Many cities in the United States are working to become more “bike-friendly” through the provision of new bike infrastructure that is safe and attractive for all types of cyclists, from the timid to assured. These efforts are supported by evidence associating low level of traffic stress facilities with increased cycling activity rates and co-benefits related to the economy, environment, and public health. However, not every mile of bike infrastructure provides the same utility, prompting planning agencies with finite financial resources to search for empirical methods to help evaluate what projects will provide the greatest network connectivity benefit and how disparate projects can complement one another to produce a complete bike network. In this study, we introduce the Cyclist Routing Algorithm for Network Connectivity (CRANC), an accessibility-oriented decision-support tool designed to quantify the benefits of new bike facilities for various populations and neighborhoods. Unlike prior tools, this method simulates the route preferences of different cyclist types and trade-offs in travel time and level of traffic stress to model potential changes in destination accessibility that may result from multiple scenarios of citywide and regional bike network expansion. Here, CRANC is applied to the Boston region’s bike network to determine how a proposed shared-use path in Cambridge, Massachusetts will improve accessibility to regional job opportunities and to labor force for employment sites in Cambridge. Our introduced decision-support tool produces unique, meaningful results relevant to a variety of stakeholders, and holds promise as a new resource for transportation researchers and practitioners.

美国许多城市都在努力通过提供新型的自行车基础设施，使之变得更加“自行车友好”，这种基础设施对于从胆小到有保证的所有类型的骑车人来说都是安全且有吸引力的。这些努力得到了证据的支持，这些证据将交通压力低的设施与骑自行车活动率的增加以及与经济，环境和公共卫生有关的共同利益相关联。但是，并非每英里的自行车基础设施都提供相同的效用，这促使规划机构拥有有限的财务资源，以寻找经验方法来帮助评估哪些项目将提供最大的网络连通性收益，以及不同的项目如何相互补充以生产出完整的自行车网络。在这项研究中，我们介绍了用于网络连接的骑行者路由算法（CRANC），一个面向可访问性的决策支持工具，旨在量化新型自行车设施对不同人群和邻里的好处。与现有工具不同，此方法模拟了不同骑自行车者类型的路线偏好以及旅行时间和交通压力水平之间的权衡，以模拟可能因城市范围和区域性自行车网络扩展的多种情况而导致的目的地可达性的潜在变化。在此，将CRANC应用于波士顿地区的自行车网络，以确定在马萨诸塞州剑桥市拟议的共享使用道路将如何改善在剑桥地区就业机会和劳动力的可及性。我们推出的决策支持工具可产生与各种利益相关者相关的独特，有意义的结果，