How Does Pedestrian-Driver Behavior Influence in the Number of Crashes? A Michigan’s Case Study

Alhomaidat, Fadi; Acosta-Rodriguez, Lusanni · 2021 · Crossref

DOI: 10.2478/ttj-2021-0012

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Summary

This study investigates the influence of pedestrian and driver behaviors on crash frequencies in Grand Rapids, Michigan, the state’s second-largest city. Motivated by rising pedestrian crash rates and the vulnerability of walkers, the research aims to identify spatial patterns and contributing factors to inform targeted safety countermeasures. The authors analyzed nine years of crash data (2010–2018), noting that Grand Rapids had a pedestrian crash ratio of 1:198, ranking second among major Michigan cities. The methodology combined Geographic Information System (GIS) mapping with detailed police report analysis. Researchers plotted 971 coordinate-verified crashes to identify high-frequency clusters, selecting five specific corridors in the downtown area for in-depth study. Using a 250-foot buffer around intersections within these corridors, they examined 113 crashes. The analysis integrated demographic data, infrastructure features (e.g., signal types, crosswalk presence), and UD-10 police reports to determine human factors and geometric conditions associated with each incident. Key findings revealed that approximately 50% of crashes resulted in possible injuries, most occurred at intersections, and 16% involved alcohol. The study identified four dominant crash patterns: conflicts with left-turning vehicles, conflicts with right-turning vehicles, crashes at locations with unclear or missing crosswalks/stop bars, and incidents involving intoxicated pedestrians. Specifically, left-turn conflicts often occurred during permissive phases where drivers failed to yield to pedestrians with a "WALK" signal. Right-turn conflicts frequently involved drivers failing to stop or yield on red lights. Additionally, many crashes occurred where crosswalk markings were absent or faded, and some involved pedestrians entering roads recklessly while under the influence. The significance of this work lies in its translation of crash patterns into specific, evidence-based countermeasures. The authors recommend installing leading pedestrian intervals (LPI) to increase pedestrian visibility before vehicles receive green lights, prohibiting right turns on red at high-conflict intersections, and installing advance stop bars to improve driver compliance. They also suggest high-visibility enforcement treatments, such as pedestrian gateways, and improving crosswalk markings. These recommendations align with broader transportation goals to reduce fatalities and enhance urban livability, providing actionable strategies for transportation agencies to mitigate pedestrian-vehicle conflicts.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-06-19
archive success canonical_url 1 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-20
chunk success chunk 1 2026-06-20
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-20
promote success 1 2026-06-19
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-20
verify success 1 2026-06-26

Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

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