference), the type of structure or property damaged, the cause of the damage, the severity of the damage, the earliest known date of damage, the landslide ID (database reference for associated landslide), and related reports (largely MRT reports). Only the landslide damage reported to MRT is included.
Landslide Damage Polygons Data (Mineral Resources Tasmania)
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Polygons of structures or property damaged by a landslide, throughout Tasmania, with summary damage data derived from the Geohazards (Landslide) Database, Tasmanian Information on Geoscience and Exploration Resources (TIGER) system; administered by Mineral Resources Tasmania (MRT). A landslide is defined as a downslope movement of a mass of rock, debris or earth by a variety of failure modes (slide, flow, spread, fall, topple, or combinations thereof) â but excludes subsidence (such as karst areas). The summary damage data includes: the damage ID (database reference), the type of structure or property damaged, the cause of the damage, the severity of the damage, the earliest known date of damage, the landslide ID (database reference for associated landslide), and related reports (largely MRT reports). Only the landslide damage reported to MRT is included.
Tasmanian Land Use 2015
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The Tasmanian land use 2015 spatial data set is produced at catchment scale which is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the 'Guidelines for land use mapping in Australia: principals, procedures and definitions, 4th edition 2011' and âAddendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Editionâ. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management Classification (ALUMC) v8, which allows attribution as broad classes to individual commodities. This produces nationally consistent land use mapping to plan for and achieve productive agriculture and prosperous regional communities. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The data set has been derived through spatial analysis of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge through stakeholder engagements. The development of a modelling process to create the data set allows a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping is for improved biosecurity outcomes to improve biosecurity risk management and emergency disease preparedness through updated land use mapping of horticulture and intensive animal production. Land use mapping is completed to the secondary and tertiary level with commodity information for priority land use classes focusing on dairy grazing, sheds and yards, vineyards, stock aggregation points and nurseries. Australian Land Use and Management Classification (ALUMC) v8 comprises of five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)
Landslide Lines Data (Mineral Resources Tasmania)
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Linear landslide components of landslide features mapped across Tasmania, with summary landslide data derived from the Geohazards (Landslide) Database, Tasmanian Information on Geoscience and Exploration Resources (TIGER) system; administered by Mineral Resources Tasmania (MRT). A landslide is defined as a downslope movement of a mass of rock, debris or earth by a variety of failure modes (slide, flow, spread, fall, topple, or combinations thereof) âÃà but excludes subsidence (such as karst areas). The summary landslide data includes: the landslide ID (database reference), the linear landslide component mapped, the landslide name, the locality, the feature type (type of landslide entity mapped), the landslide classification, the activity state (âÃÃRecent or ActiveâÃà or âÃÃActivity UnknownâÃÃ), the earliest known activity, related reports (largely MRT reports), related MRT plans. A Details field provides a link to a Landslide Details page where further information may be available.
Vehicle Crash Data Repository
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The Connecticut Crash Data Repository (CTCDR) is a web tool designed to provide access to select crash information collected by state and local police. This data repository enables users to query, analyze and print/export the data for research and informational purposes. The CTCDR is comprised of crash data from two separate sources; The Department of Public Safety (DPS) and The Connecticut Department of Transportation (CTDOT). The purpose of the CTCDR is to provide members of the traffic-safety community with timely, accurate, complete and uniform crash data. The CTCDR allows for complex queries of both datasets such as, by date, route, route class, collision type, injury severity, etc. For further analysis, this data can be summarized by user-defined categories to help identify trends or patterns in the crash data.