This research analyzes the relationship between bike-sharing and public transit using bike-sharing data collected in Cologne, Germany. The selected system is one of very few in Germany that is organized as a free-floating system, which allows the generation of more detailed data. A construction site in the light rail network causing multiple disruptions in the public transit network offered the possibility to detect changes in bike-sharing usage that occur in the corresponding period. Applying negative binomial regression, spatial and temporal usage patterns are analyzed to identify connections to the public transit network and other factors influencing the usage of bike sharing. The analysis suggests the existence of a spatial relationship between bike-sharing and public transit. Therefore, an intermodal use of both means of transport can be assumed. The short-term changes in the public transit network caused by the construction site only have minor impacts on the usage patterns. Other factors that affect the usage structures could be identified. Proximity to universities as well as the number of certain points of interest nearby, such as food outlets and shops, promote bike-sharing use. Higher temperatures are also positively correlated, while rain reduces usage. The findings of the study can be beneficial to integrate bike-sharing into urban transport systems, especially regarding public transit.

这项研究使用在德国科隆收集的自行车共享数据分析了自行车共享与公共交通之间的关系。所选系统是德国为数不多的以自由浮动形式组织的系统之一，该系统可以生成更详细的数据。轻轨网络中的一个建筑工地在公共交通网络中造成了多次中断，这使人们有可能检测到在相应时期内发生的自行车共享使用方式的变化。应用负二项式回归，分析空间和时间使用模式，以识别与公共交通网络的连接以及其他影响自行车共享使用的因素。分析表明自行车共享和公共交通之间存在空间关系。所以，可以假定两种运输方式都采用多式联运。施工现场对公共交通网络造成的短期变化只会对使用方式产生较小的影响。可以确定影响使用结构的其他因素。邻近大学以及附近的某些名胜古迹，例如食品商店和商店，都促进了自行车共享的使用。较高的温度也呈正相关，而雨水减少了用量。这项研究的结果可能有益于将共享自行车纳入城市交通系统，特别是在公共交通方面。邻近大学以及附近的某些名胜古迹，例如食品商店和商店，都促进了自行车共享的使用。较高的温度也呈正相关，而雨水减少了用量。这项研究的结果可能有益于将共享自行车纳入城市交通系统，特别是在公共交通方面。邻近大学以及附近的某些名胜古迹，例如食品商店和商店，都促进了自行车共享的使用。较高的温度也呈正相关，而雨水减少了用量。这项研究的结果可能有益于将共享自行车纳入城市交通系统，特别是在公共交通方面。