# Paris Urban Mobility: Navigo Validation Data Analysis
> Explore insights from Paris transit data (Q4 2024). Analysis covers weekly rhythms, event impacts, and transport mode distribution in Île-de-France.

Tags: paris-transit, navigo-data, urban-mobility, data-visualization, public-transport, ile-de-france-mobilites, metro-usage
## Urban Mobility in Paris: Navigo Validation Analysis
* Analysis of transit trends in Q4 2024 focusing on network stability and event impact.
* Source: Île-de-France Mobilités (IDFM) Open Data.

## Methodology & Data Context
* **Scope:** Metro, RER, and Train validations from Nov 12 to Dec 16, 2024.
* **Variables:** Validation counts (`nb_vald`), dates (`jour`), and ticket categories (`categorie_titre`).

## Analysis 1: The Weekly Rhythm
* **Weekdays:** Average ~4.5 Million validations.
* **Weekends:** Significant drop to ~2.1-2.5 Million (approx. 50% decrease).
* Network usage is primarily driven by professional and academic commuting.

## Analysis 2: Mode Distribution & Hubs
* **Metro Share:** Accounts for ~60% of validations as the backbone of short-distance travel.
* **Key Hubs:** Gare du Nord and Châtelet-Les Halles represent nearly 15% of total volume.

## Analysis 3: Event Impact Detection
* Usage of 7-day trends to identify disruptions (strikes/holidays).
* Significant anomalies are flagged when daily volume deviates sharply from the moving average.

## Passenger Segments
* **Commuters (Navigo Annuel):** Dominant, consistent M-F sawtooth pattern.
* **Students (Imagine R):** High volume but greater variability during holidays.

## Limitations & Conclusion
* **Limitations:** Data is daily (no hourly rush hour analysis) and entry-only (no origin-destination tracking).
* **Conclusion:** Paris mobility is a rigid, industrial rhythm highly sensitive to external disruptions.
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