• GIST Lab

    GIScience for Sustainability Transitions (GIST) Lab advances research, teaching and open-source scientific software related to sustainable development.

  • MAPICO

    Mapping commute-related carbon emissions with high spatial resolution using big data and probabilistic approaches (MAPICO) -project aims to develop novel methodology for quantifying carbon emissions in urban areas due to daily commute of people on a statistical grid-level. We will test the methodologies in practice by mapping the commuting-related carbon footprints on a monthly temporal scale in various cities in Finland, Sweden and Norway. We also investigate how such information could be used in practice for transport planning that could help to achieve more sustainable travel behavior. The project (2023-2027) is funded by Research Council of Finland. 

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About Research Group

We at GIST Lab are an interdisciplinary research group interested in harnessing GIScience-based spatial methods and modelling to better understand and address sustainability challenges. Our key research areas include sustainable mobility, spatial accessibility, sustainable water resource management, urban design and planning, as well as cybersecurity related open spatial data. Guided by seasoned scholars and driven by innovative young minds, we aim to craft solutions for a resilient, sustainable future. 

We are based at the Department of Built Environment, Aalto University.

Dr. Henrikki Tenkanen

Assistant Professor

Dr. Jussi Nikander

Senior Lecturer

Dr. Josias Láng-Ritter

Postdoctoral researcher

MSc Teemu Jama

Doctoral researcher

MSc Cesar Marin Flores

Doctoral Researcher

Dr. Subhrasankha Dey

Postdoctoral Researcher

MSc Newsha Modjrian

Doctoral Researcher

Dr. Oleksandr Karasov

Postdoctoral researcher

Measuring just accessibility within planetary boundaries. (2024).

Elias Willberg, Henrikki Tenkanen, Harvey Miller, Rafael H.M. Pereira & Tuuli Toivonen

Compact city and urban planning: Correlation between density and local amenities (2024)

Teemu Jama, Henrikki Tenkanen, Henrik Lönnqvist, Anssi Joutsiniemi

A data-driven approach for estimating travel-related carbon emissions with high spatial and temporal granularity (2024)

Henrikki Tenkanen, Ngoc Chau, Subhrasankha Dey

Threats Related to Open Geospatial Data in the Uncertain Geopolitical Environment (2024)

Jussi Nikander, Teemu Jama, Henrikki Tenkanen