2024 Impact factor 1.5
Atomic, Molecular, Optical and Plasma 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
A. Beige, H. Kersten and P. Limão-Vieira
"I take this opportunity to thank the EPJD editorial office for the rapid and efficient processing of our paper.

Mauro Temporal

ISSN (Print Edition): 1434-6060
ISSN (Electronic Edition): 1434-6079

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