Interactive Visual Analytics for Local Decarbonisation Planning: Empowering Policy-Aligned Scenario Exploration

Simple item page
dc.contributor.authorLaksono, Danyen_US
dc.contributor.authorJianu, Raduen_US
dc.contributor.authorSlingsby, Aidanen_US
dc.contributor.editorSheng, Yunen_US
dc.contributor.editorSlingsby, Aidanen_US
dc.date.accessioned2025-09-09T05:12:40Z
dc.date.available2025-09-09T05:12:40Z
dc.date.issued2025
dc.description.abstractDeveloping equitable and effective decarbonisation plans is a critical challenge for UK local authorities, who must balance complex technical, social, and economic factors. While computational models can propose optimal solutions based on a single objective, they often fail to account for the nuanced trade-offs and competing priorities inherent in public policy. We address this with a visual analytics system designed to support a human-in-the-loop planning process. Our primary contributions are threefold: (i) a modular, component-based planning paradigm that makes the construction of complex, multi-objective strategies cognitively manageable; (ii) a multi-scale visualisation framework that uses a model-driven glyph design to represent multivariate and temporal data uniformly across geographic scales, enabling fair and just assessment; and (iii) a tightlyintegrated workflow that allows planners to iteratively explore data, compose interventions, simulate outcomes, and refine their strategies in real-time. We demonstrate through an application scenario how our system empowers planners to move beyond monolithic optimisation and engage in a transparent, evidence-based dialogue with their data, ultimately supporting the creation of more robust and equitable decarbonisation plans.en_US
dc.description.sectionheadersVisualisation
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20251218
dc.identifier.isbn978-3-03868-293-6
dc.identifier.pages7 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20251218
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/cgvc20251218
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Geographic visualization; Visual analytics
dc.subjectHuman centered computing → Geographic visualization
dc.subjectVisual analytics
dc.titleInteractive Visual Analytics for Local Decarbonisation Planning: Empowering Policy-Aligned Scenario Explorationen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
cgvc20251218.pdf
Size:
2.86 MB
Format:
Adobe Portable Document Format
Download
Collections
Computer Graphics & Visual Computing (CGVC) 2025