6555 - Parking Research Update

by Yazan Abulaimoun - updated April 2, 2026

This project is building a corridor-level research design to study what happens after cities remove parking minimums. The work so far has moved in stages: shortlist cities with different treatment levels, identify likely commercial corridors, overfetch and review corridor geometries, and then build tract-based NaNDA baselines to see how corridor business patterns may be changing over time.

NaNDA is the National Neighborhood Data Archive, a longitudinal business-and-neighborhood dataset that can be used here to build first-pass corridor proxies from tract-level business counts over time. In this project it serves as an aggregated baseline before moving to business-level history work.

The large, mid, and small labels refer to city-size cohorts. We anchored the selection around three cities that have been living with parking-minimum removal for a relatively long time: San Francisco, Buffalo, and Hartford. Those anchors also happen to sit in three different size bands, so we built same-size cohorts around them and included cities at different implementation levels, from fuller reforms to partial reforms and proposal-only cases.

The city sections below provide direct access to the corridor review maps for each shortlisted case and link into the NaNDA summary page for the same city. The goal is to keep this share bundle simple enough to browse quickly while still exposing the key artifacts and process notes behind the study.

TODO - Building Historical Business Dataset

The next step after analyzing the NaNDA baselines is to move to a more detailed historical business dataset. That next phase will build corridor-level business histories with finer spatial and temporal detail so we can better track openings, closings, persistence, and category change.

Open the historical business dataset plan

Large Cities

5 cities in this band.

Mid Cities

4 cities in this band.

Small Cities

3 cities in this band.