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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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There is a growing interest in exploring the relationships between the built environment and auto ownership and a number of studies have investigated the impact of rail transit on travel behaviour. However, few have disentangled the impact of rail transit on auto ownership from the influences of the built environment and residential self-selection. Using the light rail transit (LRT) in the Minneapolis-St. Paul metropolitan area, USA, this study applies the statistical control approach and quasilongitudinal design to examine the effects of LRT, neighbourhood design and selfselection on auto ownership. It is found that residential self-selection influences auto ownership; backyard size, off-street parking and business density marginally affect auto ownership; and the LRT does not have an independent impact on auto ownership beyond neighbourhood design and self-selection. The results point to the importance of neighbourhood design in rail transit development.