建筑环境
人口统计学的
旅游行为
梯度升压
市中心
运输工程
地理
计算机科学
工程类
社会学
随机森林
土木工程
人工智能
人口学
考古
作者
Tao Tao,Xinyi Wu,Xinyu Cao,Yingling Fan,Kirti Das,Anu Ramaswami
标识
DOI:10.1177/0739456x20915765
摘要
Active travel is important to public health and the environment. Previous studies substantiate built environment influences active travel, but they seldom assess its overall contribution. Most of the studies assume that built environment characteristics have linear associations with active travel. This study uses Gradient Boosting Decision Trees to explore nonlinear relationships between the built environment and active travel in the Twin Cities. Collectively, the built environment has more predictive power for active travel than demographics, and parks, proximity to downtown, and transit access have important influences. The threshold effects of built environment variables help inform planning practice.
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