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Assessing large-scale roadside tree removal using aerial imagery and crash analysis: A difference-in-differences approach
Accepted manuscript   Peer reviewed

Assessing large-scale roadside tree removal using aerial imagery and crash analysis: A difference-in-differences approach

Ellen O. White and Marcia S. Meixler
Landscape and urban planning, Vol.244, p.104980
04/01/2024

Abstract

Difference-in-differences Georgia, USA High-resolution aerial imagery National Agriculture Imagery Program (NAIP) Traffic safety Change Detection
•Analyzed areas of tree removal along interstates in Georgia, USA with NAIP imagery. •25% of previously forested interstate roadsides to have experienced tree removal. •Tree crashes were not reduced despite this program goal. •Agencies need to consider measures other than tree removal to prevent tree crashes. Transport agencies worldwide remove roadside trees in the name of traffic safety. In 2017, the Georgia Department of Transportation (GDOT), the agency managing state and federal highways in the US state of Georgia, began clear-cutting trees on all transport agency property statewide, amounting to thousands of hectares of cleared land. As justification, GDOT cited fatal traffic crashes with trees. In this paper, we quantified the extent of tree removal within a 60 m buffer along the five major interstates in Georgia, using aerial imagery from the United States Department of Agriculture (USDA) Farm Service Agency’s National Agricultural Imagery Project (NAIP). We used supervised image classification and change detection on aerial imagery between 2015 and 2021. We also collected pre- and post-treatment crash data and conducted a difference-in-differences analysis on sampled road segments to isolate the effect of tree removal on crash rates. Results showed that 28.4 sq km of previously forested land in the interstate corridors were cleared of trees, 25% of the total forested land in the corridors. Tree crash fatalities did not decrease. Findings provide insight into approaches to roadside safety like tree removal while helping assess impacts and plan for next steps. The lack of evidence for reduced tree crash fatalities indicate that transport agencies should consider measures other than large-scale tree removal to prevent fatal crashes with trees.
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Accepted Manuscript (AM) Embargoed Access, Embargo ends: 04/01/2027, To request access, contact soarhelp@libraries.rutgers.edu. CC BY-NC-ND V4.0
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https://doi.org/10.1016/j.landurbplan.2023.104980View
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