Different factors according to studies in other cities correlate. So we now if we started small we wanted to be successful. What with are the 11 factors . I cant list them all but things like did he density of residents topography bicycle use walking theres a few more as well i cant think right now but id be happy to follow up with you on those we have a whole paper to explain the methodology. So if you zoom in on the suitability city wide obviously and if you look in the black and upper right our initial service area then you look at upper market and the mission, these are areas of extremely high suitability for bicycle sharing and when you look at soma we skipped a large number of the stations early on there are pockets of extremely high suitability but theres also pockets next to high suitability. In terms of prioritizing makes sense to go with the suitably areas so this is exciting too. These are maps i havent is shown yet. Much like other cities we hosted a bicycle sharing crowd s
Residents topography bicycle use walking theres a few more as well i cant think right now but id be happy to follow up with you on those we have a whole paper to explain the methodology. So if you zoom in on the suitability city wide obviously and if you look in the black and upper right our initial service area then you look at upper market and the mission, these are areas of extremely high suitability for bicycle sharing and when you look at soma we skipped a large number of the stations early on there are pockets of extremely high suitability but theres also pockets next to high suitability. In terms of prioritizing makes sense to go with the suitably areas so this is exciting too. These are maps i havent is shown yet. Much like other cities we hosted a bicycle sharing crowd sourcing map on our website allowing people from the public to go to the website and placing a dot suggesting a bicycle sharing station likewise you could like somebodys dot and so that graphic which i dont have
Interesting and exciting numbers. I just want to grab my notes really quickly. So this shows trips from midaugust through last week i wasnt able to chart the latest data. Overall San Francisco trips the blue line peaks out at almost 12 hundred trips were averaging somewhere between 900 and 1000 trips a day healthy use translates into 2. 5 trips per day per bicycle which is a number were happy with and the blue shaded region represents thats trips by annual members. And then the green line below represents trips by casual members. You can see where the green bar and the lowest valleys are on both of the blue graphs thats weekends and you can see that the casual usage is higher generally on the weekend where as the annual members and overall really peaks midweek. Why do you think that is and some of the casual users people enjoying their weekends. Certainly. Why are they most likely to rise during the week . I think a lot of commute trips but theres more people in the service area during
Much or Third Generation bicycle sharing which is what were talking about with the system in San Francisco and other cities its less about the bicycle than it is about Information Technology and the Information Technology is mostly stored in the station and this is a diagram two views of the station and this is one of the most commonly used systems in use right now mostly in north america developed by the city of montreal and also in use in london and melbou r. N. E and minnesota and boston San Francisco bay area and soon to be in use in vancouver portland and seattle and so this system was designed in montreal to be seasonal so as a result its a portable and modular system. What that means here we can deploy them quickly and easily without doing any excavation it simplifies deployment significantly they are Battery Powered using solar and as mentioned theres no excavation they are not even bolted down they are held down by their own considerable weight and the basic components consist
And ill say that although i certainly would have liked to roll out thousands of bicycles we were disappointed to roll out 300, 350, that has afforded us an opportunity to do things a little more thoughtfully. If we had rolled out with the initial number they would have been in that service area and the initial thinking was when we got the missing 150 bicycles we would indeed fill in the gaps in that service area but weve been thinking about it hearing from people watching how the system is being used and our thinking now is today ahead and move into areas where we dont have stations now that are basically contiguo u. S. And go around the corner down mission and valencia into the mission and this doesnt mean filling in isnt a good idea but right now if we have to prioritize, sure would be nice if it went to where i live a little more or where i play and i think mission and upper market definitely fall into that category. I have an couple of slides that explain our thinking more on that.