Transport infrastructure is exposed to natural hazards all around the world. Here we present first global estimates of multi-hazard exposure and risk road rail infrastructure. Results reveal that ~27% railway assets are at least one hazard ~7.5% a 1/100 year flood event. Global Expected Annual Damages (EAD) due direct damage range from 3.1 22 billion US dollars, which ~73% caused by surface river flooding. EAD small relative GDP (~0.02%). However, in some countries reach 0.5 1% annually,...

Abstract Limited data on global power infrastructure makes it difficult to respond challenges in electricity access and climate change. Although high-voltage transmission networks are often available, medium- low-voltage non-existent or unavailable. This presents a challenge for practitioners working the agenda, sector resilience change adaptation. Using state-of-the-art algorithms geospatial analysis, we create first composite map of system with an open license. We find that 97% population...

The prevalence of cascading failures is growing as infrastructure becomes more interdependent and climate change exacerbates extreme hazards. After such events, the general focus on magnitude direct damage or loss; it less understood how events trigger throughout other infrastructure. In this work, we present a methodology to model indirect impacts from an event for multi-system network, including interconnected end users. We perform case study New Zealand's second largest city,...

Abstract Flood damage assessments provide critical insights on processes controlling building and loss. Here, we present a novel assessment approach to develop an empirical residential database from five flood events in New Zealand. Object‐level data was collected for hazard characteristics, along with relative component sub‐components ratios. A Random Forest Model Spearman's Rank correlation test were applied analyse variable importance monotonic relationships. results reveal inundation...

Abstract Reliable flood damage models are informed by detailed assessments. Damage critical in risk assessments, representing an elements vulnerability to damage. This study evaluated residential building for the July 2021 Westport, New Zealand. We report on hazard, exposure and features observed 247 buildings. samples were applied evaluate univariable multivariable model performance using different variable sample sizes regression-based supervised learning algorithms. Feature analysis...

Abstract Critical infrastructure networks are geographically distributed systems spanning multiple scales. These increasingly interdependent for normal operations, which causes localized asset failures from natural hazards or man-made interference to propagate across networks, affecting those far removed an initiating failure event. This paper provides methodology identify such propagation effects by quantifying the spatial variability in magnitude, frequency, and disruptive reach of...

This study investigates the direct and indirect impacts of extreme sea level (ESL) flooding on critical infrastructure. While methods to quantify ESL coastal areas are well established, that extend beyond directly affected population less understood. assesses vulnerability electricity, road, telecommunication, water supply, wastewater infrastructure service disruption from in South Dunedin, New Zealand. We quantified by single multiple losses caused 100-year average recurrence interval (ARI)...

ABSTRACT Flood impact assessment is limited by a scarcity of damage curves for critical infrastructure network components. This study presents judgement‐based methodology developing component flood curves. The 12 semi‐structured workshops record responses estimated minimum and maximum ratios at 0.5, 1, 2 3 m water depths. 46 responses, weighted participant expertise level, are aggregated into discrete curve each component. Damage presented 34 components across the transportation, energy,...

Abstract This paper develops a tsunami inundation model, filling the current void between industry applied simplified methods (bathtub and attenuation) comprehensive numerical modeling. The proposed model utilizes two‐dimensional equations established on hydraulic principles (energy conservation friction loss) to produce finite‐difference, model. While sophistication of depth‐averaged modeling has not been entirely replicated, incorporation roughness gravitational effects (slope) through...

Abstract This study delivers a spatiotemporal economic risk evaluation of New Zealand’s road network to extreme sea-level driven flooding and relative sea level (RSL) change from 2020 2120. A spatial analysis framework was developed calculate direct monetary loss as the expected exceedance probability (EPL) average annual (AAL) at component level. These metrics were estimated national regional levels between 2120 using RSL projections for medium confidence Shared Socio-economic Pathways...

The water and wastewater sectors of England Wales (E&W) are energy-intensive. Although E&W’s sector is international interest, in particular due to the early experience with privatisation, for time being, few published data on energy usage exist. We analysed telemetry energy-use from Thames Water Utilities Ltd. (TWUL), largest company UK, which serves one mega-cities world, London. In our analysis, we: (1) break down use into their components; (2) present a statistical approach...

Lifeline utilities and critical infrastructures are becoming increasingly interactive dependent on one another for normal operation. With a natural disaster or disruptive event, these dependencies can be studied under stressed conditions. To replicate events inform future simulations, such quantified in both magnitude direction. This paper builds recent efforts by proposing new dependency index methodology that gives importance to the direction of between coupled equally weighting multiple...

Abstract Flood damage arises from complex interactions between flooding processes and socio‐economic elements. Damage assessments for elements such as residential buildings rely on a modelled representation of local factors. Multivariable model approaches are well suited prediction using detailed information flood hazard building characteristics. While broad explanatory variable ranges can improve performance, transfer across geographical contexts often causes performance loss. This study...

Abstract Flood damage assessment is critical for optimal risk management investments. Damage models evaluate physical or monetary loss from direct building exposure to flood hazard processes. Traditional represent a simple relationship whereby increases with water depth. More complex offer an improved understanding of vulnerability, analysing interactions between multiple and variables that drive damage. Our study investigates whether increasing model complexity explanatory improves...

While it is well established that community members should participate in resilience planning, participation with genuine decision-making power remains rare. We detail an end-to-end disaster impact reduction modelling framework for infrastructure networks, embedded within a scenario-based participatory approach. Utilising the AF8+ earthquake scenario, we simulate hazard exposure, asset failure and recovery of interdependent critical networks. Quantifying service levels temporally offers...

There are an estimated 800,000 small reservoirs globally with a range of uses. Given the collective importance these to water resource management and wider society, it is essential that we can monitor understand hydrological dynamics ungauged reservoirs, particularly in changing climate. However, unlike large continuous systematic observations often unavailable. In response, this study has developed retrieval framework for levels using deep learning algorithm remotely sensed satellite data....

Flood risk models are critical for effective evidence-based flood management interventions. Risk typically analyse hazards, elements (e.g., buildings) exposed, and their susceptibility to monetary losses. These model parameters inherently uncertain interactions within a create an loss outcome. This study constructed object-level probabilistic Westport (New Zealand) parameter uncertainty sensitivities residential building prediction. Several combinations were assessed: 1) water depth spatial...

Following a major disaster or disruption, the restoration of infrastructure function is often tracked over time. For more detailed understanding recovery process, this paper separates wastewater into multiple service categories. Each category further defined by three distinct levels service: normal, restricted, and no provision. This proposed format tracking system allows functionality to be in detail than commonly presented metrics literature while still being conducive data collection...