DISA

Centre for Data Intensive Sciences and Applications

Welcome to our PhD-seminar in May

Postat den 28th April, 2026, 12:29 av Elin Gunnarsson

When? May 29, 14.00-15.00
Where? Onsite: D2272 and via zoom
Registration: Please sign up for the seminar via this link https://forms.gle/VXDXziHks8ZYC7kz5
by May 27. This is especially important if you plan to attend onsite so we can make sure there is fika for everyone.

Agenda
14.00-14.10 Welcome and practical information
14.10-14.55 FAVE: A Visual Analytics System for Urban Accessibility Fairness – Parisa Salmanian
14.55 – 15.00 Sum up and plan for our upcoming seminars

Abstract

FAVE: A Visual Analytics System for Urban Accessibility Fairness – Parisa Salmanian
Who has fair access to essential daily services such as schools, hospitals, and grocery stores, and who does not? In rapidly growing cities, answering this question requires more than aggregate statistics; it requires methods that reveal spatial inequalities across multiple urban scales. This talk presents FAVE (Fairness Accessibility Visual Explorer), an interactive visual analytics system for analyzing urban service accessibility fairness in Swedish cities. FAVE combines gravity-based and distance-based accessibility models with inequality measures, including the Gini coefficient and generalized entropy, in a coordinated interface that also integrates dimensionality reduction, parallel coordinates, and explainable boosting machines. 

The system supports the exploration of accessibility patterns at the district, neighborhood, and building levels, and enables exploratory what-if analysis through urban scenario editing, including additions with the ability to adjust attributes such as footprint, floor area, number of floors, floor height, and shape, modification of POIs and buildings, and changes in building type. It also incorporates LLM-based explanations and intervention suggestions. We demonstrate FAVE using building and OpenStreetMap data together with official statistics from Statistics Sweden (SCB) for Växjö and other Swedish municipalities. The results show how the system reveals spatial inequalities in access to healthcare, education, and other essential services, supporting more informed and evidence-based urban planning. 

Det här inlägget postades den April 28th, 2026, 12:29 och fylls under General

Comments are closed.