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
We, the authors, are fully satisfied with the peer review process and the transparency followed in the status of the article and rapid processing for the publication.

Prof. R. Chandiramouli, SASTRA University

ISSN: 2190-5444 (Electronic Edition)

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