U.S. Travel Behaviors and Attitudes Before, During, and After COVID-19

A database of travel-related behaviors and attitudes captures changes in the United States surrounding the COVID-19 pandemic. The dataset includes human-readable and machine-readable metadata files. It was curated by the Scientific Data Curation Team.

Use Cases

• Analyze shifts in public travel behavior based on survey data collected across the pandemic timeline
• Model changes in travel attitudes based on demographic or regional variables implied by the description
• Track the long-term societal impact of COVID-19 on mobility patterns in the United States

Strengths

• Data covers three distinct time periods: before, during, and after COVID-19, allowing for longitudinal analysis.
• Metadata is provided in both human-readable CSV and machine-readable JSON formats.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Scientific Data Curation Team

Time Range

Before, during, and after COVID-19

Geography

United States