Globally, planners and policymakers have recognized cycling to be a sustainable and important component of urban transportation systems. Consequently, cities are increasingly investing in infrastructure as a means of generating cycling traffic in lieu of motorized traffic. Separated cycling infrastructure has been found to improve perceived safety amongst cyclists, and while many studies have aimed to demonstrate the impacts of an infrastructure intervention on cycling ridership, examining the growth in ridership or route pattern changes, this study provides a holistic analysis of the potential impacts of one infrastructure intervention. Using Hamilton Bike Share (HBS) GPS trajectories from January 2019 to August 2022, ( 578,211) in Hamilton, Ontario, and Dalumpines and Scott's (2011) GIS-based map-matching algorithm, this work consolidates three methods of analysis to determine spatial and ridership impacts of the City's Victoria Avenue cycle track intervention, which was completed in December 2021. Distributions of trip origins were mapped and network distances to the cycle track were modelled as distance-decay functions (pre- and post-intervention), with decreased distance-decay being found post-intervention. Secondly, the study presents a novel classification process to assess and enumerate trips post-intervention, and nearly 47% of all trips which used the cycle track post-construction were classified as ‘induced’ trips. Finally, the usage by HBS riders of streets parallel and perpendicular to the intervention pre- and post-intervention were tabulated and mapped, and a distinct ‘funneling’ pattern of trips post-intervention emerged. The cycle track saw increases in overall usage by HBS riders, while neighboring parallel streets saw decreased usage – indicating trip diversion to use the new infrastructure. Through these three analyses, this study not only presents a well-rounded examination of the potential impacts of the Victoria Avenue cycle track on Hamilton Bike Share ridership, it also provides a methodological framework for future, holistic studies of interventions' impacts on cycling ridership.

中文翻译：

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调查自行车道对共享单车出行的影响：整体方法和演示

在全球范围内，规划者和政策制定者已经认识到自行车是城市交通系统可持续且重要的组成部分。因此，城市越来越多地投资于基础设施，作为产生自行车交通代替机动交通的手段。研究发现，独立的自行车基础设施可以提高骑车者的安全感，虽然许多研究旨在证明基础设施干预对骑车人流量的影响，研究人流量的增长或路线模式的变化，但本研究提供了对潜在的潜在影响的整体分析。一项基础设施干预的影响。这项工作使用安大略省汉密尔顿 2019 年 1 月至 2022 年 8 月的汉密尔顿自行车共享 (HBS) GPS 轨迹 (578,211) 以及 Dalumpines 和 Scott (2011) 基于 GIS 的地图匹配算法，整合了三种分析方法来确定空间和于 2021 年 12 月完成的城市维多利亚大道自行车道干预措施对客流量的影响。绘制了出行起点的分布图，并将到自行车道的网络距离建模为距离衰减函数（干预前和干预后），其中距离减少-干预后发现腐烂。其次，该研究提出了一种新颖的分类过程来评估和列举干预后的出行，在使用自行车道施工后的所有出行中，近 47% 被归类为“诱导”出行。最后，HBS 乘客在干预前后平行和垂直于干预的街道的使用情况被制成表格和地图，并出现了干预后明显的“漏斗”出行模式。哈佛商学院骑手的总体使用量增加了自行车道，而邻近的平行街道的使用量却减少了——这表明出行转移到了新的基础设施上。通过这三项分析，本研究不仅全面考察了维多利亚大道自行车道对汉密尔顿自行车共享出行的潜在影响，还为未来干预措施对自行车出行影响的整体研究提供了方法框架。