2024 Impact factor 2.9

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
B. Fraboni and G. García López
Thank you. We are indebted to the reviewers, Editor for their time and pinpoint comments and suggestions. I am also thankful for the Editorial office. The speed of the manuscript processing and the updates are too good.

Vemula Ramakrishna Reddy, IIT Hyderabad, India

ISSN: 2190-5444 (Electronic Edition)

© Società Italiana di Fisica and
Springer-Verlag