Bike-sharing systems play a crucial role in encouraging sustainable transportation, and understanding their usage characteristics is essential for enhancing their contribution to urban mobility. This research seeks to investigate how weather conditions impact the utilization of a small-scale docked bike-sharing system. The study employed Generalized Linear Mixed Effects (GLME) models to analyze interactive events, using categorized weather parameters to represent various weather conditions. Several models were developed to comprehensively understand distinct travel behaviors and identify significant weather variables affecting the frequency of bike trips for transportation and leisure purposes. The findings reveal that rain had a significant deterrent effect on leisure cycling, particularly on weekdays. Cold and hot weather conditions exhibited a more pronounced impact on weekday bike trips, while weekend bike trips appeared to be less influenced by weather variables. The fall season was found to be the least favorable for leisure trips, while winter was determined to be the most unfavorable for transportation trips. Furthermore, hot days in the summer season negatively impacted bike usage only on weekdays. These insights have important implications for the development of a more resilient bike-sharing system, particularly in small-scale contexts. They provide valuable recommendations for tailored strategies to mitigate the impact of adverse weather conditions, thereby fostering an increase in usage of bike-sharing systems for both leisure and transportation purposes.

中文翻译：

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评估天气驱动的出行行为对小规模停靠式自行车共享系统使用情况的影响


自行车共享系统在鼓励可持续交通方面发挥着至关重要的作用，了解其使用特性对于增强其对城市交通的贡献至关重要。本研究旨在调查天气条件如何影响小型停靠式共享单车系统的利用。该研究采用广义线性混合效应 （GLME） 模型来分析互动事件，使用分类的天气参数来表示各种天气状况。开发了几个模型来全面了解不同的出行行为，并确定影响交通和休闲自行车出行频率的重要天气变量。研究结果表明，下雨对休闲骑行有显着的威慑作用，尤其是在工作日。寒冷和炎热的天气条件对工作日自行车旅行的影响更为明显，而周末自行车旅行似乎受天气变量的影响较小。发现秋季最不利于休闲旅行，而冬季被确定为最不利于交通旅行。此外，夏季的炎热天气仅在工作日对自行车的使用产生负面影响。这些见解对于开发更具弹性的共享单车系统具有重要意义，尤其是在小规模环境中。它们为量身定制的策略提供了有价值的建议，以减轻恶劣天气条件的影响，从而促进共享单车系统在休闲和交通目的中的使用增加。