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Special Topics

EPJ Data Science Highlight - A data-driven approach for assessing biking safety in cities

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Published on 25 March 2021
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.

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Managing Editors
Sandrine Karpe and Vijala Kiruvanayagam (EDP Sciences) and Sabine Lehr (Springer-Verlag)
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Dear Isabelle, dear Ms. Lehr,
We want to express our sincere thanks to you for your outstanding work perfectly in time.

Kerstin Eckert, TU Dresden, Germany
on behalf of the other Editors EPJ Special Topics 220, 2013

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ISSN: 1951-6355 (Print Edition)
ISSN: 1951-6401 (Electronic Edition)

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