  Understanding the motivators and deterrents to cycling is essential for
creating infrastructure that gets more people to adopt cycling as a mode of
transport. This paper demonstrates a new approach to support the prioritization
of cycling infrastructure and cycling network design, accounting for cyclist
preferences and the growing emphasis on 'filtered permeability' and 'Low
Traffic Neighborhood' interventions internationally. The approach combines
distance decay, route calculation, and network analysis methods to examine
where future cycling demand is most likely to arise, how such demand could be
accommodated within existing street networks, and how to ensure a fair
distribution of investment. Although each of these methods has been applied to
cycling infrastructure prioritization in previous research, this is the first
time that they have been combined, creating an integrated road segment
prioritization approach. The approach, which can be applied to other cities, as
shown in the Appendix, is demonstrated in a case study of Manchester, resulting
in cycling networks that balance directness against the need for safe and
stress-free routes under different investment scenarios. A key benefit of the
approach from a policy perspective is its ability to support egalitarian and
cost-effective strategic cycle network planning.
