Understanding Factors That Influence Driver Yielding to Pedestrians [Summary]

Stern, Raphael; Pritchard, Hannah · 2023 · ROSA P / Minnesota. Department of Transportation. Office of Research & Innovation

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Summary

This study addresses the variability in driver yielding behavior at unsignalized intersections in Minnesota, where yielding to pedestrians is legally mandated but inconsistently practiced. The research was motivated by the need to identify specific human and site attributes that correlate with higher yielding rates, thereby providing local engineers with evidence-based strategies to retrofit or construct safer intersections. By understanding risk factors for non-yielding behavior, transportation agencies can better design crossings that enhance pedestrian safety. To investigate these factors, researchers conducted a naturalistic observation study at 18 intersections across the Twin Cities area and Northfield. Sites were selected to represent a variety of conditions while maintaining typical pedestrian volumes, avoiding atypical locations like college campuses. Over approximately two weeks per site, traffic information monitors captured video data from more than 3,300 crossing events. Investigators recorded intersection characteristics and observational notes, while computer vision technology extracted vehicle speeds from the footage. The data included pedestrian traits (such as group size, presence of children, dogs, or strollers), vehicle types, oncoming traffic states, and the number of vehicles passing before a driver yielded. Statistical analysis was then performed to identify correlations between these site- and event-specific factors and driver yielding rates. The analysis revealed several key correlations, though the authors note these do not imply causation. Vehicle speed was the most significant variable, with speeds exceeding 25 mph correlating with decreased yielding rates. Among site features, crossing signs were the most influential; drivers were twice as likely to yield when signs were posted. Conversely, lower yielding rates were observed on wider and multilane roads, as well as in neighborhoods with multifamily housing. Areas with restaurants and parking lots correlated with higher yielding rates. Contrary to common assumptions that pedestrians often cross at inappropriate times, the data showed that only 4% of observed pedestrians began crossing before a sufficient vehicle gap, and over 34% waited to cross even after a gap appeared. The findings suggest that while many influential factors are beyond the control of transportation agencies, understanding their impacts can guide safer intersection designs. The results are being disseminated to local engineers and may be incorporated into the Traffic Engineering Manual and other guidance documents. The study confirms that interventions involving a combination of factors, such as signage and speed management, are likely the most effective ways to increase the likelihood of driver yielding, serving as a proxy for improved pedestrian safety.

Key finding

Vehicle speeds over 25 mph and the absence of crossing signs were strongly correlated with lower driver yielding rates, while crossing signs were associated with a twofold increase in yielding likelihood.

Methodology

naturalistic

Sample size: 3300

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).

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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