A bicycle node network is a wayfinding system targeted at recreational cyclists, consisting of numbered signposts placed alongside already existing infrastructure. Bicycle node networks are becoming increasingly popular as they encourage sustainable tourism and rural cycling, while also being flexible and cost-effective to implement. However, the lack of a formalized methodology and data-driven tools for the planning of such networks is a hindrance to their adaptation on a larger scale. To address this need, we present the BikeNodePlanner: a fully open-source decision support tool, consisting of modular Python scripts to be run in the free and open-source geographic information system QGIS. The BikeNodePlanner allows the user to evaluate and compare bicycle node network plans through a wide range of metrics, such as land use, proximity to points of interest, and elevation across the network. The BikeNodePlanner provides data-driven decision support for bicycle node network planning, and can hence be of great use for regional planning, cycling tourism, and the promotion of rural cycling.

翻译：自行车节点网络是一种面向休闲骑行者的寻路系统，由沿现有基础设施布设的编号路标构成。自行车节点网络因其能促进可持续旅游和乡村骑行，同时实施灵活且成本效益高，正日益普及。然而，缺乏用于规划此类网络的规范化方法和数据驱动工具，阻碍了其更大规模的推广。为满足这一需求，我们提出了BikeNodePlanner：一个完全开源的决策支持工具，由可在免费开源地理信息系统QGIS中运行的模块化Python脚本组成。BikeNodePlanner允许用户通过土地利用、兴趣点邻近度及网络高程等多种指标来评估和比较自行车节点网络规划方案。该工具为自行车节点网络规划提供数据驱动的决策支持，因此可广泛应用于区域规划、骑行旅游及乡村骑行的推广。