The Next Generation of Travel: Research, Analysis and Scenario Development

NHTSA · 2013 · ROSA P / United States. Federal Highway Administration. Office of Policy and Governmental Affairs

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Summary

This report investigates whether contemporary social, technological, and economic shifts are fundamentally altering the travel behavior of youth (ages 15–26) compared to previous generations. Motivated by the observation that today’s teens face stricter driver’s licensing requirements, unprecedented access to mobile communication technologies, and a challenging job market, the authors question if these factors will lead to lasting changes in mobility patterns. The study aims to distinguish between life-cycle effects, period effects (such as economic downturns), and cohort effects (generational differences) to determine if youth travel is diverging from adult norms. The researchers analyzed data from the Nationwide Personal Transportation Survey (1990) and the National Household Travel Surveys (2001 and 2009). They compared youth travel against middle-aged adults (ages 27–61) across four key metrics: personal miles traveled (PMT), daily trip counts, commute mode choice, and social trip mode choice. Using statistical models, including quasi-cohort analyses, the study assessed the influence of employment status, household income, living arrangements (specifically "boomeranging" back home), internet usage, and graduated driver’s licensing regulations. The primary finding is that economic factors—particularly employment status and income—are the dominant drivers of travel behavior for both youth and adults, with the 2009 recession causing significant contractions in mobility and trip-making, especially among teens. Contrary to hypotheses that technology or licensing laws would drastically reduce travel, their effects were mild or mixed. Internet use was often associated with increased travel rather than substitution, and stricter licensing laws did not significantly reduce overall teen mobility, though they delayed licensure. Quasi-cohort models indicated moderate generational shifts: recent cohorts travel approximately 18% fewer miles and make 4% fewer trips than previous generations at the same life stage, yet they rely more heavily on single-occupant vehicles for commuting. Additionally, traditional demographic distinctions in travel behavior, such as those based on race or gender, appear to be fading among youth. The significance of this research lies in its conclusion that youth travel behavior is not deviating dramatically from adult patterns despite major societal changes. The study suggests that economic conditions remain the strongest predictor of mobility, while technological and regulatory changes have had limited impact on overall travel volumes. The observed generational decline in miles traveled and trips made suggests a potential long-term shift away from the historical correlation between wealth and increased mobility. These findings imply that future transportation planning should prioritize economic indicators over technological adoption rates when forecasting youth travel demand, while acknowledging a gradual, moderate generational shift toward lower overall mobility but higher reliance on private vehicles for work commutes.

Key finding

Economic factors such as employment and income strongly determine travel behavior for both youth and adults, while the effects of technology use, graduated licensing, and living with parents are mild and inconsistent.

Methodology

dataset

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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).

StageOutcomeToolModelPromptAttemptsCompleted
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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