Corenet: A flexible framework for generating and prioritising core cycle network designs

Mode shift to cycling is a policy objective in many countries. However, cycling infrastructure designs often fail to produce the joined-up, direct, and safe networks needed for trips to switch. Planned interventions rarely align with demand, creating disjointed networks and ineffective investment. This paper introduces a new ‘corenet’ method for developing core cycling networks that provides complete and connected infrastructure designs for places with or without existing cycling networks. The method demonstrates its application in the Network Planning Tool for Scotland (NPT) to support city-wide network designs and serves as the foundation for the Network Planning Workspace (NPW) tool, enabling local authorities to plan cycle networks through a structured, tiered approach. The method integrates multiple datasets, including estimates of current and future demand and network geometries from multiple sources. It enables users to generate designs suited to local needs by balancing network cohesion, coverage, and directness metrics. The ‘corenet’ method also simulates network growth, supporting strategic expansion of cycling infrastructure in a prioritised sequence. Furthermore, a set of network evaluation metrics has been developed, enabling rigorous assessment of both proposed and existing cycling networks. We conclude by discussing how the method can be extended in future research and integrated with established processes for strategic network planning. • Tackles disjointed cycling networks that fail to get people cycling. • Integrates multiple data sources to balance coverage and directness on key routes. • Adapts across diverse urban contexts, supporting global active travel goals. • Simulates network growth, enabling long-term, sequenced investment pipelines. • Open-source package ensures reproducibility and transferability.

Authors

Institutions

Publication Details

Journal
Journal of Transport Geography
Published
2026-01-16
DOI
https://doi.org/10.1016/j.jtrangeo.2026.104549
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corenet: A flexible framework for generating and prioritising core cycle network designs

Hussein Mahfouz, Robin Lovelace, Dustin Carlino, Congying Hu et al.
Journal of Transport Geography
Urban Transport and Accessibility
article

Corenet: A flexible framework for generating and prioritising core cycle network designs

Hussein Mahfouz, Robin Lovelace, Dustin Carlino, Congying Hu, Joseph Talbot, Angus Calder, Zhao Wang, Juan Pablo Fonseca-Zamora, Hang Hu, Matthew Davis, Martin Lucas-Smith
article en

Abstract

Mode shift to cycling is a policy objective in many countries. However, cycling infrastructure designs often fail to produce the joined-up, direct, and safe networks needed for trips to switch. Planned interventions rarely align with demand, creating disjointed networks and ineffective investment. This paper introduces a new ‘corenet’ method for developing core cycling networks that provides complete and connected infrastructure designs for places with or without existing cycling networks. The method demonstrates its application in the Network Planning Tool for Scotland (NPT) to support city-wide network designs and serves as the foundation for the Network Planning Workspace (NPW) tool, enabling local authorities to plan cycle networks through a structured, tiered approach. The method integrates multiple datasets, including estimates of current and future demand and network geometries from multiple sources. It enables users to generate designs suited to local needs by balancing network cohesion, coverage, and directness metrics. The ‘corenet’ method also simulates network growth, supporting strategic expansion of cycling infrastructure in a prioritised sequence. Furthermore, a set of network evaluation metrics has been developed, enabling rigorous assessment of both proposed and existing cycling networks. We conclude by discussing how the method can be extended in future research and integrated with established processes for strategic network planning. • Tackles disjointed cycling networks that fail to get people cycling. • Integrates multiple data sources to balance coverage and directness on key routes. • Adapts across diverse urban contexts, supporting global active travel goals. • Simulates network growth, enabling long-term, sequenced investment pipelines. • Open-source package ensures reproducibility and transferability.

Journal of Transport GeographyVol. 131
University of Leeds (GB), Sustrans (GB), British Cycling (GB), State Development & Investment Corporation (China) (CN), Chongqing Construction Engineering Investment Holding (China) (CN), BTG International (United Kingdom) (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.