天气与城市共享单车出行需求的关系探究

Research on the Relationship between the Weather and the Demand for Shared Bicycle Travel in Cities

文章以上海中心城区为例,选取天气情况、空气质量指标、温度、风速等关键变量,研究天气因素对共享单车出行需求的影响。首先,对共享单车和天气数据进行清洗和预处理,然后对其做描述性统计分析。最后借助SPSS软件对工作日和休息日数据分别构建线性回归模型。结果表明,阴天、雷阵雨、AQI、温度、风速对工作日与休息日的共享单车出行需求都有显著影响。

This paper takes Shanghai's central urban area as an example,selects key variables such as weather conditions,air quality indicators,temperature,and wind speed to study the impact of weather factors on the demand for shared bicycle travel.First,clean and preprocess the shared bicycle and weather data,and then do descriptive statistical analysis on it.Finally,with the help of SPSS software,a linear regression model was constructed for the data of working days and rest days.The results show that cloudy days,thunder showers,AQI,temperature,and wind speed have a significant impact on the demand for shared bicycle travel on working days and rest days.