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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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David Blaschke, Silvia Leoni and Dario Vretenar
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Thanks to the referees for their helpful suggestions, and thanks to all EPJA Editorial and Production Office team for their professionalism and kindness! Thank you!

Danut Argintaru, Universitatea Maritima din Constanta, Romania

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ISSN (Electronic Edition): 1434-601X

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