Federal Highway Administration Research and Technology National Household Travel Survey Program
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Summary
This report evaluates the National Household Travel Survey (NHTS) Program, a major data collection effort funded by the Federal Highway Administration (FHWA). The evaluation was motivated by the survey’s massive scale—reaching approximately 150,000 households—and high costs, prompting FHWA to assess the program’s long-term impacts, usage breadth, and responsiveness to its user community. The study aimed to determine how NHTS data inform policy, project, and regulatory decision-making across transportation, health, energy, and other fields. The Volpe National Transportation Systems Center conducted the evaluation using a mixed-methods approach. The methodology included a literature search, document review, and in-depth interviews with stakeholders. Quantitative analysis focused on NHTS website usage statistics and the 2014 NHTS Compendium of Uses, which tracks publications citing the survey. The evaluation examined four key areas: the breadth and depth of NHTS usage, its impact on policy and regulatory decisions, the program’s responsiveness to user feedback, and challenges or lessons learned from survey administration. Findings indicate that NHTS data are widely used, with 46% of cited publications focused primarily on transportation, while significant portions address energy (25%), survey methods (12%), environment (9%), and health (8%). Although academics produce the majority of published research, users also include federal agencies, contractors, and metropolitan planning organizations (MPOs). The data significantly influence decision-making; for instance, NHTS informs Federal regulations such as Corporate Average Fuel Economy standards, supports legislative reports like the *Status of the Nation's Highways*, and aids advocacy groups like AARP. At the state and local levels, NHTS is critical for developing, calibrating, and validating travel demand models used in transportation planning. The program demonstrated responsiveness by incorporating user feedback into the 2016 survey redesign, including a shift to address-based sampling. However, challenges include unstable funding, minimal staffing, and difficulties in tracking non-published data usage. The report concludes that while tracing specific policy impacts is difficult, NHTS provides essential context for understanding American travel behavior and serves as a foundational input for models and statistical analyses that drive policy. Recommendations emphasize the need for stable, institutionalized funding to ensure regular survey cycles (every 3–5 years) and increased staffing to enhance outreach and impact tracking. The evaluation highlights that NHTS remains a vital resource for both transportation planning and cross-sector policy decisions, despite operational constraints.
Key finding
NHTS data inform a range of policy and legislative decisions, with its greatest impact occurring at the state and local levels in developing, calibrating, or validating travel demand models.
Methodology
mixed_methods
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Applied Guidance: countermeasure evaluation
- Empirical Findings: observational prevalence
- Methodological Resource: dataset resource