Visualization Analysis for Urban Human Traveling Behavior Based on Mobile Phone Data
CICTP 2015 - Efficient, Safe, and Green Multimodal Transportation - Proceedings of the 15th COTA International Conference of Transportation Professionals(2015)
摘要
With the fast development of data acquisition techniques and storage capabilities, more and more human travel related data has been collected. These "Big Data" bring both opportunities and challenges for human travel behavior research. In this paper, millions of residents' daily mobile phone records collected in Shanghai are analyzed by four visualization methods to characterize urban human travel behavior patterns. Particularly, this paper studies: 1) the travel OD map that reveals the spatial structure of travel demand, 2) the two-dimensional population density map that characterizes the continuous spatial distribution of residents, 3) the vector field map of resident movement that depicts the local movement feature of residents, 4) the particle graph of resident flow that demonstrates the smooth dynamic movement process of residents. Both the design objectives and the animation techniques for each visualization method are discussed. The findings on residents' travel behaviors could help the government make the appropriate urban planning and help residents make the better daily travel planning. © ASCE.
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关键词
travel behavior,visualization,data collection
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