How does the weather affect the shared bicycle usage?

The shared bicycle trips from Oslo in the 2017-season are analysed, showing shared bicycles usage, the daily and seasonally variations that exists, and how rain and temperature influences the use of shared bicycles. The trips are categorized by the speed, length and by the height difference of the trips. Linear regression analyses were conducted to understand how weather impacts differentiated types of trips differently during the hours of the day. There are daily and seasonally variances in how the shared bicycles are being used. The weather has an impact on the number of trips as well as the type of trips being made. Rain has a negative effect on the usage of shared bicycles. The number of long trips as well as the trips being made at a slow pace are the trip categories most affected by the rain, whereas trips made at a fast pace as well as trips during the morning rush hours are least affected. There is a correlation between higher temperatures and the number of shared bicycle trips being made, with the largest effect observed in the evenings. Warm weather has a greater positive impact on the number of trips being made at a slow pace than on the number of trips made at a fast pace. The information gathered is useful in contributing to the understanding of how the weather can affect the attractiveness of the soft modes and is also useful in transport planning on a larger scale.

本研究对2017运营季挪威奥斯陆的共享单车出行数据展开分析，揭示了共享单车的使用规律、日度与季节维度的变化特征，以及降雨与气温对共享单车使用的影响机制。研究按出行速度、出行时长及出行高差对出行数据进行分类，并通过线性回归分析，探究了不同时段下气象条件对各类出行的差异化影响。分析结果表明，共享单车的使用行为存在显著的日度与季节差异；气象条件不仅会影响共享单车的出行总量，也会改变用户的出行类型选择。降雨对共享单车使用存在显著负向影响，其中长距离出行与低速出行受降雨影响最为显著，而快速出行与早高峰时段出行受降雨影响最弱。气温升高与共享单车出行总量呈正相关关系，且该正向影响在晚间时段最为显著；温暖天气对低速出行的正向促进作用强于快速出行。本研究所得结论有助于理解气象条件如何影响慢行交通方式的吸引力，同时可为大规模交通规划工作提供参考依据。