Model of pedestrian flows against empirical pedestrian counts for New York City, constructed from “flow layers” formed from pair-wise matching between the following seven categories of origins and destinations:
An eighth category is network centrality, with additional layers modelling dispersal from each of these categories. The model explains R2= 83.9 of the observed variation in pedestrian counts. Final results, with significantly explanatory layers named according to the first three letters of the above categories, looks like this:
|Layer Name||Estimate||Std. Error||t value||Pr(>t)|
Table 1. Statistical parameters of final model of pedestrian flows through New York City.
A sample of actual flows looks like this: