US Transit Ridership Analysis By Omar Hamad

My visualization: https://public.tableau.com/shared/HPQ2J238T?:display_count=n&:origin=viz_share_link

Selected Variables

From 12 original variables, I chose 6:

  • Year - for time series
  • Primary USA City - geographic comparison
  • Ridership - main metric
  • Primary UZA Sq Miles - city size context
  • Vehicle Revenue Hours - service levels
  • Collisions with Motor Vehicle - safety data

These variables show ridership patterns while providing geographic and operational context.

Key Findings

Massive ridership differences - Some cities have 250M+ riders while others have under 50M, showing huge variation in transit usage.

Stable trends - Ridership stayed consistent between 2014-2015, suggesting established commuting patterns.

Clear tiers - Data shows distinct groups: major transit hubs, mid-size systems, and smaller regional services.

This reveals how differently American cities approach public transportation and suggests ridership reflects long-term urban planning decisions rather than short-term changes.

Comments

Popular posts from this blog

R Programming Journal - Omar Hamad

Assignment 6

Generic Functions in R