基于决策树的居民出行方式影响因素分析 牛凯,张福明,陈宽民1 (1.长安大学公路学院,陕西西安710064) 擴要:作为城市交通规划、建设的依据,居民出行调查显得尤为重要。对于调查数据的挖 掘分析可以为交通结构的改善及交通政策的制定提供一定参考。本文基于西安市2015年居 民出行调查数据,对居民出行的影响因素进行分析。借助于CART算法,分别构建了长距 离出行条件与短距离出行条件下的决策树模型。该模型结果表明:短距离出行条件下,出行 目的为出行方式选择的主要影响因素,在此基础上,职业、年龄、是否开通公共自行车、出 行时间对出行方式的选择进一步产生影响;在长距离出行条件下,年龄为出行方式的主要影 响因素,性别、职业、有无公交卡、有无购车意愿、出行目的对出行方式的选择也会产生一 定的影响。 关镳词:决策树;CART:出行方式;影响因素 中图分类号:U491 Analysis of Influencing Factors of Residents Travel Mode Based on decision Niukai, Zhang Fu-ming, ChenKuan-min' (1 School of Highway, Chang'an University, Xi'an, Shaanxi, 710064) Abstract: As a basis for urban transportation planning and construction, residents travel surveys are particularly important. The mining analysis of survey data can provide some reference for the improvement of traffic structure and the formulation of traffic policy. Based on the survey data of residents travel in Xi'an in 2015, this paper analyzes the influencing factors of residents travel With the help of CART algorithm, the decision tree model under long-distance travel and short-distance travel conditions is constructed. The research results show short-distance travel conditions, the purpose of travel is the main influencing factors of travel mode selection. On this basis, occupation, age, public bicycles, travel time have further influence on the choice of travel modes: long-distance travel conditions Under the age the main influencing factors of travel mode, gender, occupation, whether there is a bus card, the willingness to buy a car the purpose of travel will also have a certain impact on the choice of travel mode Key words: decision tree; CART; travel mode; influencing factors 讯作者:牛凯,E-mail:751158994@qcom (c)1994-2019ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net基于决策树的居民出行方式影响因素分析 牛凯 1 ，张福明1 ，陈宽民 1 （1. 长安大学 公路学院，陕西 西安 710064） 摘要： 作为城市交通规划、建设的依据，居民出行调查显得尤为重要。对于调查数据的挖 掘分析可以为交通结构的改善及交通政策的制定提供一定参考。本文基于西安市 2015 年居 民出行调查数据，对居民出行的影响因素进行分析。借助于 CART 算法，分别构建了长距 离出行条件与短距离出行条件下的决策树模型。该模型结果表明：短距离出行条件下，出行 目的为出行方式选择的主要影响因素，在此基础上，职业、年龄、是否开通公共自行车、出 行时间对出行方式的选择进一步产生影响；在长距离出行条件下，年龄为出行方式的主要影 响因素，性别、职业、有无公交卡、有无购车意愿、出行目的对出行方式的选择也会产生一 定的影响。 关键词：决策树；CART；出行方式；影响因素 中图分类号：U491 Analysis of Influencing Factors of Residents' Travel Mode Based on Decision Tree Niukai1 , Zhang Fu-ming1 ,ChenKuan-min1 （1 School of Highway, Chang’an University, Xi’an, Shaanxi, 710064） Abstract:As a basis for urban transportation planning and construction, residents' travel surveys are particularly important. The mining analysis of survey data can provide some reference for the improvement of traffic structure and the formulation of traffic policy. Based on the survey data of residents' travel in Xi'an in 2015, this paper analyzes the influencing factors of residents' travel. With the help of CART algorithm, the decision tree model under long-distance travel conditions and short-distance travel conditions is constructed. The research results show that under short-distance travel conditions, the purpose of travel is the main influencing factors of travel mode selection. On this basis, occupation, age, public bicycles, travel time have further influence on the choice of travel modes; long-distance travel conditions Under the age, the main influencing factors of travel mode, gender, occupation, whether there is a bus card, the willingness to buy a car, the purpose of travel will also have a certain impact on the choice of travel mode. Key words:decision tree; CART; travel mode; influencing factors                                                              通讯作者：牛凯，E-mail:751158994@qq.com