Integrating Low Traffic Neighbourhoods into UK Cycle Network Planning
Cycling offers a sustainable and viable mode of transport within cities. However, evidence shows that safe and connected infrastructure is required for mass-adoption, requiring large initial investment costs. In the UK, vast kilometres of safe streets for cycling are provided by Low Traffc Neighbourhoods (LTNs), however they are often not integrated properly into cycle network planning. This study introduces a new algorithm for planning cycle networks, prioritising connections between LTNs and existing infrastructure in order to maximise safe cycling with minimal investment cost. Initial results show the potential to rapidly expand safe cycling networks by closing short gaps between LTNs.
Institutions
- Engineering and Physical Sciences Research Council (GB)
- Complexity Science Hub (AT)
- Geospatial Research (United Kingdom) (GB)
- IT University of Copenhagen (DK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-16
- DOI
- https://doi.org/10.5281/zenodo.15231748
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00