Abstract: Based on BaiduMap API (application program interface), a query system was developed for collecting and identifying POI (point of interest) in the surrounding area of metro rail transit station, which realized the automatic collection of POI. By optimizing the traffic zone blocking method, a traffic generation forecasting model was constructed, which was used to analyze the status quo along an urban rail transit line in A City. The results show that this method is helpful to improve data collecting efficiency and accuracy of traffic generation forecasting when it’s applied to forecast the shortterm trip generation and trip attraction of a planning urban rail transit line.

Key words: BaiduMap API, landuse patterns, trip generation, POI, rail transit