E-bikes enhance climate resilient urban mobility through heat adaptation as revealed by mediation analysis

This dataset contains the complete processed data and analysis scripts required to replicate the findings of the study "E-bikes enhance climate resilient urban mobility through heat adaptation as revealed by mediation analysis," published in Communications Earth & Environment. The research investigates how electric bicycles (e-bikes) contribute to urban climate resilience by enabling users to adapt to extreme heat. By employing a mediation analysis framework, we quantify the extent to which e-bikes mitigate the negative impacts of high temperatures on urban mobility compared to conventional cycling. Code & Methodology The provided code (primarily Python scripts) allows users to: - Mediation Analysis: Execute the mediation model to identify the direct and indirect effects of heat on travel behavior. - Visualization: Generate the main figures and tables presented in the manuscript. Usage Notes - Software Requirements: Python 3.9. - Contact: For questions regarding the data or code, please contact Yan Li at [e-mail].