Transport Demand Forecasting

Forecast airport passenger volumes, route demand, and catchment area traffic using aviation demand modeling, economic drivers, and market analysis frameworks.

Analyze and forecast freight transport demand by mode, corridor, and commodity type using economic drivers, trade flow data, and logistics network modeling.

Quantify induced travel demand from highway capacity expansions and assess long-term traffic growth implications using elasticity models and empirical research.

Develop 20–30 year transport demand forecasts for regional transportation plans integrating land use projections, demographic trends, and socioeconomic scenarios.

Forecast public transit ridership for bus, rail, and metro systems using demand modeling, land use data, and service change scenario analysis.

Design household travel surveys, origin-destination studies, and transport data collection programs to support demand modeling and forecasting projects.

Design and analyze transport demand scenarios for autonomous vehicles, remote work, climate policy, and urban growth to stress-test infrastructure plans.

Build and interpret urban travel demand models using four-step and activity-based frameworks to forecast mode choice, trip generation, and traffic volumes.