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This study adopts a gradient boosting decision tree (GBDT) model to contrast the relative importance of improving regional accessibility versus local land use for reducing driving distance, as well as their nonlinear and threshold effects. The nonlinear analysis allows us to scrutinize the effective impact scopes of urban and suburban centers, which can provide planning guidelines for polycentric development, while threshold effects can help planners determine normative ranges of land use settings for planning pedestrian-scale neighborhoods (e.g., the 15-minute life-circle plan in China). Based on a 2017 travel diary survey in Beijing, empirical findings reveal the synergistic effects of the proximities to urban and suburban centers on driving distance, demonstrating the importance of polycentric development for reduced driving. In addition, many local land use variables have distinctive threshold effects, including local …