ArticleScientific reports2022
Growing urban bicycle networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Traffic-Weighted Detour Ratio Identifies Inefficient Cycling Routes.Entropy (Basel, Switzerland) · 2026Article
- Robust design of bicycle infrastructure networks.Scientific reports · 2025Article
- CoolWalks for active mobility in urban street networks.Scientific reports · 2025Article
- Cohesive urban bicycle infrastructure design through optimal transport routing in multilayer networks.Journal of the Royal Society, Interface · 2025Article
- Investigating the impact of fuel price shocks on bicycle sharing usage in Budapest.Scientific reports · 2024Article
- Development and Performance Evaluation of a Low-Cost Portable PMSensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cycling is a promising solution to unsustainable urban transport systems. However, prevailing bicycle network development follows a slow and piecewise process, without taking into account the structural complexity of transportation networks. Here we explore systematically the topological limitations of urban bicycle network development. For 62 cities we study different variations of growing a synthetic bicycle network between an arbitrary set of points routed on the urban street network. We find initially decreasing returns on investment until a critical threshold, posing fundamental consequences to sustainable urban planning: cities must invest into bicycle networks with the right growth strategy, and persistently, to surpass a critical mass. We also find pronounced overlaps of synthetically grown networks in cities with well-developed existing bicycle networks, showing that our model reflects reality. Growing networks from scratch makes our approach a generally applicable starting point for sustainable urban bicycle network planning with minimal data requirements.
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Registered trials
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