README.md

In ATFutures/nyped: Model of pedestrian flows throughout New York City

nyped

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:

1. subway
2. residential
3. transportation
4. sustenance
5. entertainment
6. education
7. healthcare

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) | | :--------- | -------: | ---------: | ------: | ------: | | edu-tra | 23977 | 4484 | 5.35 | 0.0000 | | edu-sus | 16904 | 5572 | 3.03 | 0.0031 | | edu-dis | -78057 | 24521 | -3.18 | 0.0020 | | edu-hea | -24921 | 4445 | -5.61 | 0.0000 | | ent-tra | 38179 | 12019 | 3.18 | 0.0020 | | hea-dis | 105658 | 10706 | 9.87 | 0.0000 | | sub-dis | 23 | 3 | 8.99 | 0.0000 | | sub-hea | 8 | 1 | 6.66 | 0.0000 | | sub-tra | 6 | 1 | 5.08 | 0.0000 | | sub-cen | -10 | 1 | -6.99 | 0.0000 | | sus-res | 6258 | 1232 | 5.08 | 0.0000 | | sus-ent | 1446 | 361 | 4.00 | 0.0001 | | sus-sub | -1337 | 331 | -4.04 | 0.0001 | | sus-edu | -5924 | 978 | -6.06 | 0.0000 |

Table 1. Statistical parameters of final model of pedestrian flows through New York City.

A sample of actual flows looks like this:

And a final statistical relationship between modelled and observed pedestrian counts looks like this:

ATFutures/nyped documentation built on Jan. 20, 2020, 10:04 p.m.