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Explore a comprehensive conference talk that analyzes what makes bike-sharing systems successful across European cities through data-driven research. Learn how researchers Felix, Georg, and Martin built a geospatial analysis pipeline to reconstruct trip data from publicly accessible system status feeds, gathering 43 million kilometers of bike-sharing trips across 268 European cities. Discover how they combined this massive dataset with over 100 urban indicators per city to reveal how infrastructure, climate, demographics, operations, and politics shape system performance. Examine surprising insights about why some e-bike systems underperform despite strong demand and understand how cities can design smarter, more equitable mobility solutions. Access the complete methodology through their open-access scientific publication and explore the findings through an interactive demo that allows you to visualize traffic flows and patterns. Gain insights into the complex relationship between urban planning, socioeconomics, and technology through statistical modeling applied to large-scale transportation data, while learning about the challenges researchers faced when collecting and publishing this comprehensive European bike-sharing dataset.
