Hi everyone, I’m new here and happy to join this community.
Lately, I’ve been thinking about how energy systems react when key routes or infrastructure get disrupted. It looks like these situations are often discussed in terms of supply or markets. But I feel, underneath that, they’re really about networks, locations, and more significantly, dependencies.
Energy flows through specific corridors. It relies on connected infrastructure. And it often depends on a few critical nodes. When one part is affected, the impact spreads much wider than expected.
That made me wonder, where do you think GIS adds the most value in understanding these kinds of situations? Is it mapping chokepoints and critical routes, analyzing network dependencies, identifying single points of failure, or supporting scenario planning and rerouting?
Curious to hear how others in the GIS community think about this.
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One way to look at this is via a Knowledge Graph (https://www.esri.com/en-us/arcgis/products/arcgis-knowledge/overview) which could show all the dependencies up and downstream from any impact point.
If the data is available and you map it in a knowledge graph, you can run different scenarios to see where the greatest impact would be for a potential failure.
One way to look at this is via a Knowledge Graph (https://www.esri.com/en-us/arcgis/products/arcgis-knowledge/overview) which could show all the dependencies up and downstream from any impact point.
If the data is available and you map it in a knowledge graph, you can run different scenarios to see where the greatest impact would be for a potential failure.
That’s a really good perspective @George_Thompson . A knowledge graph definitely adds a deeper layer to understanding dependencies and cascading impacts. Appreciate you sharing that approach.
Here are some examples to help with your research: https://www.esri.com/about/newsroom/blog/mitre-maps-americas-hidden-infrastructure-vulnerabilities
Thank You George! Will go through them.