2020 Impact factor 3.911

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.

Editor-in-Chief
Paolo Biscari
Thank you very much for your assistance and quick and excellent handling of the manuscript.

Jakub Bielecki, Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland

ISSN: 2190-5444 (Electronic Edition)

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