Abstract To identify the determinants of bike share users' route choices, this research collects 132,397 hub-to-hub global positioning system (GPS) trajectories over a 12-month period between April 1, 2015 and March 31, 2016 from 750 bicycles provided by Hamilton Bike Share (HBS). A GIS-based map-matching algorithm is used to derive users' routes along the cycling network within Hamilton, Ontario and generate multiple attributes for each route, such as route distance, route directness, average distance between intersections, and the number of turns, intersections, and unique road segments. Concerning route choice analysis, the origin and destination pair should be the same for all routes within a choice set, thus HBS users' trips are grouped by origin-destination hub pairs. Since trips taken by different users between a hub pair can follow the same route, unique routes are extracted using a link signature extraction tool. Following this, a normalized Gini (Gn) coefficient is calculated for each hub pair to evaluate users' preferences among all the unique hub-to-hub route choices. A Gn closer to 0 indicates that routes between a hub pair are more evenly used, while a value closer to 1 implies a higher preference toward one dominant route. Three route choice models, a global model, a medium Gn model, and a high Gn model, are estimated using Path-Size Logit to determine how route choice is affected by the presence of dominant routes. These models suggest that HBS users are willing to detour for some attributes, such as bicycle facilities, but tend to avoid circuitous routes, turns, steep slopes, and roads with high traffic volume.

中文翻译：

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共享单车用户的路线选择：利用 GPS 数据推导出选择集

摘要 为了确定共享单车用户路线选择的决定因素，本研究从 2015 年 4 月 1 日至 2016 年 3 月 31 日期间的 12 个月内，从 750 辆自行车中收集了 132,397 条枢纽到枢纽全球定位系统 (GPS)汉密尔顿自行车共享 (HBS)。基于 GIS 的地图匹配算法用于沿安大略省汉密尔顿市的自行车网络推导出用户的路线，并为每条路线生成多个属性，例如路线距离、路线直接性、交叉路口之间的平均距离和转弯次数，交叉路口和独特的路段。关于路线选择分析，选择集中所有路线的起点和终点对应该相同，因此HBS用户的行程按起点-终点枢纽对进行分组。由于不同用户在一个集线器对之间进行的旅行可以遵循相同的路线，因此使用链接签名提取工具提取唯一的路线。在此之后，为每个枢纽对计算归一化基尼 (Gn) 系数，以评估用户在所有独特的枢纽到枢纽路线选择中的偏好。接近 0 的 Gn 表示集线器对之间的路由使用更均匀，而接近 1 的值意味着对一条主导路由的更高偏好。使用路径大小 Logit 估计三个路线选择模型，即全局模型、中等 Gn 模型和高 Gn 模型，以确定路线选择如何受到主导路线的影响。这些模型表明 HBS 用户愿意为某些属性绕道，例如自行车设施，但倾向于避开迂回路线、转弯、陡坡、