I got fed up with my city’s bike-share, so I built BiziData

Like many of you, I use bike-share system pretty regularly. And, honestly, it drives me nuts: either there’s not a single bike when I need one, or the station is packed and I can’t return mine. It feels inefficient—but is it really, or is it just bad luck? That nagging question led me to start tinkering with BiziData, a little side project to dig into the data behind the system. Why this matters Cities release mobility data all the time, but it’s usually buried in APIs or spreadsheets that are a pain to make sense of. So, I thought: What if we could actually see what’s going on? So I started exploring things: How does bike availability change throughout the day? Where do the biggest imbalances happen? What patterns emerge in how people move around? I’m also curious about how outside factors play into usage: Do big events in the city spike demand? How does weather mess with usage patterns? How do other transport options (like buses or scooters) interact with bike-share? Could changes in