2024 Impact factor 2.2
Soft Matter and Biological Physics

EPJ Data Science Highlight - A data-driven approach for assessing biking safety in cities

A snapshot of an interactive map of results obtained from the authors' model for the city of Pittsburgh, Pennsylvania, USA. Low-risk locations are colored green, while risky locations are colored red.

The bicycle is arguably the most sustainable and eco-friendly mode of transport but biking safety remains a prime concern, especially in cities. In their work recently published in EPJ Data Science Konstantinos Pelechrinis and his co-authors propose a model which provides interpretable findings for practical change.

Continue reading the blog post here.

Editors-in-Chief
F. Croccolo, G. Fragneto and H. Stark
I am perfectly satisfied by this layout. Let me thank you for the wonderful editorial work.

Pasquale Ciarletta, UPMC, France

ISSN (Print Edition): 2429-5299
ISSN (Electronic Edition): 2725-3090

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