Analyzing route preferences is crucial for comprehending how individuals choose their travel paths, assessing road facilities, and anticipating upcoming traffic conditions. This study aimed to explore the factors influencing route selections made by private and public bike users and compare their decisions during peak and off-peak hours. Global positioning system (GPS) traces of 12,106 private bike users and 74,397 public bike users from a single weekday in Seoul, South Korea, were used. A map-matching process aligned the GPS data with a comprehensive cycling network encompassing bikeways, sidewalks, neighborhood roads, and their street attributes such as urban, park, and river streets. Choice sets composed of the shortest and 10 alternative routes were created to compare various road features with actual routes. By employing a path-size logit model to address overlapping issues among the routes, the results showed that buffered bike lanes separated from car flows positively influenced the route selection of bicyclists. Bike boulevards and shared sidewalk bikeways negatively impacted route decisions made by public bike users, with a more pronounced effect during peak hours. Furthermore, private bike users showed a decreased preference for routes in residential areas during peak hours, while an increased preference during off-peak hours. Moreover, public bike users preferred selecting routes in the presence of shopping-stores or amenities as well as public transit stations, with these effects being more pronounced during peak hours. These findings are expected to contribute to capturing valuable insights into the route preferences of bicyclists for the improvement of bicycle infrastructures.

中文翻译：

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使用韩国首尔的 GPS 数据了解私人和码头公共自行车用户的路线选择偏好

分析路线偏好对于理解个人如何选择出行路径、评估道路设施和预测即将到来的交通状况至关重要。本研究旨在探讨影响私人和公共自行车用户路线选择的因素，并比较他们在高峰和非高峰时段的决定。使用了韩国首尔单个工作日 12,106 名私人自行车用户和 74,397 名公共自行车用户的全球定位系统 (GPS) 轨迹。地图匹配过程将 GPS 数据与综合自行车网络相匹配，该网络包括自行车道、人行道、社区道路及其街道属性，例如城市、公园和河流街道。创建由最短路线和 10 条替代路线组成的选择集，以将各种道路特征与实际路线进行比较。通过采用路径大小 Logit 模型来解决路线之间的重叠问题，结果表明，与车流分开的缓冲自行车道对骑自行车者的路线选择产生了积极影响。自行车道和共享人行道自行车道对公共自行车用户的路线决策产生了负面影响，在高峰时段影响更为明显。此外，私人自行车用户在高峰时段对居民区路线的偏好下降，而在非高峰时段偏好增加。此外，公共自行车用户更喜欢选择有购物商店或便利设施以及公共交通站点的路线，这种影响在高峰时段更为明显。这些发现预计将有助于获取有关骑车者路线偏好的宝贵见解，以改善自行车基础设施。