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《Journal of Guizhou University(Natural Sciences)》 2018-06
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Spatial and Temporal Analysis of Bus Passenger Flow Based on Massive Smart Card Data

WU Qunyong;SU Keyun;ZOU Zhijie;National &Local Joint Engineering Research Center of Geo-spatial Information Technology,Fuzhou University;Key Laboratory of Spatial Data Mining & Information Sharing of MOE;  
Studying spatial and temporal variation of bus passenger flow can better understand the travel regulations and travel demand so as to provide better service for bus planning and dispatching.In this paper,IC card data and GPS bus data in Xiamen from June 13 to 26,2015 were used to investigate the spatial and temporal distribution of bus passenger flow.We calculate bus passenger OD and the bus passenger flow using MapReduce parallel computing framework of Hadoop and explore the time characteristics of bus passenger flow from different date(i.e.working days,weekends and holidays) and user groups(i.e.elderly,students and adults).Next,we count the numbers of passenger who board the bus at each bus station and research spatial distribution pattern of passenger flow at bus stations.Finally,we investigate the change pattern at different time periods using the nuclear density analysis.SM City Square is selected and used to analyze the passenger OD flow.The study shows that the temporal pattern of bus passenger flow in Xiamen like M-shaped distribution,but different from the Beijing Mshaped bus travel distribution.The passenger flow of early peak are almost twice as much as that of late peak.The spatial pattern of passenger flow on bus station presents a contiguous gathering of islands and sporadic distribution outside the island.the passenger flow on early morning peak within the island showed an"入"shape distribution,which evolved into a"一"shape distribution of the northeast-southwestward direction over time.SM City Square,Zhongshan Road and the railway station shopping district are always the hotspots for bus passengers.
【Fund】: 国家自然科学基金项目(41471333);; 中央引导地方科技发展专项(2017L3012)
【CateGory Index】: U491.17
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