摘要
公交IC卡数据是公共交通系统的一项重要数据资源,但囿于传统分析方法和一票制数据质量问题,其应用功能尚未充分发挥。在研究大数据分析方法与传统分析方法差别的基础上,依托金华市实际公共交通IC卡、GPS数据,揭示了2013年9月前后公交乘客出行特征、客流特征,提出了公交乘客出行特征大数据分析方法。
The intelligent card data of public transport is one of the important data resources of the public transport system, which confined to the method of traditional analysis and the quality problems of one-ticket data, its application function has not yet been fully played. In this paper, based on contrasting the difference of big data analysis method and traditional analysis method, using the real public transport intelligent card data and GPS data of Jinhua, the paper reveals the travel characteristics and passenger flow characteristics of transit passenger before and after September 2013, and presents a new big data analysis method of passenger travel character of public transport.
出处
《交通与运输》
2016年第A01期170-175,共6页
Traffic & Transportation
基金
交通事故影响下的城市路网拥堵传播规律及控制策略研究
浙江省自然科学基金青年科学基金项目(项目资助号:LQ15E080005)
关键词
大数据分析
出行特征
公共交通
IC卡数据
Big data analysis
Travel character
Public transport
Intelligent data
