2021 Impact factor 1.611
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.

A. Beige, J. Burgdörfer and S. Ptasinska
It was my pleasure to be given the opportunity of being helpful in the scientific production process of EPJD. I enjoyed the experience as a referee for the journal: it was instructive, and its procedures were clear and simple. You can certainly count on my assistance for future similar appointments.

Luca Argenti

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

© EDP Sciences, Società Italiana di Fisica and Springer-Verlag

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