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

A Spatial Analysis of Pedestrian Accident and Walkable Greenway Street Networks in a Rapidly Growing Mid-Size City: A Case Study of Nashville, Tennessee | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Spatial Analysis of Pedestrian Accident and Walkable Greenway Street Networks in a Rapidly Growing Mid-Size City: A Case Study of Nashville, Tennessee Nuhu Imoro, Jacob Oluwoye, Ahmed Ouf, Dutt Florina, Pascal Buggs, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7810040/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract 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. Active mobility Walkability Greenways Pedestrian Accidents Spatial Analysis Pedestrian safety Transportation Planning Full Text Additional Declarations No competing interests reported. Supplementary Files DataBase.xlsx DataWord.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7810040","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":533431741,"identity":"ced1d5b0-8b30-4d6f-9742-2e58431f9b37","order_by":0,"name":"Nuhu 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