October 30, 2025
Scaffolds, side‑eyes, and spicy comments
Estimating the Perceived 'Claustrophobia' of New York City's Streets
NYC's 'crowded streets' score sparks scaffolding fury, country-vs-city brawl, and an AI pun
TLDR: NYC’s new sidewalk “claustrophobia” score counts clutter like scaffolding to map how cramped blocks feel. Comments cheered cracking down on endless scaffolds, mocked the subjective weights, swapped city-vs-country stories, and tossed in Rikers and AI jokes—highlighting real stakes for safer, saner streets.
New York is trying to measure how squished its sidewalks feel—and the comments section turned into a block party. The researcher used city maps to sample sidewalk points every 50 feet, then counted nearby clutter—think trees, benches, and the true villain of the thread: scaffolding—within 25 feet, weighting each by size. The plan: refine the “claustrophobia” score and publish research later. The vibe: part science, part street fight.
The loudest cheer came from the anti-scaffold brigade. One user called scaffolding an “absolute blight” and demanded fines for those year-long eyesores, while others nodded hard. But not everyone bought the vibe math. Skeptics side-eyed the “weights based on personal experience,” asking if this is science or sidewalk astrology. Country folks rolled in to say, “All cities feel claustrophobic,” dropping wholesome Bronx-to-Fordham family tales to prove it. Then the snark arrived: “Obviously, he’s never been to Rikers,” one commenter jabbed, turning a sidewalk model into a prison-conditions dunk. And tech-brained readers couldn’t resist: someone misread “claustrophobia” as “Claude,” turning the thread into an accidental AI meme.
A link to artsy city-feels mapping—psychogeography—gave the convo some brainy gloss. Verdict: whether you love data or just love drama, NYC sidewalks are officially crowded—with clutter and opinions.
Key Points
- •The article outlines a method to quantify perceived sidewalk “claustrophobia” across New York City.
- •Sidewalk geometries from NYC OpenData are simplified using the Shapely library to reduce complexity.
- •Points are segmentized along sidewalks at least every 50 feet to sample conditions.
- •Clutter is identified from NYC OpenData datasets and captured via 25‑foot buffers around points using spatial joins.
- •Clutter types are weighted by estimated size based on pedestrian experience, with proposed refinements such as surveys.