Research on the Improvement of the Efficiency of Beijing Bus Lanes Based on Data Research and Copilot for Power BI Analysis

This research focuses on the operational efficiency of bus lanes in Beijing, using the morning commuting time of a high school student in Haidian Distrct, Beijing, as the time series analysis sample. It comprehensively employs time series analysis and on-site investigation methods to monitor and analyze the commuting data and traffic flow in core areas such as North Third Ring Road and Zhongguancun Avenue in Haidian District. At the same time, it uses questionnaire research methods, designs multi-dimensional questionnaires, and widely collects citizens' opinions and suggestions on the operational efficiency of Beijing's bus lanes. With the assistance of the Copilot for Power BI intelligent tool for questionnaire analysis, it explores the problems existing in the setting and use of bus lanes and their coordination with non-bus lanes, and proposes targeted optimization strategies. The aim is to improve the utilization rate of bus lane resources, alleviate urban traffic pressure, and provide new thinking directions and practical references for the improvement of Beijing's traffic.