A Spatial Analysis of Pedestrian Accident and Walkable Greenway Street Networks in a Rapidly Growing Mid-Size City: A Case Study of Nashville, Tennessee

Urban greenways are increasingly promoted to enhance walkability, recreation, and non-motorized transportation. However, their role in pedestrian safety remains understudied. This study investigates the spatial distribution and contributing factors of pedestrian accidents near greenways in Nashville, Tennessee, between 2020 and 2024. Using GIS tools such as KDE, Global Moran’s I, and Getis-Ord Gi* hotspot analysis, the study examines spatial clustering of pedestrian crashes within 500-foot buffers of greenway segments. Statistical analysis, including correlation, scatter plots, and OLS regression, was employed to examine associations between crash frequency and variables such as AADT, speed limits, greenway length, household income, and pedestrian volume. Results indicate that crashes are not randomly distributed but cluster near greenways intersecting with high-traffic zones, particularly in downtown Nashville. Correlation analysis revealed weak relationships between crash frequency and individual variables. The study highlights the need for improved data collection, targeted safety measures at high-risk locations, such as improved lighting, traffic calming, including slow street measures, around greenways areas to mitigate the risk of pedestrian accidents.