Using GIS Machine Learning Technique to Analysis Road Safety near Parks

: Parks are essential components of the city fabric, providing recreation and relaxation places to residents. 0.25-mile is a good walking distance. People within the park’s 0.25-mile service area are more likely to use non-motorized transportation to travel to the park. In complex traffic settings, bicycles and pedestrians are frequently at a higher risk of being involved in crashes. Thus, exploring road safety near parks is significant for cyclists and pedestrians. This study aims to analyze and measure spatial relationships between traffic crash clusters and park entrances to explore factors that influence traffic crashes near park entrances. The result suggests that road traffic level of stress and roadway design and park parking locations are both factors to impact the traffic conflicts near park entrances. To guarantee and improve safe non-motorized transportation to parks, park planners and designers should consider alternative park accessibility and connectivity for cyclists and walkers. This research aims to find factors that influence active transportation safety around parks. The result of this paper will contribute to creating a safe walking and bicycle environment around parks.