山东科学 ›› 2018, Vol. 31 ›› Issue (2): 72-78.doi: 10.3976/j.issn.1002-4026.2018.02.012

• 交通运输 • 上一篇    下一篇

宁波市公共自行车服务满意度评价模型构建研究

陈文鑫1,岳昊1 ,韩红艳2 ,施翔匀3   

  1. 1. 北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京 100044;2. 武汉理工大学交通学院,湖北 武汉 430070;3. 北方工业大学电气与控制工程学院,北京 100144
  • 收稿日期:2017-08-30 出版日期:2018-04-20 发布日期:2018-04-20
  • 作者简介:陈文鑫(1993—),男,硕士研究生,研究方向为城市公共交通管理、行人流仿真与应急疏散。E-mail:2949503219@qq.com
  • 基金资助:

    国家自然科学基金(71771013,71501011);外专局高端外国专家项目(SN20174100151);北京城市交通协同创新中心专项基金

Study on service satisfaction evaluation modeling of public bicycle in Ningbo

CHEN Wen-xin 1, YUE Hao 1, HAN Hong-yan 2, SHI Xiang-yun 3   

  1. 1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China; 2. School of Traffic, Wuhan University of Technology, Wuhan 430070, China; 3. School of Electrical and Control Engineering, North University of Technology, Beijing 100144, China
  • Received:2017-08-30 Online:2018-04-20 Published:2018-04-20

摘要:

以宁波市公共自行车为例,将因子分析法与二项logistic法相结合,对采集的1 688份居民满意度有效问卷展开分析。利用因子分析法筛选出6个因子,利用二项logistic法剔除并筛选出5个有效因子构建公共自行车服务满意度评价模型,合理评估当前宁波市公共自行车服务满意度。同时,利用随机抽取并不参与建模的5%问卷样本对评价模型进行校验,以确保模型的准确性与合理性。该研究有助于合理评价当前宁波市居民对公共自行车的服务满意度,同时适用于对未来一段时间内公共自行车服务满意度的预测。

关键词: 服务满意度, 二项logistic法, 公共自行车, 因子分析

Abstract:

Taking Ningbo public bicycle as a case study, the factor analysis and binomial logistic method were combined to analyze the 1 688 inhabitants′ valid satisfaction questionnaires. Factor analysis was used to select six factors, and the binomial logistic method was used to remove and select five effective factors, thus the service satisfaction evaluation model of public bicycle was built to evaluate current service satisfaction of public bicycle in Ningbo. At the same time, the evaluation model was checked by random sampling of 5% questionnaires which was not participating in modeling, so as to ensure the accuracy and rationality of the model. The results of research are helpful to evaluate current Ningbo citizens′ service satisfaction of public bicycle, and is suitable for the prediction of the service satisfaction of public bicycle in the future.

Key words: factor analysis, public bicycle, binomial logistic method, service satisfaction

中图分类号: 

  • U121