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CityBikes: bike sharing networks around the world

citybik.es

21–30 of 46 posts

Re: CityBikes: bike sharing networks around the world

#24

I built an app over it that attempts to predict the future state of any network. It later recommends addings/substractions in order to keep offer and demand balanced among stations. It could work in about 440 cities but none of the big companies that lead this wanted this. What would you do with it?

That depends why they don't want it. Did any explain this? Maybe you're not articulating the value prop?

That'll be a good way to decide whether to keep trying to sell to them, what to change etc.

If you've exhausted that you may look at other applications for the technology.

Re: CityBikes: bike sharing networks around the world

#26
Just spent 3 weeks in 6 cities in China. Ofo and Mobike seems to be the biggest bike share companies. There is also a company that makes electric bikes (with hub motor) available for bike share.

How they work: 1. Pay a deposit (99 RMB for Ofo, 299 RMB for Mobike) and register 2. Scan the QR code to unlock the bike -Mobike will unlock automatically- Ofo will send a pin to your phone that you can use to unlock the bike. 3. When you are done, just lock up your bike (rear wheel) and leave it anywhere.

In Shanghai it was common to see incensed security Guards dragging bikes off premises. Bikes definitely do clutter up precious walking space.

Re: CityBikes: bike sharing networks around the world

#28

I built an app over it that attempts to predict the future state of any network. It later recommends addings/substractions in order to keep offer and demand balanced among stations. It could work in about 440 cities but none of the big companies that lead this wanted this. What would you do with it?

I'm pretty sure all these companies already have a system like that. The problem is actually getting the bikes moved given the amount of personnel/vans they have.

Re: CityBikes: bike sharing networks around the world

#30
post #13

How is the data gathered? In Stockholm all three items were in the middle of the water without any real information. The names sounded faux and were ungooglable.

Data is scraped from various sources (APIs, websites). Code is public: https://github.com/eskerda/pybikes.
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