Dr. Zhu Jiaxun, a Member of the Communist Party of China, is a dedicated young scholar specializing in built environment and traffic safety. He earned his Bachelor’s Degree in Transportation Engineering (2019–2023) and is currently pursuing a Master’s Degree in Civil Engineering (Urban and Rural Planning and Design) at Changsha University of Science and Technology. His scientific research focuses on the application of machine learning and interpretable artificial intelligence in traffic accident analysis, with influential publications as first author (excluding supervisor) in journals such as the China Journal of Highway and Transport and Accident Analysis and Prevention, and additional contributions to PloS One and the Journal of Central South University. Dr. Zhu has participated extensively in high-level scientific research projects, serving as Principal Investigator of the university’s Practical Innovation Project “Intersection Traffic Safety Considering the Spillover Effects of Built Environment – 6D Evaluation and Optimization Research” (Project No. 0003007), and contributing significantly to multiple major programs supported by the National Natural Science Foundation of China (NSFC) and the Hunan Provincial Natural Science Foundation, as well as postgraduate education reform research. His expertise spans XGBoost, SHAP, GAT-GNNExplainer, graph convolutional neural networks, recurrent neural networks, and other machine learning algorithms, along with strong proficiency in Python-based data processing and web scraping. With his academic foundation in transportation engineering and advanced research in urban–rural planning, Dr. Zhu continues to promote data-driven innovation in traffic safety and built-environment optimization.