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A cycling-focused accessibility tool to support regional bike network connectivity

机译：一种以循环的可循环的可访问性，支持区域自行车网络连接

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摘要

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.
机译：通过提供新的自行车基础设施，美国在美国的许多城市正在努力成为更加“自行车友好的”，这对于所有类型的骑自行车者来说，从胆怯就可以安全和吸引力。这些努力得到了与经济，环境和公共卫生相关的循环活动率和有关的共同利益增加了较低的交通压力设施。但是，并非每一英里的自行车基础设施都提供了相同的实用程序，提示规划机构与有限的财务资源，以寻找有助于评估项目将提供最大的网络连接益处以及不同项目如何相互补充的实证方法，以彼此相互补充，以便互相补充哪些项目以产生完整的自行车网络。在这项研究中，我们介绍了网络连接（CRANC）的骑自行车的路由算法，一种面向辅助的决策支持工具，旨在为各种人口和社区量量量量量量量量量量规范新的自行车设施的好处。与现有工具不同，此方法模拟不同骑自行车者类型的路由偏好，以及旅行时间和交通压力水平的权衡，以模拟可能由全市各种方案和区域自行车网络扩展的多种方案产生的目标可访问性的潜在变化。在这里，Cranc适用于波士顿地区的自行车网络，以确定剑桥，马萨诸塞州剑桥的建议共用路径将如何改善区域就业机会的可达性以及剑桥的就业地点的劳动力。我们所引入的决策支持工具会产生与各种利益相关者相关的独特，有意义的结果，并将承担承担作为运输研究人员和从业者的新资源。

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