Time-space Analysis Of Bus Passenger Flow Based On GIS

Development of public transport has become the most effective way to alleviate pressure on one of the city traffic. With the use and promotion of IC card, public transport sector generated a lot of traffic-related data. Passenger data needs with specific spatial location information in order to deal with these data mining and analysis. In recent years, the development of geographic information system provides a number of methods for spatial data analysis, Through GIS-related spatial analysis methods to passenger data visualization and analysis on the spatial extent, the passenger can be easy and intuitive mining law.In this paper, it design and build a model of passenger data processing, and realization of the original passenger data integration processing. On this basis, it use GIS spatial analysis methods for Beijing bus passenger distribution visualize. By showing the distribution of passenger flow analysis, providing decision support to optimize the bus lines. The main contents include this paper:(1) Design bus passenger data processing system. The site multi-line passenger traffic merging process of generating new data table, and match the passenger attribute data and bus lines data with vector data.(2) Use the inverse distance interpolation method to visualize and analyze the passenger flow data. Extracted the city bus passenger data at different times, and display passenger data to two or three-dimensional and to tap the city’s traffic distribution.(3) Use the spatial autocorrelation method to excavate relationship between traffic zone hotspots. According to the data of the cell division of the Beijing Municipal Traffic, look for passenger traffic zone intrinsic link, and analysis of hot spots at different times within the city traffic zone formation causes and trends.(4) Bus station for classification and clustering optimization analysis. Based on the number of passenger lines and stations, or peak-hour factor in relations, use cluster analysis for stations to be divided. Depending on the type of station, put forward the corresponding station optimization.In this paper, though different spatial Analysis methods, to research and analysis the bus passenger data within the city, in a traffic zone or bus stations. Temporal-analysis of bus passenger were not only able to provide a basis for daily bus scheduling, can also provide transit planning and operational decision-making reference.