Here I'd like to write down several possible models. One new idea I've had for modelling is using segment popularity on the segment level as a predictor for ride rating.
rating ~ (1 | rider) + temp + rush.hour +
I keep on coming back to this. More and more I get the sense that the map matching they have done won't be sufficient. It looks like the routes have nearly been roughly snapped, but a lot of strays, rather than actually mapped to segments. I may have to quickly find a way to snap it.
This could be really good though, if I am able to match it directly to the bicycle network from CivicApps.
Here is one promising library: https://github.com/Project-OSRM/osrm-backend/wiki
I've finally started actually cleaning most of my data better. I've created the
folder data-raw
to hold the raw data as well as the scripts that clean the
data. The nice thing here is that I can now just have those scripts run on the
data when I run the models.
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