Published April 16, 2025 | Version v1
Conference paper Open

Integrating Low Traffic Neighbourhoods into UK Cycle Network Planning

  • 1. EPSRC Geospatial Systems Centre for Doctoral Training, Newcastle University
  • 2. NEtwoRks, Data, and Society (NERDS), IT University of Copenhagen
  • 3. ROR icon Complexity Science Hub Vienna

Description

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.

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GISRUK_2025_Abstract_CL.pdf

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