Automated Detection of Missing Links in Bicycle Networks

• DOI: 10.1111/gean.12324
• Publication Date: 2022-03-22T01:50:02Z
• Authors: Anastassia Vybornova; Tiago Cunha; Astrid Gühnemann; Michael Szell
• Keywords: Prioritization

Cycling is an effective solution for making urban transport more sustainable. However, bicycle networks are typically developed in a slow, piecewise process that leaves open large number of gaps, even well‐developed cycling cities like Copenhagen. Here, we develop the IPDC procedure (Identify, Prioritize, Decluster, Classify) finding most important missing links networks, using data from OpenStreetMap. In this first identify all possible gaps following multiplex network approach, prioritize them according to flow‐based metric, decluster emerging gap clusters, and manually classify types gaps. We apply Copenhagen report 105 top priority For evaluation, compare these with city’s recent Cycle Path Prioritization Plan find considerable overlaps. Our results show how analysis minimal requirements can serve as cost‐efficient support tool planning. By taking into account whole city consolidating infrastructure, our data‐driven framework complement localized, manual planning processes effective, city‐wide decision‐making.