COVID-19 impacts on mobility and travel demand

Area of Science:

• Transportation Planning
• Travel Demand Modeling
• Public Policy Analysis

Background:

• COVID-19 pandemic-induced travel restrictions significantly impacted travel demand.
• Observed travel pattern shifts offer insights into long-term behavioral changes and policy effectiveness.
• Existing transportation models require recalibration to account for pandemic-driven uncertainties.

Purpose of the Study:

• To develop a scenario analysis framework for re-evaluating travel demand forecasts.
• To assess the long-term impacts of pandemic-related policies on travel behavior.
• To inform future transportation investment decisions under uncertain conditions.

Main Methods:

• Utilized the Maryland Statewide Transportation Model (MSTM) for scenario analysis.
• Identified and parameterized key variables: work from home, income, discretionary travel, distance learning, e-commerce, vehicle occupancy, and mode choice.
• Employed employer surveys and observed data for parameter value assignment.

Main Results:

• Quantified sensitivities of systemwide vehicle miles traveled (VMT) and vehicle hours traveled (VHT) under various future scenarios.
• Demonstrated the beneficial impact of future investments on systemwide performance across scenarios.
• Confirmed the justification for continued transportation infrastructure investments.

Conclusions:

• The developed scenario framework is adaptable for use in other states and transportation agencies.
• Future transportation investments remain beneficial despite uncertainties.
• The study provides a robust methodology for adapting travel demand models to evolving societal conditions.