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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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Anne Ruimy and Vijala Kiruvanayagam (EDP Sciences) and Sabine Lehr (Springer-Verlag)
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Susana Alexandra Barbosa, Centre for Information Systems and Computer Graphics, Porto, Portugal
Editor EPJ Special Topics 224/4, 2015

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

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