Regular biography
Pengxiang Zhang is an Assistant Professor in the Business Department at Peking University. He can be contacted via email at zhangpx@gsm.pku.edu.cn or by phone at 010-62747647. His research interests and existing biography are not provided in the available information.
Scholar-generated biography
Pengxiang Zhang is a transportation engineer specializing in transportation safety, traffic flow theory, traffic modeling, VMT analysis, and machine learning. His research focuses on improving road safety through advanced analytical methods, such as propensity scores matching and empirical Bayes before-after methods. Zhang also explores the integration of social media data, like Twitter, for sentiment analysis of transit user feedback using NLP frameworks. His work includes studies on adaptive traffic signal control, high-friction surface treatments, and the feasibility of implementing rapid transit systems, particularly in cities like Harbin. Zhang's research contributes to the development of safer and more efficient transportation systems through data-driven approaches.