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.

Editors-in-Chief
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

Conference announcements