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

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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Developing 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.
Description

CCS Concepts: Human-centered computing → Geographic visualization; Visual analytics

        
@inproceedings{
10.2312:cgvc.20251218
, booktitle = {
Computer Graphics and Visual Computing (CGVC)
}, editor = {
Sheng, Yun
and
Slingsby, Aidan
}, title = {{
Interactive Visual Analytics for Local Decarbonisation Planning: Empowering Policy-Aligned Scenario Exploration
}}, author = {
Laksono, Dany
and
Jianu, Radu
and
Slingsby, Aidan
}, year = {
2025
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-293-6
}, DOI = {
10.2312/cgvc.20251218
} }
Citation