Dynamic accessibility modelling for cycling

Incorporating time-of-day and demographic variability in infrastructure preferences

Bibliographic Data

ID12296808
AuthorsHans-Heinrich Schumann (Loughborough University, corresponding author), Craig Morton (0000-0003-0984-9580, Loughborough University), John Weightman (0009-0001-6096-3461, Loughborough University), Chuka John-Paul Agbu (Loughborough University)
Year2025
Volume131
Pages104508-104508
Publication date2025-12-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Transport Geography (JOURNAL)
Journal identifiersISSN: 0966-6923 • E-ISSN: 1873-1236
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jtrangeo.2025.104508
OpenAlexW7110145312
LanguageEN
Citations received2
References cited41

Increasing the opportunities for people to cycle addresses some of society's greatest challenges, including congestion, low air quality, health concerns, and unequal access to amenities. Current accessibility modelling identifies reachable spatially distributed activities but falls short of incorporating cycle parking facilities as well as riders' characteristics and time-dependent perceptions of cycling infrastructure. This article addresses this gap by developing the dynamic accessibility framework. It is applied to the university market town of Loughborough, UK, in an exemplary manner. The results showcase that accessibility to services depends on personal characteristics alongside time-dependent variables and that accessibility models should account for the presence of cycle parking facilities. The presented framework can be used as a tool to determine the best strategy to increase cycling accessibility on a spatially granular level, be it through improvements of cycling infrastructure and street lighting or behaviour change interventions

Built environment · Cycling · Perception · Poison control · Transport infrastructure · Smart Parking Systems Research · Urban Green Space and Health · Urban Transport and Accessibility

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