探索郊区步道满意度的关键相关性及其非线性关系

Jasmine Cao, Chun Yin
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引用次数: 0

摘要

使用从Woodbury, MN的步道用户收集的数据,本研究应用梯度增强决策树来探索步道元素与用户总体满意度之间的非线性关联。风景、人身安全和人际关系是整体满意度最重要的因素。几个跟踪因素对总体满意度表现出非线性影响。具体来说,颠簸和照明在表现不佳时极大地影响了整体满意度,而个人安全、小径的家庭通道和阴影在表现良好时提高了整体满意度。结果还表明,该市应优先考虑改善颠簸、照明、道路交叉、安全和通道,以有效提高用户满意度。
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Exploring Key Correlates of Trail Satisfaction and their Nonlinear Relationships in Suburban Areas
Using data collected from trail users in Woodbury, MN, this study applies gradient-boosting decision trees to explore the nonlinear associations between trail elements and user overall satisfaction. Scenery, personal safety, and connection are the most important contributors to overall satisfaction. Several trail elements show nonlinear effects on overall satisfaction. Specifically, bumps and lighting greatly affect overall satisfaction when their performance is poor, whereas personal safety, home access to trails, and shade improve overall satisfaction when performing well. The results also showed that the city should prioritize improvements on bumps, lighting, roadway crossing, safety, and access to enhance user satisfaction effectively.
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