<p>Critical infrastructure systems provide essential services central to the functioning of Australian communities and the economy. Research into historic catastrophic failures of infrastructure suggests two factors have the strongest influence on such failures: system complexity and tight coupling within such systems. While complexity of these lifeline systems is recognised, the latter factor is often not well-understood, especially in the context of severe natural hazards. <p>Proposed in this paper is a methodology to study the performance of lifeline infrastructure under hazard impact, where key component parameters of complex lifeline systems, along with component interactions, are integrated within an executable model. This model can then be subjected to any number of virtual hazards to assist in identification of non-obvious failure mechanisms, quantify post-hazard system performance, and conduct experimentation with alternate mitigation measures. <p>This process allows for investigating the combined effect of various parameters including component fragilities, system topology, restoration times and costs with their uncertainties, redundancies, and the expected hazard. Much of this information is commercially sensitive or only accessible to specialist groups. Ensuring access to, and effective combination of, such information requires a trusted information-sharing collaboration framework between cross-sectoral experts. This collaboration requires participation from infrastructure operators, researchers, engineers, and government entities. This paper outlines a methodology and tools that have been utilised within such a collaborative project, and documents key learnings from the effort, along with observations on improvement strategies.

Knowledge of the nature of buildings within CBD areas is fundamental to a broad range of decision making processes, including planning, emergency management and the mitigation of the impact of natural hazards. To support these activities, Geoscience Australia has developed a building information system called the National Exposure Information System (NEXIS) which provides information on buildings across Australia. Most of the building level information in NEXIS is statistically derived, but efforts are being made to include more detailed information on the nature of individual buildings, particularly in CBD areas. This is being achieved in Hobart through field survey work.

Knowledge of the nature of buildings within CBD areas is fundamental to a broad range of decision making processes, including planning, emergency management and the mitigation of the impact of natural hazards. To support these activities, Geoscience Australia has developed a building information system called the National Exposure Information System (NEXIS) which provides information on buildings across Australia. Most of the building level information in NEXIS is statistically derived, but efforts are being made to include more detailed information on the nature of individual buildings, particularly in CBD areas. This is being achieved in the Gold Coast through field survey work.

People, homes, businesses and infrastructure have been severely impacted by the recent flooding in Tweed Shire. Information is needed on the nature of these impacts to assess losses, assess community recovery and contribute to the development of strategies to reduce risk in the future. To collect this information a survey team has been established to gather data on the impact on buildings and businesses. The survey team is being led by Geoscience Australia, the national agency for geoscience research and spatial information, in collaboration with RMIT University and the Tweed Shire Council.

Knowledge of the nature of buildings within business precincts is fundamental to a broad range of decision making processes, including planning, emergency management and the mitigation of the impact of natural hazards. To support these activities, Geoscience Australia has developed a building information system called the National Exposure Information System (NEXIS) which provides information on buildings across Australia. Most of the building level information in NEXIS is statistically derived, but efforts are being made to include more detailed information on the nature of individual buildings, particularly in business districts. This is being achieved in Adelaide through field survey work.

<div>The region of coastal South East Queensland (SEQ) is a large concentration of population, industry, and infrastructure important to the economy of Queensland and of Australia. The region is also subject to severe storms that generate damaging winds, particularly as result of thunderstorm and tropical cyclone activity. Older residential housing has historically been the most damaged in such storms, contributing disproportionately to community risk. This risk posed by severe wind is not well understood, nor are the optimal strategies for managing, and potentially reducing, this risk. In this hazard context, this project was initiated based on a joint proposal developed by Queensland Fire and Emergency Services (QFES), Geoscience Australia and the six coastal local governments in SEQ in January 2020. The objective was to gain an improved understanding of the wind risks in this region and to develop actionable information that could inform future strategies to manage and reduce risk in these areas, with broader application to other local government areas. The project proved to be of great interest to a broader range of stakeholders, including the insurance industry, some of whom became formal partners, while others participated as observers. </div><div><br></div><div>The management of wind risk requires a sound evidence base for decision makers. While the information developed in this project has significant uncertainties, the outcomes are considered a representative view of wind risk in a coastal region that is home to nearly 60% of the Queensland population. The work has developed an improved understanding of the three primary risk elements of wind hazard, residential exposure and vulnerability. This has been achieved through a broad collaboration that has entailed the sharing of data, domain expertise and consensus building. This, in turn, has been translated into an assessment of scenario impacts, local scale risk, and the nuancing effects of resilience on the outcomes. An exploration was carried out of the effectiveness of a range of retrofit strategies directed at addressing the residential buildings in our communities that contribute the most wind risk in South East Queensland. The outcome are expected to be a valuable resource for all the project partners and stakeholders in the areas of planning, preparation, response, recovery and strategic mitigation.</div>

Final report on the backgrounds, collaboration structure, methods, and findings from the EIRAPSI project

Knowledge of the nature of buildings within business precincts is fundamental to a broad range of decision making processes, including planning, emergency management and the mitigation of the impact of natural hazards. To support these activities, Geoscience Australia has developed a building information system called the National Exposure Information System (NEXIS) which provides information on buildings across Australia. Most of the building level information in NEXIS is statistically derived, but efforts are being made to include more detailed information on the nature of individual buildings, particularly in business districts. This is being achieved in Sydney through field survey work.

Knowledge of the nature of buildings within business precincts is fundamental to a broad range of decision making processes, including planning, emergency management and the mitigation of the impact of natural hazards. To support these activities, Geoscience Australia has developed a building information system called the National Exposure Information System (NEXIS) which provides information on buildings across Australia. Most of the building level information in NEXIS is statistically derived, but efforts are being made to include more detailed information on the nature of individual buildings, particularly in business districts. This is being achieved in Adelaide through field survey work.

This linked data API allows online access to all the AusPIX cells as a database. All DGGS cells, at all common resolutions, are mapped on individual landing pages, along with descriptors for spatial extent, centroid, neighbours, parent cells and child cells. Includes alternate views in a variety of formats, and can be manually or machine read. This is an online resource for the "AusPIX Data Integration by Locality Framework". It is built as a virtual database where the AusPIX DGGS Engine calculates information on demand. Location of this Linked data API is: https://fsdf.org.au/dataset/auspix/collections/auspix/items/R78523