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The nonlinear impact of cycling environment on bicycle distance: A perspective combining objective and perceptual dimensions

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References

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2022Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis150 cited
2020Identifying the nonlinear relationship between free-floating bike sharing usage and built environment

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144 cited

2019Why cities with high bicycling rates are safer for all road users133 cited

2019The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China126 cited

2022Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach119 cited

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2026Women’s walking behaviour and subjective well-being in the middle-income neighbourhoods of Santiago, Chile3 cited
2025Economic Optimization of Bike-Sharing Systems via Nonlinear Threshold Effects: An Interpretable Machine Learning Approach in Xi’an, China3 cited