Maps & Geospatial Analysis · 2023

Who Pays to Park? Mapping Tel Aviv's Parking Equity by Neighborhood

PythonGeoPandasQGISChoropleth MappingSpatial Join

Background

Tel Aviv's curbside parking splits into paid (blue-and-white), free (white-line) and grey regulated zones — and its rollout is politically sensitive, since who pays tracks closely with neighborhood demographics. This project mapped that distribution to answer one question: is the burden of paid parking falling evenly across the city?

Maps — Parking Type by Neighborhood

Choropleth map showing percentage of blue-and-white paid parking by Tel Aviv neighborhood

Share of blue-and-white (paid) parking spaces by neighborhood. Darker shading indicates higher proportion of paid curbside.

Choropleth map showing percentage of free parking by Tel Aviv neighborhood

Share of free (unpaid) parking by neighborhood — the inverse of the paid parking distribution, highlighting which areas retain the most free curbside access.

Methodology

  • Spatially joined the municipal parking inventory to neighborhood boundaries with GeoPandas, computing the share of paid vs. free spaces per area.
  • Built choropleth maps in QGIS — Jenks natural-breaks for technical review, simplified manual breaks for committee presentations.
  • Tested color palettes for perceptual clarity and color-vision-deficiency accessibility.

Results

The pattern was stark: central neighborhoods are overwhelmingly paid, while peripheral areas retain large shares of free curbside. That portrait now informs committee discussions on the pace and geography of the next rollout phase.