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Public Transportation Ridership Analysis & Forecasting

In this project, I conducted an in-depth analysis of public transportation ridership trends to uncover key insights and optimize service efficiency. The study focuses on ridership patterns, pandemic impact, correlations between transportation modes, and strategic decision-making for the Metropolitan Transportation Authority (MTA).

Key Deliverables:

️ Trend Analysis: Examined daily ridership changes over time and identified seasonal patterns.

️ Pandemic Impact Assessment: Evaluated ridership recovery and the overall health of different transportation modes.

️ Correlation & Dependency: Analyzed relationships between subway, bus, and bridge/tunnel traffic.

️ Performance Comparison: Measured pre- and post-pandemic retention rates across transportation modes.

️ Outlier Detection: Identified significant ridership spikes and drops.

️ Forecasting: Predicted future ridership trends to support data-driven decision-making.

Strategic Insights & Recommendations:

Service Optimization: Suggested improvements to train and bus schedules based on ridership demand.

Financial & Policy Decisions: Assessed the impact of fare adjustments, off-peak incentives, and congestion pricing.

??? Customer Experience & Accessibility: Proposed strategies to improve public transit adoption and passenger satisfaction.

Skilled in data analysis, visualization, and forecasting—ready to provide actionable insights for transit optimization!