Aalborg University

University | Denmark

Aalborg University connects expertise with real-world problems, participating in missions that create sustainable solutions. These missions shape the university's actions, supported by European and national fundings.

Main Tasks in PROMISE

WP3 Leader: Develop Advanced Micro-Mobility Decision Support Tool (MDST)

Comparative analysis of state-of-the-art Decision Support Tools
Needs assessment and requirement analysis
Data gathering and synthesis using GIS and OpenStreetMap
Micro-mobility and delivery network design
Development of interactive GIS-based MDST with ML algorithms

Expertise & Research Focus

AAU brings specialized expertise in:

Geovisual Analytics: Data-driven decision support systems using geospatial data
GIS Technologies: Spatial-temporal analysis and geo-visual dimensions
Machine Learning: Advanced analytics and modeling for urban mobility
Urban Systems: Comprehensive understanding of transportation networks

Key Personnel

Dr. Irma Kveladze

Specialization: Geovisual Analytics

Expert in data-driven decision support systems using combinations of techniques and tools for geospatial data analysis, with extensive experience in developing interactive visualization environments for complex movement data.

ORCID: 0000-0003-4106-1195

Prof. Jamal Jokar Arsanjani

Specialization: Geographic Data Science

Expert in incorporating geographical data, tools, and models into interdisciplinary approaches required for data-driven decision-making processes for sustainable urban development.

ORCID: 0000-0001-6347-2935

Selected Publications

Kveladze, I., Jokinen, J., Tapia, C. and Hansen, H.S. (2024). What Can Location-Based Social Media Reveal on Human Migration Patterns in Europe? Journal of Maps, 20(1). DOI
Kveladze, I., Keßler, C. and Hansen, H.S. (2023). Analysis of human migration patterns: use cases of Amsterdam and Copenhagen. LBS, 17(4). DOI
Kveladze, I. and Agerholm, N. (2020). GeoVisual analytics for understanding the distribution of speeding patterns on arterial roads. LBS, 14(3), 201-230. DOI
Kveladze, I., Kraak, M.J., and van Elzakker, C.P.J.M. (2015). The space-time cube as part of a GeoVisual analytics environment to support the understanding of movement data. IJGIS, 29(11), 2001-2016. DOI