Highway Safety: Research Continues on a Variety of Factors That Contribute to Motor Vehicle Crashes

NHTSA · 2003 · ROSA P / United States. General Accounting Office

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Summary

This 2003 report by the United States General Accounting Office (GAO) addresses the multifaceted causes of motor vehicle crashes in the United States, motivated by congressional requesters seeking updated information on crash factors and ongoing Department of Transportation (DOT) research. While fatalities per 100 million vehicle miles traveled decreased significantly from 1975 to 2001, the decline in absolute fatalities had leveled off, and crashes continued to incur substantial economic costs. The report aims to categorize contributing factors and identify current federal research initiatives aimed at improving highway safety. The GAO conducted its analysis by examining data from three primary NHTSA databases: the Fatality Analysis Reporting System (FARS), the Crashworthiness Data System (CDS), and the General Estimates System (GES). Additionally, the researchers reviewed literature, interviewed experts from academia and insurance organizations, and consulted with federal officials from NHTSA, the Federal Highway Administration (FHWA), and the Transportation Research Board. The methodology relied on statistical analysis of crash data from 1997–2001 and an evaluation of existing studies, including the seminal 1970s Tri-Level Study, to determine the reliability and relevance of findings regarding human, environmental, and vehicle factors. The report identifies three primary categories of crash contributors: human factors, roadway environment factors, and vehicle factors, with human factors deemed the most prevalent. Human factors include speeding, traffic control violations, alcohol and drug impairment, and driver inattention. Data analysis revealed that speeding contributed to approximately 30% of fatal crashes, with younger male drivers disproportionately represented. Alcohol was a factor in 41% of fatal crashes, with studies indicating that impairment begins at blood alcohol content levels as low as 0.02%. Driver inattention, including distraction and drowsiness, affected millions of drivers, with younger drivers (ages 16–20) showing the highest rates of inattentive behavior. Roadway factors involve design flaws and hazards, while vehicle factors include mechanical failures. The report also highlights ongoing DOT research, such as the 100-Car Naturalistic Driving Study and the Drive Atlanta Study, which utilize sensor-equipped vehicles to gather detailed data on naturalistic driving behaviors and crash precursors. The significance of this report lies in its comprehensive synthesis of crash causation data, reinforcing the conclusion that crashes are rarely caused by a single factor but rather by a combination of human, environmental, and vehicle elements. By identifying human error as the dominant contributor, the report underscores the need for targeted interventions, such as improved enforcement of speeding and DUI laws, and enhanced research into driver distraction and fatigue. The documentation of ongoing federal research programs indicates a strategic shift toward collecting more granular, real-world driving data to develop effective countermeasures. This analysis provides a foundational understanding for policymakers and safety experts aiming to reduce the persistent economic and human costs of motor vehicle crashes.

Key finding

Human factors are considered the most prevalent factors contributing to crashes, followed by roadway environment and vehicle factors.

Methodology

dataset

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).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• pre crash contributing factors
• causation analyses
• incidence prevalence
• demographic disparities
• comparative international
• naturalistic crash near crash

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: crash risk outcomes, observational prevalence
• Methodological Resource: dataset resource