数据挖掘在居民出行调查数据分析中的应用

摘要

针对居民出行调查数据背后信息挖掘的需求，介绍了居民出行调查数据挖掘的理论及方法，概述了居民出行调查数据挖掘的常规流程，选择 Apriori 模型对居民出行调查数据进行分析。以南京市居民出行调查数据为样本实例，采用职业、年龄、受教育程度、出行目的等几种属性，以SPSS 软件平台对各属性数据进行关联分析，确定影响居民出行方式选择的因素，得出改善居民出行方式构成的相应建议。%In view of the demand of resident trip survey data,this paper introduces the theory and method of data mining of resident trip survey.The general process of data mining of residents travel survey is overviewed,and the Apriori model is selected to analyze the residents travel survey data. Taking Nanjing residents travel survey data for a sample,using several attributes,such as occupa-tion,age,education level,and trip purpose,the SPSS software platform is used to analyze the attrib-utes of the data.The factors that affect the choice of residents'travel mode are determined,and the corresponding suggestions to improve the residents'travel mode are got.