BikeNodePlanner: A data-driven decision support tool for bicycle node network planning

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.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2025-06-30
DOI
https://doi.org/10.1177/23998083251355999
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

BikeNodePlanner: A data-driven decision support tool for bicycle node network planning

Michael Szell, Ane Rahbek Vierø, Anastassia Vybornova, Karen Lee Hansen
Environment and Planning B Urban Analytics and City Science
Transportation Planning and Optimization
article

BikeNodePlanner: A data-driven decision support tool for bicycle node network planning

Michael Szell, Ane Rahbek Vierø, Anastassia Vybornova, Karen Lee Hansen
article en

Abstract

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.

Environment and Planning B Urban Analytics and City ScienceVol. 52(7)
Roskilde University (DK), University of Copenhagen (DK), Danish Nature Agency (DK), Complexity Science Hub (AT), IT University of Copenhagen (DK)
Openalex Percentile: Top 83%
Transportation Planning and Optimization
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BikeNodePlanner: A data-driven decision support tool for bicycle node network planning — Michael Szell, Ane Rahbek Vierø, et al. · Environment and Planning B Urban Analytics and City Science (2025) | TGRS Research Map | TGRS