Unfortunately due to the way the data was collected we can't tell which stops the riders got on at so we have had to sum the riders to each neighborhood polygon. I am not sure how else to put the data together to be honest and still be able to see how the neighborhoods ridership cluster. I can input each rider at a lat/long but then each point represents a rider which then only has a value of 1 which does not work for the analysis.
I believe I am getting confused because I keep thinking that distance does not really affect where the rider gets on it hence the setting of the Zone to cover the city. But then at the same time it could affect hence the inverse distance. So trying to see which works. Or I was trying to figure out how to create a spatial matrix file. But same problem with choosing that as well.
What I am trying to do is figure out where our highest significantly different rider usage is at a neighborhood level. Which is proving difficult with that data that was made available to us.