mibici in Guadalajara

There are many ways to evaluate policy. This isn’t a paper, perhaps user adoption is one of them, let’s take a look. My hometown, Guadalajara adopted one of those bike sharing programs some years ago. It’s called mibici (mybike). They have some open user data and based of what I’ve seen, it can be quite popular:

Total trips.

Figure 1: Total trips.

The plot above is most of the trips that they have saved. There’s a lot of observations missing in 2017. They changed the format for some strange reason, some encoding was lost, and all of those trips had to be dropped with extreme prejudice. Such is life. Guadalajara, a non-tropical city in the tropics with basically 2 seasons (wet and dry) looks like a giant grid of cement.

 It's lovely.

Figure 2: It’s lovely.

As fun and interesting as a giant grid of cement looks from above (1 degree is around 69 miles/111 km), it just won’t work with those colors. Another map will have to do:

Much better.

Figure 3: Much better.

Coverage and usage

This is the absolute current coverage of the program (or at least, until the end of 2018). Each dot represents one station, regardless of whether they are active, inactive, or how many bikes they have. The highest concentration is in the actual downtown of the city (in general, the historic center will host the cathedral, as is the case here. Thankfully the map shows it as a somehow obscure point of interest).

Current total stations.

Figure 4: Current total stations.

However, it is important to notice that the program did not start with all of these stations but rather, new were added in time. mibici started mostly downtown and gradually added more stations, not only around the same area, but also in new locations (some sort of type), here’s the station growth:

Two things are immediately interesting to me. First is that there is this one random station in the middle of nowhere (actually it’s somewhere around here), a pretty populated area. The thing is, this is the only station of this group anyway, either active or inactive. Second, it seems that some stations were shuffled around, in very similar locations. No explanation is (was) given for this in their site.

Total stations per group
location total

Below is a timelapse of the usage of the stations by gender where applicable, since the beginning of the program until the end of 2018. It seems that the designers did a good job, as the biggest circles are in the ‘central polygon’ (POLÍGONO CENTRAL, also the group that has the most stations), more trips originating from downtown than the periphery.