Understanding bike usage patterns is essential for increasing bike demand, evaluating the effectiveness of bike facilities, and improving the quality of the bike system. This study aims to identify factors that influence bike usage for zone-based departure and arrival trips. It also seeks to address knowledge gaps by comparing private and dock-based public bikes, as well as use on weekdays and weekends. This study employed GPS trajectory data from 12,106 private bikes and 29,776 dock-based public bikes over one week in Seoul, South Korea. The dataset comprises zone-based physical characteristics and cycling patterns for 19,153 census zones. To tackle the problem of excessive zero values for bike demand in many zones, zero-inflated negative binomial models were employed for analysis. The findings suggested that realized detours, arising from natural barriers and a lack of infrastructure, are associated with a reduction in arrival trips on weekends but an increase in departure trips on weekdays. Behavioral detours, linked to route preferences, tended to decrease usage of public bikes on weekdays. Departure and arrival trips increased in districts with a higher level of mixed land use and larger commercial areas on weekdays. Moreover, bicyclists tended to prefer districts with longer separated bikeways, while bike usage was likely to decrease in districts with a high floating population and vehicle lanes. These findings provide valuable insights into cycling usage patterns and associated factors, encouraging more extensive use of bikes.

中文翻译：

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考虑基于 GPS 轨迹的骑行特征的私人和公共自行车使用模式调查


了解自行车使用模式对于增加自行车需求、评估自行车设施的有效性和提高自行车系统的质量至关重要。本研究旨在确定影响基于区域的出发和到达行程的自行车使用的因素。它还试图通过比较私人和码头公共自行车以及工作日和周末的使用来解决知识差距。这项研究使用了韩国首尔一周内 12,106 辆私人自行车和 29,776 辆停靠公共自行车的 GPS 轨迹数据。该数据集包含 19,153 个人口普查区域的基于区域的物理特征和骑行模式。为了解决许多地区自行车需求零值过高的问题，采用零膨胀负二项式模型进行分析。研究结果表明，由于自然障碍和基础设施缺乏而造成的绕行与周末抵达行程减少但工作日出发行程增加有关。与路线偏好相关的行为绕行往往会减少工作日公共自行车的使用。在土地混合利用程度较高和商业区较大的地区，工作日出发和抵达的出行量有所增加。此外，骑自行车的人往往更喜欢自行车道较长的地区，而在流动人口和车道较多的地区，自行车的使用量可能会减少。这些发现为自行车使用模式和相关因素提供了宝贵的见解，鼓励更广泛地使用自行车。