Penn Through-Running District Atlas
This page translates a tract-level through-running model into a district-facing public-policy brief. It shows where Penn through-running would most clearly matter, which corridors were actually modeled, who currently represents each district, and why some districts are first-wave winners while others are more indirect parts of the regional case.
Which through-running corridors were analyzed
The model centers on two corridor families, not a vague systemwide fantasy. That matters because the strongest first-wave case comes from specific Penn-linked trips that are already long, rail-oriented, and forced to absorb Penn transfer friction today. In the Long Island and Queens market, the scenario also allows a shared Sunnyside regional station where that changes east-side access conditions.
How to read the anomalies
Some results look surprising at first glance. These are the main patterns that deserve interpretation rather than a quick superficial read.
Interactive district map
Need versus direct payoff
Each bubble is a district in the active layer. Farther right means higher current long-commute burden. Higher means more workers clearing the 15-minute savings threshold. Bigger bubbles indicate more total beneficiaries.
Scale versus equity
This view shows which districts combine large beneficiary counts, strong low-income reach, and meaningful daily time savings. Click a point to focus that district on the map.
Featured districts by legislative layer
These are the strongest three districts in each reporting layer on a combined first-wave score that balances direct time savings, total beneficiaries, job-access growth, equity, and existing long-commute burden. The goal is to foreground districts with the clearest public case, not just the biggest raw number on one metric.
Methodology
This section is written for an intelligent but fresh reader: what was modeled, what was not, and why the results should be read as a policy-facing district analysis rather than a detailed operating plan.