摘要
通过问卷调查收集淮安市居民出行信息,利用SPSS对数据进行信度分析和效度分析,用主成分分析确定主要影响因素,用熵权法得出主要影响因素的重要度排序。运用此方法对淮安市的交通状况进行了调查。结果表明:主要影响因素指标权重从大到小依次为心理因素(34.689%)、候车时间(24.684%)和出行费用(21.571%)。为淮安市城市道路运输管理提供了具体的对策。
Collect the travel information of residents in Huai'an through questionnaire survey,use SPSS to analyze the reliability and validity of the data,use principal component analysis to determine the main influencing factors,and use entropy weight method to obtain the importance ranking of the main influencing factors.The above methods are used to investigate the traffic conditions in Huai'an City.The results shows that the main influencing factors were psychological factors(34.689%),waiting time(24.684%)and travel cost(21.571%)in descending order.According to the results,specific countermeasures are provided for the urban road transportation management of Huai'an City.
作者
包天雯
周桂良
卢迁
BAO Tianwen;ZHOU Guiliang;LU Qian(Huaiyin Institute of Technology,Huaian,Jiangsu 223001,China)
出处
《黑龙江交通科技》
2024年第1期146-149,共4页
Communications Science and Technology Heilongjiang