基于问卷调查的互联网自行车满意度Logistic回归分析：老年人视角分析

The Logistic Regression Analysis of Satisfaction Degree for Sharing Bike Based on Questionnaire Survey Data

摘要: 通过深圳新闻网、腾讯大粤网以及微信公众号等网络渠道，我们开展了关于互联网自行车用户满意度的网络问卷调查。基于问卷调查的结果，互联网自行车用户满意度相对于年收入、出行目的、年龄、骑行时间、骑行次数和原出行方式等进行了Logistic回归分析。结果显示，年收入、出行目的、年龄、骑行时间、骑行次数与互联网自行车的满意度之间的关系显著，原出行方式与互联网自行车的满意度之间的关系不显著。年收入增加、出行目的从通勤变到休闲健身等非高峰时段出行、年龄增加，用户对互联网自行车的满意度降低。骑行时间增加、骑行次数增加，用户对互联网自行车的满意度提高。以上分析可知，老年人对互联网自行车的满意度普遍较低。

Abstract: The satisfaction degree of sharing bike is investigated by questionnaire survey, through Shenzhen News Net, qq, and WeChat Official Accounts. Based on the survey data, the Logistic regression analysis for satisfaction degree of sharing bike is conducted with respect to user annual income, trip aim, age, riding time, riding times, and original travel mode. It is concluded that user annual income, trip aim, age, riding time, and riding times are closely concerned with satisfaction degree of sharing bike, while original travel mode is rarely correlated with satisfaction degree of sharing bike. With the increase of user annual income and age, trip aim changed from commute to non-peak-hour trip, the satisfaction degree of sharing bike decreases. With the increase of riding time and times, the satisfaction degree of sharing bike increases.