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基于Python大数据可视化的城市通勤特征分析研究——以上海市公共交通卡数据为例 被引量:4

Analysis and Research of Urban Commuter Characteristics Based on Python big Data Visualization——Taking the data of Shanghai public traffic card as an example
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摘要 目前,国内各个城市的公共交通系统发展迅速,公共交通卡凭借其便利、快捷等优势广泛应用于人们的日常出行活动中.基于Python大数据可视化技术,以上海市公共交通卡的数据为例,通过对公共交通卡大数据进行分析和研究,对于了解城市通勤特征、分析城市功能区分布、完善城市智能交通系统等具有十分重要的意义. data and its intrinsic characteristics is an important method for large data analysis.At present,the public transportation system of various cities in China has developed rapidly.The public transport card has been widely used in the daily travel activities by virtue of its advantages,such as convenience and shortcut.Based on the Python large data visualization technology,this paper takes Shanghai public traffic card data as an example to analyze and study the big data of the public traffic card.It is of great significance to understand the city commuter characteristics,analyze the distribution of urban functional areas and improve the urban intelligent transportation system.
作者 丁传炜 Ding Chuanwei(Jiangsu College of Tourism,Yangzhou,Jiangsu 225000,China)
出处 《伊犁师范学院学报(自然科学版)》 2019年第4期76-84,共9页 Journal of Yili Normal University:Natural Science Edition
关键词 PYTHON 大数据 通勤 Python Big data commuter
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